But if we’re honest, it’s only in aggregate that behaviour change is going to have any real effect on the world outside the specifics of individual interactions. I think most people involved with design for behaviour change appreciate that it’s going to be mass behaviour change that makes the difference to humanity’s health, environment, happiness and effectiveness in the long run, whether via mass interpersonal persuasion or some other method.

This is where the opportunity for the most ambitious, most audacious plans becomes apparent, and few are more ambitious than Peace Dot, a new initiative from Stanford’s Peace Innovation Team, led by BJ Fogg and bringing together companies and organisations as diverse as the Dalai Lama Foundation, Facebook, CouchSurfing and Sourceforge.

The overall vision behind Stanford’s Peace Innovation work is clear – world peace could be possible in 30 years if we use innovation methods and new technology in the right way. The actual execution is something which will necessarily evolve and change as new technologies afford new possibilities and potential for connection and mass behavioural influence, and the Peace Dot project – while only a small part of this – is a great way to start and demonstrate what’s possible right now.

Initially at least, the focus is on getting a range of companies and organisations to demonstrate (via a special peace.xxxxx.nnn subdomain on their websites) how what they do is bringing people together, from different cultures, different countries, different religions, different political backgrounds etc, and encouraging understanding, cooperation and respect: a specific lens for considering corporate social responsibility in terms of contribution to peace. The ‘Peace Dot’ initiative becomes something like a hashtag for organising and making available current and past data clearly, with a certain degree of social proof to it: making it clear that stereotypes such as “X type of people don’t get on with Y type of people” are not necessarily true.

So Facebook is showing figures, updated daily (e.g. above & right) of new connections between people from different groups (as Dean Eckles points out in a comment on the Guardian’s article about the initiative, the graphs show new connections per day, rather than the cumulative total of connections, so the relative ‘flatline’ of Muslim-Jewish connections is actually showing steady progress); CouchSurfing (below right) is highlighting how it helps initiate cultural exchanges, forming international friendships; while even relatively smaller organisations such as Kara Chanasyk’s White Lotus Design are able to demonstrate how what they do helps bring people together.

As the Peace Dot network develops – with the idea spread via Twitter, Facebook, Google Groups and so on – and more organisations get involved, I’m sure the strategies will develop too, with increasingly innovative persuasive approaches to influencing peace and cooperation. Even encouraging more people to believe that peace is possible, and believing that others believe that too, and that technology is able to help with this, is a significant development. It’s a very worthwhile project to keep an eye on, and it almost inevitably provokes us to consider the extent to which each of us has the potential to be involved, with this kind of initiative or with one of the many thousands of others that might arise: by definition, world peace needs all of us.

For this edition, it centres on using mobile technology, including speakers from Nokia, Symbian and Sagem and a multidisciplinary team-based challenge based on a real persuasive design problem – as Arjan puts it, “Design for Conversion is not for the faint at heart as there is no escaping the interactive nature of the format.” (I understand a card-deck version of the Design with Intent toolkit, not yet released, will be involved in the team challenges – it’s great to be able to help out like this, and have a different kind of audience try it out). Some of the testimonials from speakers at previous editions, such as Eric Schaffer, Andrew Chak and BJ Fogg are especially complimentary about how refreshing the interactive format is.

All in all, Design for Conversion seems like a colourful, exciting, friendly and relatively intimate (150 people) event, and until 11th November there is a discounted early-bird registration fee. Thanks to Arjan for letting me know about this, and I hope it all works out well.

Next year’s edition, taking place in New York, also sounds interesting, with Dan Goldstein among the speakers.

The Fun Theory (Rolighetsteorin), a competition / campaign / initiative from Volkswagen Sweden – created by DDB Stockholm – has been getting a lot of attention in the last couple of weeks from both design-related people and other commentators with an interest in influencing behaviour: it presents a series of clever ‘design interventions’ aimed at influencing behaviour through making things “fun to do” – taking the stairs instead of the escalator, recycling glass via a bottle bank and using a litter bin. The stairs are turned into a giant piano keyboard, with audio accompaniment; the bottle bank is turned into an arcade game, with sound effects and scores prominently displayed; and the litter bin has a “deep pit” effect created through sound effects played as items are dropped into it. It’s exciting to see that exploring design for behaviour change is being so enthusiastically pursued and explored, especially by ad agencies, since – if we’re honest – advertisers have long been the most successful at influencing human behaviour effectively (in the contexts intended). There’s an awful lot designers can learn from this, but I digress…

As a provocation and inspiration to enter the competition, these are great projects. The competition itself is interesting because it encourages entrants to “find [their] own evidence for the theory that fun is best way to change behaviour for the better”, suggesting that entries with some kind of demonstrated / tested element are preferred over purely conceptual submissions (however clever they might be) which have often been a hallmark of creative design competitions in the past. While the examples created and tested for the campaign are by no means “controlled experiments” (e.g. the stats in the videos about the extra amount of rubbish or glass deposited give little context about the background levels of waste deposition in that area, whether people have gone out of their way to use the ’special’ bins, and so on), they do demonstrate very well the (perhaps obvious) effect that making something fun, or engaging, is a way to get people interested in using it.

Triggers

Going a bit deeper, though, into what “the theory of fun” might really mean, it’s clear there are a few different effects going on here. To use concepts from B J Fogg’s Behaviour Model, assuming the ability to use the stairs, bottle bank or bin is already there, the remaining factors are motivation and triggers. Motivation is, on some level, presumably also present in each case, in the sense that someone carrying bottles to be recycled already wants to get rid of them, someone standing at the bottom of the stairs or escalator wants to get to the top, and someone with a piece of litter in her hand wants to discard it somehow (even if that’s just on the ground).

(But note that if, for example, people start picking up litter from elsewhere in order to use the bin because they’re excited by it, or if – as in the video – kids run up and down the stairs to enjoy the effect, this is something slightly different: the motivation has changed from “I’m motivated to get rid of the litter in my hand” to “I’m motivated to keep playing with this thing.” While no doubt useful results, these are slightly different target behaviours to the ones expressed at the start of the videos. “Can we get more people to take the stairs over the escalator by making it fun to do?” is not quite the same as “Can we get people so interested in running up and down the stairs that they want to do it repeatedly?”)

So the triggers are what the interventions are really about redesigning: adding some feature or cue which causes people who already have the ability and the motivation to choose this particular way of getting out of the railway station to the street above, or disposing of litter, or recycling glass. All three examples deliberately, prominently, attract the interest of passers-by (”World’s deepest bin” graphics, otherwise incongruous black steps, illuminated 7-segment displays above the bottle bank) quite apart from the effect of seeing lots of other people gathered around, or using something in an unusual way.

And once they’ve triggered someone to get involved, to use them, there are different elements that come into play in each example. For example, the bottle bank – by using a game metaphor – effectively challenges the user into continuing (perhaps even entering a flow state, though this is surely more likely with the stairs) and gives feedback on how well you’re doing as well as a kind of reward. The reward element is present in all three examples, in fact.

Perhaps the most relevant pattern in all these examples, and the “fun theory” concept itself, is that of emotional or affective engagement. The user experience of each is designed to evoke an emotional response, to motivate engagement through enjoyment or delight – and this is an area of design where a lot of great (and commercially applicable) research work has been done, by people such as Pieter Desmet (whose doctoral dissertation is a model for this kind of design research), Pat Jordan, Marco van Hout, Trevor van Gorp, Don Norman and MIT’s Affective Computing group. Taking a slightly different slant, David Gargiulo’s work on creating drama through interaction design (found via Harry Brignull’s Twitter) is also pertinent here, as is Daniel Pink’s collection of ‘emotionally intelligent signage’ (thanks to Larry Cheng for bringing this to my attention).

What sort of behaviour change, though?

I suppose the biggest and most obvious criticism of projects such as the Rolighetsteorin examples is that they are merely one-time gimmicks, that a novelty effect is the most (maybe only) significant thing at work here. It’s not possible to say whether this is true or not without carrying out a longitudinal study of the members of the public involved over a period of time, or of the actual installations themselves. Does having fun using the stairs once (when they’re a giant piano) translate into taking the (boring) normal stairs in preference to an escalator on other occasions? (i.e. does it lead to attitude or preference change?) Or does the effect go away when the fun stairs do?

It may be, of course, that interventions with explicitly pro-social rhetoric embedded in them (such as the bottle bank) have an effect which bleeds over into other areas of people’s lives: do they think more about the environment, or being less wasteful, in other contexts? Have attitudes been changed beyond simply the specific context of recycling glass bottles using this particular bottle bank?

