Archive for the ‘Persuasive Technology’ Category

Impure Altruism

Monday, November 2nd, 2009

I met with University of Washington Assistant Professor Hendrik Wolff last week to discuss the economics of eco-feedback interfaces. Hendrick has done research on environmental economics and management but has focused largely at the macro scale rather than the micro scale, which is where most of the eco-feedback work fits. One of the focuses of our conversation was the amount of resources that are often necessary to run experiments out in the field rather than in the laboratory. Hendrik mentioned John List, who is a professor at the University of Chicago known for adapting methods that are well established in medical science to the social sciences, mainly, real-world experiments relying on randomized trials.

The New York Times has a really interesting article on John List, which includes a personal biography and some highlights from his more well-known research studies, one of which is on philanthropy–in particular, why do people give? From the article:

Philanthropy in America

For a long time, philanthropy was mostly ignored by social scientists. It’s not an especially large part of the economy, and most charities operate on a shoestring, without the resources to finance research projects. But this is starting to change. Americans gave $295 billion to charity in 2006, equal to 2.2 percent of the country’s gross domestic product, up from about 1.8 percent from the mid-’70s to the mid-’90s, according to the Center on Philanthropy at Indiana University. Most philanthropy still comes in the form of small gifts, but there is also a growing group of donors, like Bill and Melinda Gates, who are interested in bringing some of the quantitative rigor of big business to philanthropy

Charities as Laboratories to Study Human Behavior

Academics, for their part, have come to realize that charities provide an excellent laboratory for studying human behavior, in part because so many of them are desperate for the kind of free-of-charge consulting Karlan was offering. When charities are designing their donor appeals, they often go by nothing more than a few rules of thumb, some of which may be profoundly insightful and others a good deal less so. “I think some fund-raisers have developed terrific intuitions, passed on through the fraternity of fund-raisers,” says Paul Brest, president of the William and Flora Hewlett Foundation in Menlo Park, Calif., which often works with charities. “But a lot of the intuitions don’t work. Look at how much junk mail you get.” Matching gifts were another good example. People figured that they worked, because — well, how could they not? They seem so sensible.

So, John List and Dean Karlan, an economics professor at Yale, put together a field experiment to uncover how well “matching gifts” work in social programs. Matching gift programs work by asking for a donation and touting that some other organization (or person) will match that gift thereby making your original donation much more significant. Most matches are two-to-one (e.g., you donate $100, another organization donates $100–doubling the size of your contribution) but some go up to a four-to-one match.

Earlier Research on Match Gifts

In addition to common sense, some of the earliest economic research on philanthropy supported the idea that matching gifts should make a big difference. In the 1970s, economists began studying the tax deduction for charitable giving, and they found that it clearly affected how much people gave. When tax rates were higher — and deductions were thus more valuable — people gave more. It seemed to follow that they would be equally rational about a match.

The Experiment

Late in 2004, List and Karlan started working on different solicitation letters for a political organization. The letters were similar except for the part that mentioned (or didn’t mention) a match. In one letter, sent to the control group, there was no match. Another letter said that a donor had agreed to match any gift, dollar for dollar. In a third, the match was increased to two to one, and in a fourth it was three to one.

The Results

When Karlan and List got their results, however, they realized that the conventional wisdom about matches was only partly right. The existence of a matching gift did very much matter. In their experiment, 2.2 percent of people who received the match offer made a donation, compared with only 1.8 percent of the control group. That may not seem like a big difference, but it is — more than a 20 percent gap between the two response rates, which is certainly large enough to justify making the effort to solicit a hefty matching gift.

But the size of the match in the experiment didn’t have any effect on giving. Donors who received the offer of a one-to-one match gave just as often, and just as much, as those responding to the three-to-one offer. That was surprising, because a larger match is effectively a deeper discount on a person’s gift. Yet in this case, the deeper discount didn’t make an impact. It was as if Starbucks had cut the price of a latte to $2 and sales didn’t increase.

Why Do People Give?

In the late 1980s, an economist named James Andreoni argued that the internal motives for giving were indeed more important than many people had acknowledged. He came up with a name for his idea — the “warm glow” theory — and it stuck. In the warm-glow view of philanthropy, people aren’t giving money merely to save the whales; they’re also giving money to feel the glow that comes with being the kind of person who’s helping to save the whales.

