Archive for the ‘Psychology’ 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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LogicaCMG Energy Efficiency Survey

Friday, January 30th, 2009

LogicaCMG, a consulting firm based in Europe, performed a telephone survey of 10,000 consumers across 10 European countries in 2007.

They found that 80% of consumer claimed that they were worried about climate change. They also found evidence of the attitude behaviour gap, because although 70% of people surveyed claimed they did a lot to reduce consumption, real action lags behind. They found that people have no idea how much energy they are using, and that there is a disparity between what people think they are saving and how much they are actually saving via their actions. People responded that that there was too much too much information about problems, and not enough about potential solutions. They also said that knowing who to trust was difficult.

From the report:

Interestingly, 45% of respondents overall claimed that they had “no idea of how much energy” they were using at any moment (well over 60% in France and Spain). Providing up-to-date information to consumers is key; even though three-quarters of people believe that their energy consumption affects climate change, if they do not know how much energy they are consuming then their concern is not put into an actionable context. Yet, it is very difficult to provide precise information based on traditional forms of metering and billing.


Positive Reaction to Smart Metering

However, there was a very positive reaction to the idea of smart meters which provide more detailed and immediate feedback as to what was being used in the home, especially among energy conscious or technologically savvy consumers. Over 80% of respondents stated that a real time feedback monitor in their home would make them change their day to day behaviour, almost as many as said they would change if energy priced doubled. More people said that a feedback monitor would help if global warming had an effect on their lives, energy use was rationed, they lived with someone who is concerned, or the government had an awareness campaign.

They found that the two most popular methods of receiving smart meter information are through more detailed bills (57%) and a screen showing up-to-date energy usage information (55%). Less than 30% preferred a webpage and less than 10% a call center. Approximately 15% said none of the options.

Reasons for not saving energy

It is possible to request this report and the energy awareness and water efficiency reports here

This is an encouraging study, as it appears that people are on board with saving energy and are many are willing to consider change. The key finding is that the most important thing is to provide people with accurate information about what to change. However, this study is a survey of perceptions, and does not reflect the actual saving that improved feedback may provide and reception it will receive. Still, it seems likely that smart metering solutions are a promising direction.

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A survey of Americans’ energy saving behaviors, intentions, motivations, and barriers

Thursday, January 29th, 2009

Yale and George Mason University conducted a nationally representative survey of 2,164 American adults in Fall 2008 exploring actions that were currently being taken, barriers and attitudes toward actions for reducing climate change.

They divide the Energy-Efficiency Actions, which represent changes such as purchasing a more efficient heater, more efficient car, or CFL, and Energy-Conservation Actions which represent behavior changes such as turning off unneeded lights, setting more conservative thermostat levels, using public transportation, or walking instead of driving.

Figure 2: Energy Conservation Actions

They found that over 90% of Americans regularly turn off unneeded lights, but only 20% often take alternative transit instead of driving. The primary motivation for green behavior was saving money and energy, but many people also cited reducing global warming, acting morally, and feeling as important.

Approximately half of Americans feel that if most people in the United States or developed world take conservation steps, we can significantly reduce our contribution to global warming.

The full paper is entitled “Saving energy at home and on the road: A survey of Americans’ energy saving behaviors, intentions, motivations, and barriers” and is available here

Overall, this is a good study for figuring out the current state of energy conservation in the United States. It shows that many Americans do care about the environment and are willing to make personal changes in their lives to reduce climate change. It also shows that they are willing spend money on devices and technologies that are more energy efficient, and may also be willing to buy, install, and use technologies that help them monitor their own energy usage or transportation choices.

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35 Years of Research on Goal-Setting Theory

Sunday, January 25th, 2009

A clear objective of environmental feedback technologies (or energy consumption displays) is to create better awareness between action and consumption. For example, the Toyota Prius dashboard allows the driver to quickly ascertain how their driving patterns affect gas mileage and the overall operating efficiency of the car, “The Energy Detective” provides real-time, quantitative feedback to occupants about energy usage in their home allowing one to ascertain, for example, that the dryer and microwave consume large amounts of energy. In some cases, revealing such information to a person is enough to inspire reflection and provoke a change in behavior (e.g., though I do not have a citation readily available, I would imagine that most driver’s of the Toyota Prius have modified their driving behavior as a result of a better understanding of the vehicle’s operation as enabled through the feedback interface). Feedback technologies, however, are still in their infancy and most designs ignore prevailing theories in behavioral psychology (e.g., the effect of self monitoring, goal-setting theory, social competition). I would argue that the true potential of feedback technology hinges on the designer’s ability to tie in such theories into their applications/interfaces (which, I realize, is no small task). With this argument as my backdrop, I hope to make a series of posts about behavior change, feedback technology, and behavioral/social psychology. The first is on “Goal-Setting Theory.”

My advisor forwarded me a paper entitled “Building a Practically Useful Theory of Goal Setting and Task Motivation – A 35-Year Odyssey” published in 2002 by Edwin Locke of the University of Maryland and Gary Latham of the University of Toronto. The paper summarizes 35 years of empirical research on goal-setting theory. One cautionary note, much of the research reported in this paper is from studies of goal-setting and performance on contrived tasks in the laboratory, it’s unclear how/if these findings translate to real-world, everyday behaviors.