How others have done it

This campaign isn’t the first to have tried to address these problems through design, of course. Without researching too thoroughly, a few pieces of work spring to mind, and I’m sure there are many more. Stephen Intille, Ron MacNeil, Jason Nawyn and Jacob Hyman in MIT’s House_n group have done work using a sign with the ‘just-in-time‘ message “Your heart needs exercise – here’s your chance” (shown above) positioned over the stairs in a subway, flashing in people’s line-of-sight as they approach the decision point (between taking stairs or escalator) linked to a system which can record the effects in terms of people actually making one choice or the other, and hence compare the effect the intervention actually has. As cited in this paper [PDF], previous research by K D Brownell, A J Stunkard, and J M Albaum, using the same message, in a similar situation, but statically displayed for three weeks before being removed, demonstrated that some effect remains on people’s choice of the stairs for the next couple of months. (That is, the effect didn’t go away immediately when the sign did – though we can’t say whether that’s necessarily applicable to the piano stairs too.)

Last year I mentioned Finland’s “Kiitos, Tack, Thank you” bins, and in the comments (which are well worth reading), Kaleberg mentioned Parisian litter bins with SVP (s’il vous plaît) on them; most notable here is the work of Yvonne de Kort, Teddy McCalley and Cees Midden at Eindhoven on ‘persuasive trash cans‘ [PDF], looking at the effects of different kinds of norms on littering behaviour, expressed through the design or messages used on litter bins (shown to the left here).

Work on the design of recycling bins is, I think, worthy of a post of its own, since it starts to touch more on perceived affordances (the shape of different kinds of slots, and so on) so I’ll get round to that at some point.

Many thanks to everyone who sent me the Fun Theory links, including Kimberley Crofts, Brian Cugelman and Dan Jenkins (apologies if I’ve missed anyone out).

The RSA’s 2009/10 Design Directions competition has been launched, which means up and down the country there are design students and new graduates working on one of the pretty wide selection of briefs. Given the RSA’s aim of ‘removing barriers to social progress’ – with a significant commitment to using design to do this – the briefs are themed around design for social benefit, addressing issues ranging from helping an ageing workforce to helping new architecture graduates apply their skills in other contexts.

A couple of the briefs are explicitly about design for behaviour change, and thanks to working with Jamie Young of the RSA’s Design & Behaviour project on some ideas for briefs earlier this year, the Design with Intent toolkit is explicitly referenced as a ‘resource’ for the Independence Days brief on ‘reinventing assistive technology’ (sponsored by the Technology Strategy Board) and A matter of life…, a brief about improving patient compliance with taking prescribed medication (sponsored by GlaxoSmithKline). Both of these are very noble causes and I hope the Design with Intent patterns are useful inspiration in some small way; I look forward to seeing some of the results!

Design Approach worksheet

Nedra Kline Weinreich, author of Hands-on Social Marketing, has created a fantastic Design Approach for Behaviour Change worksheet based on the 12 design patterns from my Design with Intent toolkit poster.

By re-framing each of the patterns as a question – e.g. “How can you provide a cue to action at the appropriate time?” for kairos (discussed by BJ Fogg in his original book, Persuasive Technology) – Nedra turns the patterns more directly into cues for action themselves for a design team to brainstorm or think about. After working through the questions, asking each of them about the behaviour problem you’re working on, you pretty much end up with a set of possible solutions: this is a very clever way to structure the idea generation process. (As such I’ve added a link to Nedra’s worksheet to the DwI intro page of this site.)

Inspired by Nedra’s thinking, the next version of the DwI toolkit, which I’m putting together at present, will have a question element to each of the patterns.

Design for Persuasion conference, Brussels

At the beginning of October I was honoured to be invited to speak at Design for Persuasion, a new conference taking place at the impressive Belgacom Surfhouse in Brussels, organised (very well) by Christel de Maeyer and BJ Fogg.

The event was mainly directed towards ‘new media’ persuasion and design, focusing on practical applications rather than academic studies, and featured some great presentations from people such as Richard Sedley (who kindly took the above photo for me!), Amy Shuen, Bart de Waele (whose excellent ‘Addictive Websites’ slides you can see here), and other expert practitioners. Many of the presentations are on Slideshare; there are also some very nice photos on Flickr from Katrien Degreef.

Here’s my presentation (below) with a transcript here and image credits here. The handout (picture above right) I refer to is here [PDF].

Many thanks to Christel and BJ for organising this, and to the great people I talked to, including Nynke, Marijn and Arjan.

A pleasing statistic

Thanks to readers of this blog, the DwI toolkit v.0.9 poster [PDF] I originally posted back in April is at time of writing, the most-downloaded document ever from Brunel University’s institutional repository, BURA. (Much, much more than any of our other papers, too!)

With 28,000 downloads since it went on BURA, plus another 5,000 or so directly from the blog before I changed where the link pointed, and probably a few directly from Google Books (as well as a handful of at-cost sales of the physical printed poster) it gives me an incredibly warm feeling to think that so many people all over the world have found it interesting enough to read (and hopefully – in at least some cases! – use) it. Please do let me know (in the comments, or by email) if you’ve found it useful (or useless), what problems you’ve applied it to, how you think it could be improved, and so on, or have a go at the survey.

The next version (v.0.95) will take a different form (cards – which some of you will have tried out in a couple of workshops) and include some new patterns, as well as ‘question’ phrasing as mentioned above. I hope to have this available to download (or buy as a card deck) by the end of 2009.

Thanks again for making the DwI toolkit a success!

Things which slipped by without me writing about them much here

The last few months have been very busy for me as I rush to progress the PhD in sufficient depth and breadth while still doing other things, and I’m aware that I haven’t talked much about all this on the blog. I’ve been to the DiGRA conference and had great discussions with Ian Bogost and Sebastian Deterding; I’ve been to dConstruct and talked to Adam Greenfield; been to Greengaged and blogged about it for the site; been to a conference on Naturalistic Decision-Making and got some incisive advice from Gary Klein himself; and am about to present this paper [PDF] at Sustainable Innovation ‘09. With the help of some great participants (including Frankie who interviewed me here!) I’ve also managed to complete a series of Design with Intent workshops in which we’ve addressed a range of behaviour change briefs. The results of these workshops will be reported on here at some point soon, I promise!

So, stay tuned: as winter approaches, and sitting in front of a warm, glowing rectangle becomes more appealing, I will endeavour to blog more often and about more real examples of design with intent in the wild, a bit more like the blog used to be. Thanks for sticking with me.

Tim Holley’s Tio project, developed in response to a brief by Onzo, and described as ‘A Light Switch to Help Children Save Energy’ – deservedly won the HSBC Sustainability Prize at the Made in Brunel show:

“Children play a key role in reducing energy consumption due to the fact that they will be among the key decision-makers in the next 30 years. A simple way to engage and educate them is to concentrate on lighting, which accounts for up to 15% of electricity use in the home. The target market for Tio is 7-11 year-olds. This coincides with a period in primary education during which children begin to learn about the environment, energy and the effects that humans are having on the world. Tio [...]allow[s] children to demonstrate their knowledge of energy conservation to their family and encourage their role as ‘energy champions’ of the home. Tio has the potential to reduce lighting-use by up to 25%, resulting in an energy saving of up to 11% over a five year period…

The wall-mounted light switch[...] controls the lighting in the child’s room. Tio is soft and tactile, thus encourages user interaction. The character of ‘Tio’ displayed on the light switch encourages children to turn their lights off: Tio is happy when the lights have only been on for a short period of time. The longer they are left on, the angrier he becomes. This acts as an emotional reminder to turn the lights off…

The recommended ‘lights-on time’ is influenced by the child’s age, their daily activities and the time of day. [...] Information (‘lights-on’ time) is sent wirelessly from the wall switch to a computer. The computer programme allows the child to track their lighting-use performance over an extended period of time. The child takes care of a ‘virtual tree’ by moderating their lighting-use performance. This engages children to make a personal contribution to reducing energy consumption.”

There are some clever ideas in there, including pester-power (”Make sure your parents turn off their lights too”) and, from a Design with Intent toolkit point of view, some of the patterns you might be able to identify include affective engagement, self-monitoring, material properties and metaphors. There’s some neat product detailing too, such as the way Tio’s expressions are formed by different patterns of LEDs being illuminated under the translucent case.

Tim was a very useful and insightful tester of an earlier version of the Design with Intent toolkit back in autumn 2008 (as part of the pilot study reported in this co-authored paper [direct PDF link]) so it’s great to see his project get such recognition. He’s now working for Onzo in product R&D strategy and has some exciting and ambitious plans for the future: as a very talented young designer bringing together creative user-centred design and technology expertise with an eye for business strategy, I’m sure Tim will go far.