Andreoni’s argument was a merely theoretical one, but the experiment by List and Karlan suggested that it was correct. Donors did not, in fact, seem to do a rational analysis of how they could best help promote liberalism. And there was one more layer to their results that made the findings even more striking. In blue states — defined as those that voted for John Kerry — even the existence of a matching gift had only a minor effect. It lifted the response rate by about 5 percent. In red states, though, a matching gift increased donations by about 60 percent. For isolated liberals living in states that had just voted for Bush’s re-election, the glow that came from joining up with another liberal seemed to be much stronger. “Giving is not about a calculation of what you are buying,” Karlan said. “It is about participating in a fight.” It is about you as much as it about the effect of your gift. As much as fund-raisers say that they understand these mixed motivations, charities often continue to behave as if donors were automatons. Thus the existence of big matching gifts.

I found this study incredibly compelling for a number of reasons. First, their method allowed them to test a number of conditions at scale in the field. This is the primary principle behind A/B testing and will, no doubt, play a huge role in future eco-feedback systems (e.g., like Google’s PowerMeter and Microsoft’s Hohm) that will allow the designers to quantify the benefit/effectiveness of specific feedback features and interfaces. Second, their results further underline how very irrational humans can be and that we are not, for whatever reason, always motivated to maximize rational economic gain. If you’re interested in the theory of decision making, I recommend Tversky’s The Framing Of Decisions And The Psychology Of Choice, Tversky’s Judgment Under Uncertainty Heuristics And Biases, and Thaler’s Mental Accounting Matters (to name a few). Note that I believe each of these articles rely solely on laboratory experiments to make their arguments. Finally, I’d be interested in knowing whether visualizations of how gift matching works on the letters themselves would have an effect–that is to say, are some people simply not getting the fact that gift matching can make a huge difference?

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The Fun Theory: Changing People’s Behavior Through Fun

Monday, October 12th, 2009

A set of semi-viral videos about using “fun to change people’s behavior” have hit the web by a group called Rolighetsteorin.se. So far, the group has posted two videos: the first is on redesigning a garbage can to play back a sound file when depositing garbage and the second is on redesigning a subway staircase to promote walking vs. escalator use by turning the stairs into a giant piano ala Big. Both are examples of Persuasive Technology: technology that changes the way people think and act. It is an area I have been studying in graduate school at the University of Washington for the past few years.

The World’s Deepest Bin

This video starts off with the question “Can we get more people to throw their rubbish in the bin by making it fun to do?” The video then skips through a variety of small vignettes showing people throwing away trash at the bin and being amused by the result. The video discloses that on one day 72kg of rubbish was collected in the redesigned bin, 41kg more than a traditional bin just a small distance away. The video ends with: “Fun can obviously change behavior for the better.”

The academic in me asks, “can it really?” I don’t think anyone would debate that fun can change behavior–indeed, “fun” tends to inspire many activities in our lives. However, to truly evaluate the redesigned bin’s effectiveness, one would need to collect data for weeks if not months and, ideally, in more than one setting and in more than one redesigned bin. Although a 31kg difference in rubbish weight between the traditional bin and modified bin certainly points to a positive effect, we can’t be sure if this is just standard garbage variance (i.e., this was just a busy garbage day at that side of the park) or whether the redesigned bin area always gets more garbage (i.e., that particular bin always gets more garbage whether it has sound feedback or not).

Secondly, a problem that plagues much of Persuasive Technology is whether or not the technological intervention induces long-term change (the so called novelty effect). That is, once the person is habituated to the persuasive tech, it no longer impacts their behavior. In this case, given that the bin is in a public space where usage is predominantly by random passerbys, this may not be so relevant.

Finally, there is actually a slight paradox in their design–they are trying to decrease littering by increasing the usage of a trash bin; however, the only way to interact with the system is to deposit trash in the bin. That is, it is only reinforcing people’s proper trash behaviors not necessarily changing the behavior of litterers (although an argument could be made that a litterer could observe or overhear the bin and decide, then, not to litter).

For those that are interested in persuasive technology for garbage/recycling behaviors, I point you to two other relevant sources. At UbiComp2006, Eric Paulos and Tom Jenkins from Intel Research demo’d JetSam, a trash bin that had a camera and projector installed within it to actually project the bin’s contents on the ground (left and middle in Figure below). At DIS2005, David Holstius and colleagues from Carnegie Mellon University wrote a paper on their Infotropism display, which used sensors and living plants to provide ambient feedback about recycling and waste disposal practices in a cafeteria (right in Figure below).