Across London at Goldsmiths, Alexander Kirchmann’s ‘Lehman’s Inheritance’ project aims “to create and design products, that can help an individual to manage the [economic] crisis” such as this pint glass with cost markings (right). As Alexander puts it, “my products are the inheritance of the crash… By exposing people to their spending and also to their earnings my design is saving the owner money.”

This is an incredibly simple project (at least the example that’s illustrated – I’d be interested to know what other products Alexander modified / created). But the impact of exposing costs in this way – self-monitoring without any special equipment – could be very effective. In some of the recent workshops I’ve run with designers and students, similarly low-tech feedback concepts have been suggested for problems such as reducing water wastage (sinks with scales marked on them) and reducing overfilling of electric kettles.

More projects coming up in Part 3.

Images from the websites linked.

Next week: Design for Persuasion in Brussels; after that, I’ll be back on a schedule more suitable for blogging, for a while at least, and hope to get round to some of the great suggestions and ideas readers have sent in. Thanks for your patience!

As part of my PhD I’m testing different variants of the Design with Intent toolkit with designers (and design students) to find out how well different configurations work when a designer’s faced with a brief about influencing user behaviour: how useful are the ideas in inspiring solutions, and how well does using it compare to not using it?*

For the latest round of workshop sessions, to take place in September, I need 6 people to take part – if you’re a practising designer, design student or someone interested in this kind of field, and are able to give up a morning or afternoon, please do let me know.

I hope they’re relatively fun sessions – you get a series of design briefs and the idea is to generate and explain (sketches, notes, discussion) some possible solutions quite quickly – some briefs will mostly suit product solutions, while others are suitable for service solutions too. There’ll also be a bit about how you, as a designer, visualise and model the users you’re designing for, and how different design choices relate to different ‘models’ of the user. If you’re working on anything to do with behaviour change, or design innovation methods, I hope it will be useful to you.

There are going to be 3 sessions, with 2 participants in each. The sessions will last around 3 hours each; for part of it, you’ll be working together, and for the other part you’ll be working on your own. They’ll be during the week, taking place at Brunel University (Uxbridge, west London, end of the Piccadilly and Metropolitan lines). The most I can pay you for your time/travel is £10, plus cake or doughnuts or biscuits and plenty of coffee / tea / water. If that still sounds attractive, please get in touch!

The exact dates aren’t decided yet, because it depends on who’s taking part, so if you’re interested, please email me – dan@danlockton.co.uk and suggest a few of the following dates when you’d be available and I’ll get back to you if / when I can pair up people around at the same time! Possible dates are: 7, 8, 9, 10, (not 11 or 14), 15, 16, 17, 18, 21, 22, 23, 24, 25 September 2009.

Thanks for your help!

P.S. If a team from your company or organisation would like to take part in a full / longer / tailored-to-what-you-need ‘Design with Intent’ workshop, please get in touch too. The more people use this stuff, find flaws and suggest improvements, the better it’ll get and the more useful it’ll be.

Photos from some workshop sessions earlier this summer. Doughnuts will be provided; racing car might not be there.

*The results, along with those from some of the other workshops I’ve run in the last few months, are going into an article to be submitted to Design Studies, and the results from part of the session may also be used in an article to be submitted to the International Journal of Design.

Jasmine Cox’s Displacement Engine (Dundee) is “a navigational compass which gives you a little extra push to break away from routine, to wander the unexplored route… By pulling the slider closer and pushing it further away, the user learns to relax the need to be heading in an absolute direction. It allows the experience of a place and an outdoor space to absorb and distract them.” The variability of the GPS signal means that the device perhaps won’t always be ‘reliable’ – again, leading the user to explore and think for him or herself rather than being able to trust the device entirely. As Jasmine says here, it’s somewhere between a sat-nav and dérive.

The question of how much the paths and routes we take (physically and in whatever metaphorical way you can think of) are controlled, or at least influenced, by what maps, devices, signs, etc are telling us is something that I’ve touched a few times with this blog over the years (e.g. here). Practical semiotics as wayfinding decision-making heuristics, maybe. As someone who grew up obsessively poring over maps and atlases, memorising road networks and coastlines, trying to visualise these unknown places (and drawing plenty of my own), I’m fascinated by the possibilities of sat-navs and navigational devices which structure our choices for us (as Adam Greenfield notes, perhaps even removing routes we ‘don’t want to be walking down’), even though (in practice) I very much dislike using them, and it horrifies me to become reliant on them. I’ve had the “ROAD ENDS 800 FEET” sign looming at me out of the night after following a calm voice’s directions down a canyon track somewhere off Mulholland Drive. I’ve also spent happy afternoons driving across the Fens with a scruffy, annotated Philip’s Navigator on my lap and no purpose in mind other than seeing interesting places, and I know which I prefer. Jasmine’s project helps bridge that divide a bit, or at least twist it in a new and intriguing direction.

Jasmine’s blog chronicling the development process is interesting, too: it’s a great insight into the thought processes of how a project like this actually gets done, the decisions made at different stages, and how contingent the result is on conditions, insights and ideas earlier on. I expect something like this helps quite a lot with writing up a major project, though I know I always wrote the development story for my projects right at the end, when the various dead-ends and mistakes could be woven and re-ordered into something that sounded more professional, or so I hoped.

Intended to encourage people to drink more water while out shopping or walking, without buying bottled water (and throwing away the bottle each time) Source by Oliver Craig (Loughborough) is essentially a modern take on the public water fountain (which has disappeared in many areas of the UK – how many new shopping centres include them?), combining it with the convenience of bottled water: using special bottles filled via a valve in the base, pedestrians could get free filtered tap water from a network of fountains, positioned at the entrances to participating stores who would also sell the bottles. Re-using the bottles earns the user points which can be spent in the participating stores.

From one point of view, free fountains which don’t require a special bottle (i.e. no format lock-in) would be preferable (as so often in the UK, the concern is about “value for money” and vandalism rather than public need), but something like Source, with special bottles, the sale of which funds the scheme, could be a step in the right direction.

Ravensbourne’s Kei Wada’s How Long? Door Knob and Tag, along with his Whose Turn? Bottle Opener address behaviours in a shared environment such as a student house, applying design to ‘bad habits’. The Bottle Opener (right, below) “is a playful bottle opener that can be spun to help make decisions” such as who has to take the rubbish out, or buy milk, in the format of an object associated with parties and fun (whether this would increase or decrease the likelihood that housemates adhere to the ‘decision’, I don’t know!).

The Door Knob and Tag (left and middle, below) are timers for bathroom or shower doors – the knob is a replacement knob / lock for the door itself, while the tag can be hooked over the handle without actually enforcing a ‘lock’. But the principle is the same: “inspired by the annoying occurrence of never knowing how long flatmate will take in the shower. The person who takes the shower sets the timer when he/she locks the door, so the other housemates do not have to knock on the door and disturb their ablutions. When time is up, it rings to let the housemates know the room is vacant.” I particularly like Kei’s statement that “the act of setting the timer now becomes an extension of the motions involved in locking the door” – whether or not this kind of action (which requires prior thought in terms of deciding how long to set it for) could become an unconscious habit or not would be interesting to study.

Aside from annoying your housemates less, the timers could also work to reduce water and energy usage, in terms of time spent in the shower: if the alarm ringing sound were annoying or loud enough to make it socially unacceptable to spend too long in there, then this is a kind of socially enforced shower timer.

More projects coming up in Parts 2 and 3…

Images from the graduates’ websites linked.

I’m trying to find out how designers and design teams (in-house or consultancies) who’ve worked on influencing user behaviour think about what they’ve done – which techniques and patterns do people recognise that they’ve used, or considered? Do the patterns I’ve identified in the toolkit actually make sense to people who’ve put this stuff into practice strategically? Or do people think about it differently?

So, if you’ve worked on persuasive technology, behaviour change design, or influencing user behaviour in general, across any field where you consider that you’re designing stuff (service design, product design, interaction design, social design, user experience, information architecture, HCI, social marketing, mobile interaction, web design, network engineering, pervasive/ubiquitous computing, transformation design, advertising, urban planning, human factors, ergonomics, built environments, healthcare, environmental, safety, crime prevention – anything, in fact), I’d really appreciate it if you could spare a few minutes to have a go at this survey. It shouldn’t take too long unless you have a lot to tell me about!

‘Designers thinking about the effect they can have on behaviour‘ is a growing theme. The idea with this survey is that if we can collect together some good examples of where and how companies are using these ideas, what’s worked and what hasn’t (and why) (where you’re prepared to talk about it!), it’ll be a useful reference for everyone, as well as (potentially) a series of great case studies to be included in a book (at some point once my PhD’s out of the way). In the meantime, I’ll of course try to feature some of the projects on the blog.

If you take part in the survey, your details will go into a draw to win a classic book on design and behaviour (I’ll do one draw for every 20 participants). I’m not sure what the books will be yet, but there’s a lot to choose from. The survey doesn’t really have a closing date at present – I’ll leave it open as long as it’s getting interest.

Thanks for your help!

But sometimes it takes an example that’s not at first sight a ‘user interface’ or a ‘product’ to highlight how much difference certain design techniques can make.

This unattended layout of things on the beach at Santa Barbara, California, soliciting donations, is an interface, too. It’s been designed, cleverly, both to invite passers-by to participate (by throwing coins from an adjacent walkway) and to give them feedback on their throwing ability.

That target – the bright red Folger’s tub on the bright red square of fabric in the middle of the white sheet – is a crucial way of engaging people and getting them to contribute. Who, throwing a coin, isn’t going to try and get it in the tub? (Unless you’re trying to knock over the vases or the little surfers.) And when you miss, you’re going to try again. And again. (I know I did.) You get entertainment and a challenge which seems like it’s worth pursuing, and you can see your track record.

It mustn’t be too difficult. It’s Csíkszentmihályi’s flow, it’s fairground games theory applied to the simplest of begging sitations, but it works, in terms of getting people to contribute.

What it shows me from a design point of view is that explicitly using targets ought to be included as a Design with Intent technique / pattern in addition to related ones such as self-monitoring, in future versions of the toolkit. The target effect – and other game-related techniques – are sufficiently distinct to inspire plenty of design ideas on their own.

Of course this particular setup also uses a number of other techniques – affective engagement with the ‘Just Plain Hungry’ card, reciprocation with the ‘Make a Wish’ offer, colour & contrast and prominence & visibility with the way the arrangement draws the eye, operant conditioning in terms of a ‘reward’ when you succeed (the wish, or a sense of satisfaction) and social proof in the way that everyone can see that others have thrown coins (and even a note), and that everyone can see you contributing when you throw your coins (or if you decide not to) – a kind of peer surveillance. The plate of sand is an additional affective touch which also works well.

It’s almost like Robert Cialdini put the whole thing together.

It also makes me think it would be worth cataloguing the design techniques employed in the design of charity collecting boxes and games which offer donors (often children) something exciting or engaging in return for their money. I used to love spiral wishing wells and, in general, ones that did something (like this wonderful RSPCA example, though from before my time). There have to be lessons there for other designers interested in engaging users and motivating them to contribute, or behave in a particular way.

I hope whoever set all that up on that beach in Santa Barbara made some money that day. It would have been well deserved.

UPDATE: Thanks everyone – 10 participants in just a few hours! The study’s closed now – congratulations to Ville Hjelm whose book is now on its way…

If you’ve got a few minutes spare, are interested in the Design with Intent techniques, and fancy having a 1/10 chance of winning a brand-new copy of The Hidden Dimension, Edward T Hall’s classic 1966 work on proxemics (very worthwhile reading if you’re involved in any way with the design of environments, either architecturally or in an interaction design sense), then please do have a go at this quick card-sorting exercise [now closed].

It makes use of the pinball / shortcut / thoughtful user models I introduced in the last post, so it would probably make sense to have that page open alongside the exercise. The DwI techniques will be presented to you distinct from the ‘lenses’ (Errorproofing, Cognitive etc) so don’t worry about them.

The free WebSort account I’m using for this only allows 10 participants, so be quick and get a chance of winning the book! Once 10 people have done it, I’ll draw one of the participants out of some kind of hat or bucket and email you to get your postal address.

The purpose here (a closed card-sort, to use Donna Spencer’s terminology) is, basically, to find out whether the pinball / shortcut / thoughtful models allow the DwI techniques to be assigned to particular ways of thinking about users – that make sense to a reasonable proportion of designers. There’s no right or wrong answer, but if 80% of you tell me that one technique seems to fit well with one model, while for another there’s no agreement at all, then that’s useful for me to know in developing the method.

Thanks for your help!

Cover photo from Amazon

The ‘Pinball’ User

In this case, you think of users as, pretty much, very simple components of your system, to be shunted and pushed and pulled around by what you design, whether it’s physical or digital architecture. This view basically doesn’t assume that the user thinks at all, beyond basic reflex responses: the user’s a pinball (maybe a slightly spongey one) pushed and pulled this way and that, but with no requirement for understanding coming from within [1,2].

While things like deliberately uncomfortable benches or the Mosquito act against the Pinball User – effectively treating users like animals – this view need not always take such a negative approach – lots of safety systems, even down to making sure different shape connectors are used on medical equipment to prevent mistaken connections, don’t mind whether the user understands what’s going on or not: it’s in everyone’s interests to influence behaviour on the most basic level possible, without requiring thought.

The ‘Shortcut’ User

Here, you think of users as being primarily interested in getting things done in the easiest way possible, with the least effort. So you assume that they’ll take shortcuts [3], or make decisions based on intuitive judgements (Is this like something I’ve used before? How does everyone else use this? I expect this does what it looks like it does), habits, and recognising simple patterns that influence how they behave.

The Shortcut User is assumed not to want to think too much about what’s going on behind the scenes, beyond getting things done. He or she’s not always thinking about the best way of doing things, but a way that seems to work [4]. If systems are designed well to accommodate this, they can feel very easy to use, intuitively usable, and influence user behaviour through these kinds of shortcut mechanisms rather than anything deeper [5]. But there’s clearly potential for manipulation, or leading users into behaviour they wouldn’t choose for themselves if they weren’t taking the shortcuts.

The ‘Thoughtful’ User

Thoughtful Users are assumed to think about what they are doing, and why, analytically: open to being persuaded through reasoned arguments [6] about why some behaviours are better than others, maybe motivating them to change their attitudes about a subject as a precursor to changing their behaviour mindfully. If you think of your users as being Thoughtful, you will probably be presenting them with information and feedback which allows them to explore the implications of what they’re doing, and understand the world around them better.

Most of us like to model ourselves as Thoughtful Users, even though we know we don’t always fit the model. It’s probably the same with most people: so knowing when it’s appropriate to assume that users are being mindful of their behaviour, and when they’re not, will be important for the ’success’ of a design.

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Of course there are many other ways you can model the user. But these seem like they might be useful ways of thinking, and of classifying the actual design techniques for influencing behaviour [PDF] according to what assumptions they make about users. I will try to test their validity / usefulness as part of my trials.

See the next post for how you can get involved with that…

Note:
From an academic psychology (or behavioural economics) point of view, the boundaries between these models of the user are maybe too blurry. Shortcut User is assumed to be pretty much like a System 1 thinker, while Thoughtful User is System 2. Straying inadvisedly into areas I know little about, Pinball User may well be assumed to be a user only using the R-complex, though I’m not sure this fits especially well. But if the distinctions are useful to designers, in the context of actually developing products and services, that (to be honest) is what matters from my point of view.

To develop the three models described above, I was inspired by this Interactions article (also here) by Hugh Dubberly, Paul Pangaro and Usman Haque, which draws on some of Kenneth Boulding’s General Systems Theory [PDF] to characterise a range of ordered system ‘combinations’ in which the user can be a part. The Pinball User corresponds pretty much to the ‘Reacting’ system; the Thoughtful User is a ‘Learning’ system; the Shortcut User is perhaps a special case of a ‘Regulating’ system (self-regulating negative feedback to damp variation, to minimise effort, boundedly rational).

I haven’t yet explored applying Leonard Talmy’s Force Dynamics, as suggested by Simon Winter to these aspects of modelling the user / interaction. I will do, in due course.

[1] Perhaps analogous to Lawrence Lessig’s ‘pathetic dot’
[2] I’m grateful to Sebastian Deterding for the explicit concept of user-as-pinball
[3] Heuristics & biases (Kahneman & Tversky)
[4] Satisficing (Simon)
[5] Peripheral route persuasion (Petty & Cacioppo)
[6] Central route persuasion (Petty & Cacioppo)

Pinball photo by ktpupp on Flickr, CC-licensed. Shortcut photo (desire path) by Alan Stanton on Flickr, CC-licensed. Thoughtful photo by Esther Dyson on Flickr, CC-licensed.

Q12 Do you agree with the Government’s position that a standalone display should be provided with a smart meter?

Free-standing displays (presumably wirelessly connected to the meter itself, as proposed in [7, p.16]) could be an effective way of bringing the meter ‘out of the cupboard‘, making an information flow visible which was previously hidden. As Donella Meadows put it when comparing electricity meter placements [1, pp. 14-15] this provides a new feedback loop, “delivering information to a place where it wasn’t going before” and thus allowing consumers to modify their behaviour in response.