JetsamIntropism

Of course, technology need not be used at all to increase positive garbage disposal behaviors, we can, instead, rely on good industrial design. In a study by Sean Duffy and colleagues at Rutgers, they found that a redesigned trash bin with specific holes for recycling cans, bottles, and newspapers increased recycling by 34%.

Piano Stairs

This is a really fun digital art installation. It is clearly engaging and promoted curiosity and exploration by subway riders. Given that large amounts of people tend to exit a subway at the same time, sound was a great way of attracting others to take the staircase who may have taken the escalator.

That said, a few questions come to mind. (1) This may improve stair walking in the short term, but a more interesting and useful study would be to investigate whether these changes were maintained for long periods (e.g., weeks or months) and, particularly, whether the commuters of this station were compelled to repeatedly opt for the stairs over the escalator. Of course, the non-regular users may indeed be stimulated to try the stairs over the escalator leading to more stair usage at this station than on average. (2) How could we use this design at multiple stations? There is likely a novelty effect at play here–if all subway staircases had piano stairs–would it still be effective? (3) Finally, given that the escalator appears to be moving whether or not people are on it (i.e., it does not have a motion sensor to start and stop), there is no energy savings for stair use (although there are health benefits).

Finally, I should mention that the stated intentions of Rolighetsteorin.se are “to use fun to change people’s behavior for the better”. However, Rolighetsteroin.se appears to either be sponsored by or affiliated with VW. It’s unclear what constitutes this relationship nor what effect it has on the project undertakings or the videos themselves. Rolighetsteroin.se may simply be part of a VW viral advertising campaign and not actually interested in “changing people’s behavior through fun.”

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The Feetback Cycle: Leveraging Everyday Technologies to Change the Way We Move

Saturday, October 10th, 2009

The Feetback Cycle

On Friday, October 9th, I was part of an invited panel at the Walk21 conference on Using Powerful Web Apps to Build a Livable Streets Movement hosted by Nick Grossman from The Open Planning Project (TOPP) Labs. Other panelists included Ben Berkowitz from SeeClickFix, a tool to report and monitor community issues; Aaron Ogle from WalkShed.org, a visualization tool to explore very precise and personal walkability calculations; and Seth Priebatsch from SCVNGR, a website to host geo-based scavenger hunt games. It ended up being a tremendously successful panel with a very fruitful discussion which included questions about privacy, the pros/cons of transparency, motivating adoption, and government engagement. Discussions will continue on the mailing list: streets-advocacy-tech@googlegroups.com.

The title of my talk was The Feetback Cycle: Leveraging Everyday Technologies to Change the Way We Move. I focused on the emerging area of Persuasive Technology and the ways in which technology may be used to encourage particular behaviors. I began the talk with a brief overview of popular behavior motivation techniques, highlighted past studies by Sunny Consolvo and colleagues at Intel Research exploring the use of mobile phones to promote fitness activity and then transitioned into a lengthier overview of the UbiGreen Transportation Display. Unfortunately, due to time constraints, I was not able to go over commercial offerings of persuasive technology like the Nike+iPod, the newly released iPod Nano Pedometer or the long-awaited FitBit but you can see the slides here (pptx file, 33.9 MB).

Below are some pictures from the talk itself:

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The Toyota Prius is perhaps the quintessential eco-feedback system, it provides real-time information about a driver’s fuel efficiency as well a historical graph to track progress over time.

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Back in 2005-2006, Sunny Consolvo and colleagues from Intel Research, Seattle used a pedometer and mobile phone to show that rewards mediated by a technology could be effective in motivating fit behavior even if that reward was simple. In this case, study participants were rewarded with an asterisks when they achieved their step goals.

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The UbiGreen Transportation Display semi-automatically senses transportation modes such as bicycling, running, and walking and feeds this information back to the user with the goal of motivating green transportation decisions.

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The UbiGreen Transportation Display uses the background of the mobile phone (sometimes called the wallpaper) to display evocative imagery that changes based on sensed transit activity (sort of like a real-life Choose Your Own Adventure where the choices are sensed in the physical world rather than in a book).

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