“An accessible display device connected to the meter” [2, p.8] or “series of modules connected to a meter” [3, p. 28] would be preferable to something where an extra step has to be taken for a consumer to access the data, such as only having a TV or internet interface for the information, but as noted [3, p.31] “flexibility for information to be provided through other formats (for example through the internet, TV) in addition to the provision of a display” via an open API, publicly documented, would be the ideal situation. Interesting ‘energy dashboard’ TV interfaces have been trialled in projects such as live|work’s Low Carb Lane [6], and offer the potential for interactivity and extra information display supported by the digital television platform, but it would be a mistake to rely on this solely (even if simply because it will necessarily interfere with the primary reason that people have a television).

The question suggests that a single display unit would be provided with each meter, presumably with the householder free to position it wherever he or she likes (perhaps a unit with interchangeable provision for a support stand, a magnet to allow positioning on a refrigerator, a sucker for use on a window and hook to allow hanging up on the wall would be ideal – the location of the display could be important, as noted [4, p. 49]) but the ability to connect multiple display units would certainly afford more possibilities for consumer engagement with the information displayed as well as reducing the likelihood of a display unit being mislaid. For example, in shared accommodation where there are multiple residents all of whom are expected to contribute to a communal electricity bill, each person being aware of others’ energy use (as in, for example, the Watt Watchers project [5]) could have an important social proof effect among peers.

Open APIs and data standards would permit ranges of aftermarket energy displays to be produced, ranging from simple readouts (or even pager-style alerters) to devices and kits which could allow consumers to perform more complex analysis of their data (along the lines of the user-led innovative uses of the Current Cost, for example [8]) – another route to having multiple displays per household.

Q13 Do you have any comments on what sort of data should be provided to consumers as a minimum to help them best act to save energy (e.g. information on energy use, money, CO2 etc)?

Low targets?
This really is the central question of the whole project, since the fundamental assumption throughout is that provision of this information will “empower consumers” and thereby “change our energy habits” [3, p.13]. It is assumed that feedback, including real-time feedback, on electricity usage will lead to behaviour change: “Smart metering will provide consumers with tools with which to manage their energy consumption, enabling them to take greater personal responsibility for the environmental impacts of their own behaviour” [4, p.46]; “Access to the consumption data in real time provided by smart meters will provide consumers with the information they need to take informed action to save energy and carbon” [3, p.31].

Nevertheless, with “the predicted energy saving to consumers… as low as 2.8%” [4, p.18], the actual effects of the information on consumer behaviour are clearly not considered likely to be especially significant (this figure is more conservative than the 5-15% range identified by Sarah Darby [9]). It would, of course, be interesting to know whether certain types of data or feedback, if provided in the context of a well-designed interface could improve on this rather low figure: given the scale of the proposed roll-out of these meters (every household in the country) and the cost commitment involved, it would seem incredibly short-sighted not to take this opportunity to design and test better feedback displays which can, perhaps, improve significantly on the 2.8% figure.

(Part of the problem with a suggested figure as low as 2.8% is that it makes it much more difficult to defend the claim that the meters will offer consumers “important benefits” [3, p.27]. The benefits to electricity suppliers are clearer, but ‘selling’ the idea of smart meters to the public is, I would suggest, going to be difficult when the supposed benefits are so meagre.)

If we consider the use context of the smart meter from a consumer’s point of view, it should allow us to identify better which aspects are most important. What is a consumer going to do with the information received? How does the feedback loop actually occur in practice? How would this differ with different kinds of information?

Levels of display
Even aside from the actual ‘units’ debate (money / energy / CO2), there are many possible types and combinations of information that the display could show consumers, but for the purposes of this discussion, I’ll divide them into three levels:

(1) Simple feedback on current (& cumulative) energy use / cost (self-monitoring)
(2) Social / normative feedback on others’ energy use and costs (social proof + self-monitoring)
(3) Feedforward, giving information about the future impacts of behavioural decisions (simulation & feedforward + kairos + self-monitoring)

These are by no means mutually exclusive and I’d assume that any system providing (3) would also include (1), for example.

Nevertheless, it is likely that (1) would be the cheapest, lowest-common-denominator system to roll out to millions of homes, without (2) or (3) included – so if thought isn’t given to these other levels, it may be that (1) is all consumers get.

I’ve done mock-ups of the sort of thing each level might display (of course these are just ideas, and I’m aware that a) I’m not especially skilled in interface design, despite being very interested in it; and b) there’s no real research behind these) in order to have something to visualise / refer to when discussing them.

(1) Simple feedback on current (& cumulative) energy use and cost

I’ve tried to express some of the concerns I have over a very simple, cheap implementation of (1) in a scenario, which I’m not claiming to be representative of what will actually happen – but the narrative is intended to address some of the ways this kind of display might be useful (or not) in practice:

Jenny has just had a ‘smart meter’ installed by someone working on behalf of her electricity supplier. It comes with a little display unit that looks a bit like a digital alarm clock. There’s a button to change the display mode to ‘cumulative’ or ‘historic’ but at present it’s set on ‘realtime’: that’s the default setting.

Jenny attaches it to her kitchen fridge with the magnet on the back. It’s 4pm and it’s showing a fairly steady value of 0.5 kW, 6 pence per hour. She opens the fridge to check how much milk is left, and when she closes the door again Jenny notices the figure’s gone up to 0.7 kW but drops again soon after the door’s closed, first to 0.6 kW but then back down to 0.5 kW again after a few minutes. Then her two teenage children, Kim and Laurie arrive home from school – they switch on the TV in the living room and the meter reading shoots up to 0.8 kW, then 1.1 kW suddenly. What’s happened? Jenny’s not sure why it’s changed so much. She walks into the living room and Kim tells her that Laurie’s gone upstairs to play on his computer. So it must be the computer, monitor, etc.

Two hours later, while the family’s sitting down eating dinner (with the TV on in the background), Jenny glances across at the display and sees that it’s still reading 1.1 kW, 13 pence per hour.

“Is your PC still switched on, Laurie?” she asks.
“Yeah, Mum,” he replies
“You should switch it off when you’re not using it; it’s costing us money.”
“But it needs to be on, it’s downloading stuff.”

Jenny’s not quite sure how to respond. She can’t argue with Laurie: he knows a lot more than her about computers. The phone rings and Kim puts the TV on standby to reduce the noise while talking. Jenny notices the display reading has gone down slightly to 1.0 kW, 12 pence per hour. She walks over and switches the TV off fully, and sees the reading go down to 0.8 kW.

Later, as it gets dark and lights are switched on all over the house, along with the TV being switched on again, and Kim using a hairdryer after washing her hair, with her stereo on in the background and Laurie back at his computer, Jenny notices (as she loads the tumble dryer) that the display has shot up to 6.5 kW, 78 pence per hour. When the tumble dryer’s switched on, that goes up even further to 8.5 kW, £1.02 per hour. The sight of the £ sign shocks her slightly – can they really be using that much electricity? It seems like the kids are costing her even more than she thought!

But what can she really do about it? She switches off the TV and sees the display go down to 8.2 kW, 98 pence per hour, but the difference seems so slight that she switches it on again – it seems worth 4 pence per hour. She decides to have a cup of tea and boils the kettle that she filled earlier in the day. The display shoots up to 10.5 kW, £1.26 pence per hour. Jenny glances at the display with a pained expression, and settles down to watch TV with her tea. She needs a rest: paying attention to the display has stressed her out quite a lot, and she doesn’t seem to have been able to do anything obvious to save money.

Six months later, although Jenny’s replaced some light bulbs with compact fluorescents that were being given away at the supermarket, and Laurie’s new laptop has replaced the desktop PC, a new plasma TV has more than cancelled out the reductions. The display is still there on the fridge door, but when the batteries powering the display run out, and it goes blank, no-one notices.

The main point I’m trying to get across there is that with a very simple display, the possible feedback loop is very weak. It relies on the consumer experimenting with switching items on and off and seeing the effect it has on the readings, which – while it will initially have a certain degree of investigatory, exploratory interest – may well quickly pall when everyday life gets in the way. Now, without the kind of evidence that’s likely to come out of research programmes such as the CHARM project [10], it’s not possible to say whether levels (2) or (3) would fare any better, but giving a display the ability to provide more detailed levels of information – particularly if it can be updated remotely – massively increases the potential for effective use of the display to help consumers decide what to do, or even to think about what they’re doing in the first place, over the longer term.

(2) Social / normative feedback on others’ energy use and costs

A level (2) display would (in a much less cluttered form than what I’ve drawn above!) combine information about ‘what we’re doing’ (self-monitoring) with a reference, a norm – what other people are doing (social proof), either people in the same neighbourhood (to facilitate community discussion), or a more representative comparison such as ‘other families like us’, e.g. people with the same number of children of roughly the same age, living in similar size houses. There are studies going back to the 1970s (e.g. [11, 12]) showing dramatic (2 × or 3 ×) differences in the amount of energy used by similar families living in identical homes, suggesting that the behavioural component of energy use can be significant. A display allowing this kind of comparison could help make consumers aware of their own standing in this context.

However, as Wesley Schultz et al [13] showed in California, this kind of feedback can lead to a ‘boomerang effect’, where people who are told they’re doing better than average then start to care less about their energy use, leading to it increasing back up to the norm. It’s important, then, that any display using this kind of feedback treats a norm as a goal to achieve only on the way down. Schultz et al went on to show that by using a smiley face to demonstrate social approval of what people had done – affective engagement – the boomerang effect can be mitigated.

(3) Feedforward, giving information about the future impacts of behavioural decisions

A level (3) display would give consumers feedforward [14] – effectively, simulation of what the impact of their behaviour would be (switching on this device now rather than at a time when there’s a lower tariff – Economy 7 or a successor), and tips about how to use things more efficiently at the right moment (kairos), and in the right kind of environment, for them to be useful. Whereas ‘Tips of the Day’ in software frequently annoy users [15] because they get in the way of a user’s immediate task, with something relatively passive such as a smart meter display, this could be a more useful application for them. The networked capability of the smart meter means that the display could be updated frequently with new sets of tips, perhaps based on seasonal or weather conditions (”It’s going to be especially cold tonight – make sure you close all the curtains before you go to bed, and save 20p on heating”) or even special tariff changes for particular periods of high demand (”Everyone’s going to be putting the kettle on during the next ad break in [major event on TV]. If you’re making tea, do it now instead of in 10 minutes; time, and get a 50p discount on your next bill”).

Disaggregated data: identifying devices
This level (3) display doesn’t require any ability to know what devices a consumer has, or to be able to disaggregate electricity use by device. It can make general suggestions that, if not relevant, a consumer can ignore.

But what about actually disaggregating the data for particular devices? Surely this must be an aim for a really ’smart’ meter display. Since [4, p.52] notes – in the context of discussing privacy – that “information from smart meters could… make it possible…to determine…to a degree, the types of technology that were being used in a property,” this information should clearly be offered to consumers themselves, if the electricity suppliers are going to do the analysis (I’ve done a bit of a possible mockup, using a more analogue dashboard style).

Whether the data are processed in the meter itself, or upstream at the supplier and then sent back down to individual displays, and whether the devices are identified from some kind of signature in their energy use patterns, or individual tags or extra plugs of some kind, are interesting technology questions, but from a consumer’s point of view (so long as privacy is respected), the mechanism perhaps doesn’t matter so much. Having the ability to see what device is using what amount of electricity, from a single display, would be very useful indeed. It removes the guesswork element.

Now, Sentec’s Coracle technology [16] is presumably ready for mainstream use, with an agreement signed with Onzo [17], and ISE’s signal-processing algorithms can identify devices down to the level of makes and models [18], so it’s quite likely that this kind of technology will be available for smart meters for consumers fairly soon. But the question is whether it will be something that all customers get – i.e. as a recommendation of the outcome of the DECC consultation – or an expensive ‘upgrade’. The fact that the consultation doesn’t mention disaggregation very much worries me slightly.

If disaggregated data by device were to be available for the mass-distributed displays, clearly this would significantly affect the interface design used: combining this with, say a level (2) type social proof display could – even if via a website rather than on the display itself – let a consumer compare how efficient particular models of electrical goods are in use, by using the information from other customers of the supplier.

In summary, for Q13 – and I’m aware I haven’t addressed the “energy use, money, CO2 etc” aspect directly – there are people much better qualified to do that – I feel that the more ability any display has to provide information of different kinds to consumers, the more opportunities there will be to do interesting and useful things with that information (and the data format and API must be open enough to allow this). In the absence of more definitive information about what kind of feedback has the most behaviour-influencing effect on what kind of consumer, in what context, and so on, it’s important that the display be as adaptable as possible.

Q14 Do you have comments regarding the accessibility of meters/display units for particular consumers (e.g. vulnerable consumers such as the disabled, partially sighted/blind)?

The inclusive design aspects of the meters and displays could be addressed through an exclusion audit, applying something such as the University of Cambridge’s Exclusion Calculator [19] to any proposed designs. Many solutions which would benefit particular consumers with special needs would also potentially be useful for the population as a whole – e.g. a buzzer or alarm signalling that a device has been left on overnight which isn’t normally, or (with disaggregation capability) notifying the consumer that, say, the fridge has been left open, would be pretty useful for everyone, not just the visually impaired or people with poor memory.

It seems clear that having open data formats and interfaces for any device will allow a wider range of things to be done with the data, many of which could be very useful for vulnerable users. Still, fundamental physical design questions about the device – how long the batteries last for, how easy they are to replace for someone with poor eyesight or arthritis, how heavy the unit is, whether it will break if dropped from hand height – will all have an impact on its overall accessibility (and usefulness).

Thinking of ‘particular consumers’ more generally, as the question asks, suggests a few other issues which need to be addressed:

- A website-only version of the display data (as suggested at points in the consultation document) would exclude a lot of consumers who are without internet access, without computer understanding, with only dial-up (metered) internet, or simply not motivated or interested enough to check – i.e., it would be significantly exclusionary.

- Time-of-Use (ToU) pricing will rely heavily on consumers actually understanding it, and what the implications are, and changing their behaviour in accordance. Simply charging consumers more automatically, without them having good enough feedback to understand what’s going on, only benefits electricity suppliers. If demand- or ToU-related pricing is introduced – “the potential for customer confusion… as a result of the greater range of energy tariffs and energy related information” [4, p. 49] is going to be significant. The design of the interface, and how the pricing structure works, is going to be extremely important here, and even so may still exclude a great many consumers who do not or cannot understand the structure.

- The ability to disable supply remotely [4, p. 12, p.20] will no doubt provoke significant reaction from consumers, quite apart from the terrible impact it will have on the most vulnerable consumers (the elderly, the very poor, and people for whom a reliable electricity supply is essential for medical reasons), regardless of whether they are at fault (i.e. non-payment) or not. There WILL inevitably be errors: there is no reason to suppose that they will not occur. Imagine the newspaper headlines when an elderly person dies from hypothermia. Disconnection may only occur in “certain well-defined circumstances” [3, p. 28] but these will need to be made very explicit.

- “Smart metering potentially offers scope for remote intervention… [which] could involve direct supplier or distribution company interface with equipment, such as refrigerators, within a property, overriding the control of the householder” [4, p. 52] – this simply offers further fuel for consumer distrust of the meter programme (rightly so, to be honest). As Darby [9] notes, “the prospect of ceding control over consumption does not appeal to all customers”. Again, this remote intervention, however well-regulated it might be supposed to be if actually implemented, will not be free from error. “Creating consumer confidence and awareness will be a key element of successfully delivering smart meters” [4, p.50] does not sit well with the realities of installing this kind of channel for remote disconnection or manipulation in consumers’ homes, and attempting to bury these issues by presenting the whole thing as entirely beneficial for consumers will be seen through by intelligent people very quickly indeed.

- Many consumers will simply not trust such new meters with any extra remote disconnection ability – it completely removes the human, the compassion, the potential to reason with a real person. Especially if the predicted energy saving to consumers is as low as 2.8% [4, p.18], many consumers will (perhaps rightly) conclude that the smart meter is being installed primarily for the benefit of the electricity company, and simply refuse to allow the contractors into their homes. Whether this will lead to a niche for a supplier which does not mandate installation of a meter – and whether this would be legal – are interesting questions.

Dan Lockton, Researcher, Design for Sustainable Behaviour
Cleaner Electronics Research Group, Brunel Design, Brunel University, London, June 2009

[1] Meadows, D. Leverage Points: Places to Intervene in a System. Sustainability Institute, 1999.

[2] DECC. Impact Assessment of smart / advanced meters roll out to small and medium businesses, May 2009.

[3] DECC. A Consultation on Smart Metering for Electricity and Gas, May 2009.

[4] DECC. Impact Assessment of a GB-wide smart meter roll out for the domestic sector, May 2009.

[5] Fischer, J. and Kestner, J. ‘Watt Watchers’, 2008.

[6] DOTT / live|work studio. ‘Low Carb Lane’, 2007.

[7] BERR. Impact Assessment of Smart Metering Roll Out for Domestic Consumers and for Small Businesses, April 2008.

[8] O’Leary, N. and Reynolds, R. ‘Current Cost: Observations and Thoughts from Interested Hackers’. Presentation at OpenTech 2008, London. July 2008.

[9] Darby S. The effectiveness of feedback on energy consumption. A review for DEFRA of the literature on metering, billing and direct displays. Environmental Change Institute, University of Oxford. April 2006.

[10] Kingston University, CHARM Project. 2009

[11] Socolow, R.H. Saving Energy in the Home: Princeton’s Experiments at Twin Rivers. Ballinger Publishing, Cambridge MA, 1978

[12] Winett, R.A., Neale, M.S., Williams, K.R., Yokley, J. and Kauder, H., 1979 ‘The effects of individual and group feedback on residential electricity consumption: three replications’. Journal of Environmental Systems, 8, p. 217-233.

[13] Schultz, P.W., Nolan, J.M., Cialdini, R.B., Goldstein, N.J. and Griskevicius, V., 2007.
‘The Constructive, Destructive and Reconstructive Power of Social Norms’. Psychological Science, 18 (5), p. 429-434.

[14] Djajadiningrat, T., Overbeeke, K. and Wensveen, S., 2002. ‘But how, Donald, tell us how?: on the creation of meaning in interaction design through feedforward and inherent feedback’. Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques. ACM Press, New York, p. 285-291.

[15] Business of Software discussion community (part of ‘Joel on Software’), ‘”Tip of the Day” on startup, value to the customer’, August 2006

[16] Sentec. ‘Coracle: a new level of information on energy consumption’, undated.

[17] Sentec. ‘Sentec and Onzo agree UK deal for home energy displays’, 28th April 2008

[18] ISE Intelligent Sustainable Energy, ‘Technology’, undated

[19] Engineering Design Centre, University of Cambridge. Inclusive Design Toolkit: Exclusion Calculator, 2007-8

Now it’s true that there are some great, design-led companies and products appearing such as Onzo, Wattson and GEO, and projects such as AMEE – all of whose teams are, I’m sure, preparing detailed responses to the consultation. But if, as independent designers – interaction designers, information designers, product designers, service designers – we can have some input to the consultation, we should make use of this opportunity. They don’t come along too often.

Some of the contributions so far to the Design & Behaviour group discussion from James Box, Gregor Wolbring and Simon Thompson have mentioned the need for a public API – James references Adam Greenfield here – which can allow users to do interesting things with their data, as well as supporting the needs of older and/or disabled users who may benefit from the information being displayed in different forms.

There are three main consultation questions which have an explicit ‘design’ component (though there are others in the document about which I think a few blog readers – as well as myself – may have some opinions):

Q12 Do you agree with the Government’s position that a standalone display should be provided with a smart meter?

Q14 Do you have comments regarding the accessibility of meters/display units for particular consumers (e.g. vulnerable consumers such as the disabled, partially sighted/blind)?

If you’re interested, please do join Design & Behaviour and contribute your ideas and responses. If you have experience of using smart meters or energy displays elsewhere in the world, or have a great idea for how a new system could work, do get involved.

It builds on a trend evident in frog’s own work in this field, most notably the Project Masiluleke initiative (which seems to have been incredibly successful in behaviour change terms), as well as a theme Robert’s identified talking to a range of practitioners as well as young designers: “We’re experiencing a sea change in the way designers engage with the world. Instead of aspiring to influence user behaviour from a distance, we increasingly want the products we design to have more immediate impact through direct social engagement.”

The recognition of this nascent trend echoes some of the themes of transformation design – a manifesto developed by Hilary Cottam’s former RED team at the Design Council – and also fits well into what’s increasingly called social design, or socially conscious design – a broad, diverse movement of designers from many disciplines, from service design to architecture, who are applying their expertise to social problems from healthcare to environment to education to communication. With the mantra that ‘we cannot not change the world’, groups such as Design21 and Project H Design, along with alert chroniclers such as Kate Andrews, are inspiring designers to see the potential that there is for ‘impact through direct social engagement’: taking on the mantle of Victor Papanek and Buckminster Fuller, motivated by the realisation that design can be more than ‘the high pitched scream of consumer selling‘, more than simply reactive. Nevertheless, Robert’s focus on influencing people’s behaviour (much as I’ve tried to make clear with my own work on Design with Intent over the last few years), is an explicit emerging theme in itself, and catching the interest of forward-looking organisations such as the RSA.

User centred design, constraint and reality

One of the issues Robert discusses is a question I’ve put to the audience in a number of presentations recently – fundamentally, is it still ‘User-Centred Design’ when the designer’s aim is to change users’ behaviour rather than accommodating it? As he puts it, “we influence behaviour and social practice from a distance through the products and services that we create based on our research and understanding of behaviour. We place users at the centre and develop products and services to support them. With UCD, designers are encouraged not to impose their own values on the experience.” Thus, “committing to direct behaviour design [my italics] would mean stepping outside the traditional frame of user-centred design (UCD), which provides the basis of most professional design today.”

Now, ‘direct behaviour design’ as a concept is redolent of determinism in architecture, or the more extreme end of behaviourism, where people (users / inhabitants / subjects) are seen as, effectively, components in a designed system which will respond to their environment / products / conditioning in a known, predictable way, and can thus be directed to behave in particular ways by changing the design of the system. It privileges the architect, the designer, the planner, the hidden persuader, the controller as a kind of director of behaviour, standing on the top floor observing what he’s wrought down below.

I’ll acknowledge that, in a less extreme form, this is often the intent (if not necessarily the result) behind much design for behaviour change (hence my definition for Design with Intent: ‘design that’s intended to influence, or result in, certain user behaviour’). But in practice, people don’t, most of the time, behave as predictably as this. Our behaviour – as Kurt Lewin, James Gibson, Albert Bandura, Don Norman, Herbert Simon, Daniel Kahneman, Amos Tversky and a whole line of psychologists from different fields have made clear – is a (vector) function of our physical environment (and how we perceive and understand it), our social environment (and how we perceive and understand it) and our cognitive decision processes about what to do in response to our perceptions and understanding, working within a bounded rationality that (most of the time) works pretty well. If we perceive that a design is trying to get us to behave in a way we don’t want, we display reactance to it. This is going to happen when you constrain people against pursuing a goal: even the concept of ‘direct behaviour design’ itself is likely to provoke some reactance from you, the reader. Go on: you felt slightly irritated by it, didn’t you?*

In some fields, of course, design’s aim really is to constrain and direct behaviour absolutely – e.g. “safety critical systems, like air traffic control or medical monitors, where the cost of failure [due to user behaviour] is never acceptable” (from Cairns & Cox, p.16). But decades of ergonomics, human factors and HCI research suggests that errorproofing works best when it helps the user achieve the goal he or she already has in mind. It constrains our behaviour, but it also makes it easier to avoid errors we don’t want. We don’t mind not being able to run the microwave oven with the door open (even though we resented seatbelt interlocks). We don’t mind being only being able to put a SIM card in one way round. The design constraint doesn’t conflict with our goal: it helps us achieve it. (It would be interesting to know of cases in Japanese vs. Western manufacturing industry where employees resented the introduction of poka-yoke measures – were there any? What were the specific measures that irritated?)

Returning to UCD, then, I would argue that in cases where design with intent, or design for behaviour change, is aligned with what the user wants to achieve, it’s very much still user-centred design, whether enabling, motivating or constraining. It’s the best form of user-centred design, supporting a user’s goals while transforming his or her behaviour. Some of the most insightful current work on influencing user behaviour, from people such as Ed Elias at Bath and Tang Tang at Loughborough [PPT], starts with achieving a deeper understanding of user behaviour with existing products and systems, to identify better how to improve the design; it seems as though companies such as Onzo are also taking this approach.

Is design ever neutral?

Robert also makes the point that “every [design] decision we make exerts an influence of some kind, whether intended or not”. This argument parallels one of the defences made by Richard Thaler and Cass Sunstein to criticism of their libertarian paternalism concept: however you design a system, whatever choices you decide to give users, you inevitably frame understanding and influence behaviour. Even not making a design decision at all influences behaviour.

If you put chairs round a table, people will sit down. You might see it as supporting your users’ goals – they want to be able to sit down – but by providing the chairs, you’ve influenced their behaviour. (Compare Seth Godin’s ‘no chair meetings’.) If you constrain people to three options, they will pick one of the three. If you give them 500 options, they won’t find it easy to choose well. If you give them no options, they can’t make a choice, but might not realise that they’ve been denied it. And so on. (This is sometimes referred to as ‘choice editing’, a phrase which provokes substantial reactance!) If you design a pedestrian crossing to guide pedestrians to make eye contact with drivers, you’ve privileged drivers over pedestrians and reinforced the hegemony of the motor car. If you don’t, you’ve shown contempt for pedestrians’ needs. Richard Buchanan and Johan Redström have both also dealt with this aspect of ‘design as rhetoric’, while Kristina Niedderer’s ‘performative objects’ intended to increase user mindfulness of the interactions occurring.

Thaler and Sunstein’s argument (heavily paraphrased, and transposed from economics to design) is that as every decision we make about designing a system will necessarily influence user behaviour, we might as well try and put some thought into influencing the behaviour that’s going to be best for users (and society)**. And that again, to me, seems to come within the scope of user-centred design. It’s certainly putting the user – and his or her behaviour – at the centre of the design process. But then to a large extent – as Robert’s argued before – all (interaction) design is about behaviour. And perhaps all design is really interaction design (or ought to be considered as such during at least part of the process).

Persuasion, catalyst and performance design

Robert identifies three broad themes in using design to influence behaviour – persuasion design, catalyst design and performance design. ‘Persuasion design’ correlates very closely with the work on persuasive technology and persuasive design which has grown over the past decade, from B.J. Fogg’s Persuasive Technology Lab at Stanford to a world-wide collaboration of researchers and practitioners – including designers and psychologists – meeting at the Persuasive conferences (2010’s will be in Copenhagen), of which I’m proud to be a very small part. Robert firmly includes behavioural economics and choice architecture in his description of Persuasion Design, which is something that (so far at least) has not received an explicit treatment in the persuasive technology literature, although individual cognitive biases and heuristics have of course been invoked. I think I’d respectfully argue that choice architecture as discussed in an economic context doesn’t really care too much about persuasion itself: it aims to influence behaviours, but doesn’t explicitly see changing attitudes as part of that, which is very much part of persuasion.

‘Catalyst design’ is a great term – I’m not sure (other than as the name of lots and lots of small consultancies) whether it has any precedent in the design literature or whether Robert coined it himself (something Fergus Bisset asked me the other day on reading the article). On first sight, catalyst design sounds as though it might be identical with Buckminster Fuller’s trimtab metaphor – a small component added to a system which initiates or enables a much larger change to happen more easily (what I’ve tried to think of as ‘enabling behaviour‘). However, Robert broadens the discussion beyond this idea to talk about participatory and open design with users (such as Jan Chipchase’s work – or, if we’re looking further back, Christopher Alexander and his team’s groundbreaking Oregon Experiment). In this sense, the designer is the catalyst, facilitating innovation and behaviour change. User-led innovation is a massive, and growing, field, with examples of both completely ground-up development (with no ‘designer as catalyst’ involved) and programmes where a designer or external expert can, through engaging with people who use and work with a system, really help transform it (Clare Brass’s SEED Foundation’s HiRise project comes to mind here). But it isn’t often spoken about explicitly in terms of behaviour change, so it’s interesting to see Robert present it in this context.

Finally, ‘performance design’, as Robert explains it, involves designers performing in some way, becoming immersed in the lives of the people for whom they are designing. From a behaviour change perspective, empathising with users’ mental models, understanding what motivates users during a decision-making process, and why certain choices are made (or not made), must make it easier to identify where and how to intervene to influence behaviour successfully.

Implications for designers working on behaviour change

It’s fantastic to see high-profile, influential design companies such as frog explicitly recognising the opportunities and possibilities that designers have to influence user behaviour for social benefit. The more this is out in the open as a defined trend, a way of thinking, the more examples we’ll have of real-life thinking along these lines, embodied in a whole wave of products and services which (potentially) help users, and help society solve problems with a significant behavioural component. (And, more to the point, give us a degree of evidence about which techniques actually work, in which contexts, with which users, and why – there are some great examples around at present, both concepts and real products – e.g. as collated here by Debra Lilley – but as yet we just don’t have a great body of evidence to base design decisions on.) It will also allow us, as users, to become more familiar with the tactics used to influence our behaviour, so we can actively understand the thinking that’s gone into the systems around us, and choose to reject or opt out of things which aren’t working in our best interests.

The ‘behavioural layer’ (credit to James Box of Clearleft for this term) is something designers need to get to grips with – even knowing where to start when you’re faced with a design problem involving influencing behaviour is something we don’t currently have a very good idea about. With my Design with Intent toolkit work, I’m trying to help this bit of the process a bit, alongside a lot of people interested, on many levels, in how design influences behaviour. It will be interesting over the next few years to see how frog and other consultancies develop expertise and competence in this field, how they choose to recruit the kind of people who are already becoming experts in it – and how they sell that expertise to clients and governments.

Update: Robert responds – The ‘Ethnography Defense’

Dan Lockton, Design with Intent / Brunel University, June 2009

*TU Eindhoven’s Maaike Roubroeks used this technique to great effect in her Persuasive 2009 presentation.
**The debate comes over who decides – and how – what’s ‘best’ for users and for society. Governments don’t necessarily have a good track record on this; neither do a lot of companies.

Then on Thursday 28th, I’m honoured to be talking as part of a symposium in Loughborough University’s Radar Arts Programme’s ‘Architectures of Control‘ themed events exploring how our lives are impacted by social and environmental controls.

The symposium is interspersed with the performance of Mark Titchner’s ‘Debating Society and Run’, which sounds intriguing. In the symposium I’ll be talking alongside Professor David Canter, who seems to have had an incredible career ranging from environmental to offender profiling (inspiration for Cracker, etc) and Alexa Hepburn, senior lecturer in Social Psychology at Loughborough. Again, I hope my presentation does justice to the event and other participants! Thanks to Nick Slater for inviting me.

The week after (4th June) I’ll be giving a presentation at UFI in Sheffield, best known for its Learndirect courses. I’m hoping to be able to run a bit of a very rapid idea-generation workshop as part of this talk, something of an ultra-quick trial of the DwI toolkit…

Who really needs a “You Are Here” marker when other visitors’ fingers have done the work for you?

(Above, in Florence; below, in San Francisco)

Use-marks, like desire paths, are a kind of emergent behaviour record of previous users’ perceptions (and perceived affordances), intentions, behaviours and preferences. (As Google’s search history is a database of intentions.)

Indeed, while we’d probably expect the “You Are Here” spot to be worn (so it’s not telling us anything especially new) can we perhaps think of use-marks / desire paths as being a physical equivalent of revealed preferences? (Carl Myhill almost makes this point in this great paper [PDF].)

And (I have to ask), to what extent does the presence of wear and use-marks by previous users influence the use decisions and behaviour of new users (social proof)? If you see a well-trodden path, do you follow it? Do you pick a dog-eared library book to read because it is presumably more interesting than the ones that have never been read? What about where you’re confused by a new interface on, say, a ticket machine? Can you pick it up more quickly by (consciously or otherwise) observing how others have worn or deformed it through prior use?

Can we design public products / systems / services which intentionally wear to give cues to future users? How (other than “Most read stories today”) can we apply this digitally?

In a lot of the debate and discussion about energy, future electricity generation and metering, improved efficiency and influencing consumer behaviour – at least from an engineering perspective – the term “demand” is used, in conjunction with “supply”, to represent the energy required to be supplied to consumers, much as in conventional “supply and demand” economics.

Now, I’m sure others have investigated this and characterised it economically much better than I can, but it seems to me that demand for energy (and sometimes water) is significantly different to, say, demand for most consumer products in that, for the most part, consumers only “demand” it indirectly. It is the products and systems around us which draw the current: they are important actors and have the agency, in a sense (at least unless we really understand the impacts of how they operate).

While with, say, a car’s fuel consumption, we experience the car’s demand for fuel, and pay for it, directly in proportion to our demand for travel, with most household electricity use, we not only generally wait a month or more before having to confront the “demand” (via the bill), but separating the background demand (such as a refrigerator’s continuous energy use simply to operate) from conscious demand (such as our decision to use a fan heater all day) is very difficult for us to do as consumers: from a very simple consumer perspective (ignoring things like reactive power flow), electricity is interchangeable, and the feedback we get on our behaviour is only very weakly linked to the specifics of that behaviour.

Basically, then, a lot of “demand” is not conscious demand at all. Most consumers don’t make an in-the-moment decision to use more electricity if it gets cheaper (though it may happen over time, e.g. if someone decides to get electric heating because oil heating has become more expensive) or vice versa. The demand is a function of the products and systems around us, our habits, lifestyle and behaviours but it is very difficult for us to see this, and make decisions which have an impact on this. If there are major changes, such as a massively changed price, then real conscious demand changes may happen (so a kind of stepped curve rather than anything smooth) but this is surely not what happens in everyday life. At least at present.

Maybe, then, part of what design could offer here is to help translate this unconscious, product-led, delayed payment demand into a visible, tangible, immediate demand which makes us consider it like any other everyday buying / consumption choice. Real-time self-monitoring feedback from clever metering technology (e.g. Onzo or Wattson) could go a long way here, but what about feedforward? Can we go as far as on-off switches with price labels on them? (Digital, updated, real-time, of course.) Would it make us more price-sensitive to energy costs? Would that influence our behaviour?