Goal Mechanisms

According to Locke and Latham, goals affect performance through four mechanisms:

  1. Goals serve a directive function; they direct attention and effort toward goal-relevant activities and away from goal-irrelevant activities. This effect occurs both cognitively and behaviorally.
  2. Goals have an energizing function. High goals lead to greater effort than low goals.
  3. Goals affect persistence. When participants are allowed to control the time they spend on a task, hard goals prolong effort (LaPorte & Nath, 1976).
  4. Goals affect action indirectly by leading to the arousal, discovery, and/or use of task-relevant knowledge
    and strategies (Wood & Locke, 1990).

Importance of Setting Specific Goals

Setting a specific goal leads to better performance compared to setting an abstract goal (e.g., “I’m going to get a 95% on my next exam” vs. “I’m going to do my best on my next exam”).

We found that specific, difficult goals consistently led to higher performance than urging people to do their best. The effect sizes in meta-analyses ranged from .42 to .80 (Locke & Latham, 1990). In short, when people are asked to do their best, they do not do so. This is because do-your-best goals have no external referent and thus are defined idiosyncratically. This allows for a wide range of acceptable performance levels, which is not the case when a goal level is specified. Goal specificity in itself does not necessarily lead to high performance because specific goals vary in difficulty. However, insofar as performance is fully controllable, goal specificity does reduce variation in performance by reducing the ambiguity about what is to be attained (Locke, Chah, Harrison, & Lustgarten, 1989)

That said, when people are confronted with a task that is complex for them, encouragement (e.g., urging to do their best) sometimes leads to better solving strategies than setting a specific difficult performance goal.

This is because a performance goal can make people so anxious to succeed that they scramble to discover strategies in an unsystematic way and fail to learn what is effective. This can create evaluative pressure and performance anxiety. The antidote is to set specific challenging learning goals, such as to discover a certain number of different strategies to master the task (Seijts & G. P. Latham, 2001; Winters & Latham, 1996).

Self-Confidence and Relation to Goal-Setting

Psychologists have found a variety of interactions between confidence in completing a task (self-efficacy) and goal-setting:

The concept of self-efficacy is important in goal-setting theory in several ways. When goals are selfset, people with high self-efficacy set higher goals than do people with lower self-efficacy. They also are more committed to assigned goals, find and use better task strategies to attain the goals, and respond more positively to negative feedback than do people with low self-efficacy (Locke & Latham, 1990; Seijts & B. W. Latham, 2001).

Goal Commitment

According to Locke and Latham, the goal-performance relationship is strongest when people are committed to their goals. Two key factors affect goal-commitment: (1) the importance placed on attaining the goal and (2) belief that the goal can be attained (self-efficacy).

Increasing Goal Commitment

There are many ways to convince people that goal attainment is important.

  1. Making a public commitment to the goal enhances commitment, presumably because it makes one’s actions a matter of integrity in one’s own eyes and in those of others (Hollenbeck, Williams, & Klein, 1989).
  2. Goal commitment can also be enhanced by leaders communicating an inspiring vision and behaving supportively.
  3. Monetary incentives are one practical outcome that can be used to enhance goal commitment. However, there are important contingency factors. The first is the amount of the incentive; more money gains more commitment. Second, goals and incentive type interact. When the goal is very difficult, paying people only if they reach the goal (i.e., a task-and-bonus system) can hurt performance. Once people see that they are not getting the reward, their personal goal and their self-efficacy drop and, consequently, so does their performance. This drop does not occur if the goal is moderately difficult or if people are given a difficult goal and are paid for performance (e.g., piece rate) rather than goal attainment (Latham & Kinne, 1974; Latham & Yukl, 1975; T. Lee, Locke, & Phan, 1997).
  4. As noted, self-efficacy enhances goal commitment. Leaders can raise the self-efficacy of their subordinates (a) by ensuring adequate training to increase mastery that provides success experiences, (b) by role modeling or finding models with whom the person can identify, and (c) through persuasive communication that expresses confidence that the person can attain the goal (Bandura, 1997; White & Locke, 2000).

Feedback

Feedback is essential to tracking one’s success toward completing a goal.

For goals to be effective, people need summary feedback that reveals progress in relation to their goals. If they do not know how they are doing, it is difficult or impossible for them to adjust the level or direction of their effort or to adjust their performance strategies to match what the goal requires. If the goal is to cut down 30 trees in a day, people have no way to tell if they are on target unless they know how many trees have been cut. When people find they are below target, they normally increase their effort (Matsui, Okada, & Inoshita, 1983) or try a new strategy. Summary feedback is a moderator of goal effects in that the combination of goals plus feedback is more effective than goals alone (Bandura & Cervone, 1983; Becker, 1978; Erez, 1977; Strang, Lawrence, & Fowler, 1978).

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Be Green. Everybody’s Doing It.

Wednesday, December 10th, 2008

From Save the Earth. Everybody’s doing it. – On selecting the right persuasive hook:

Have you ever noticed the “reuse your towels” cards in your hotel room? They typically show a beautiful vista with copy describing how reusing your towel will save energy, water, and, by extension, the environment. Are you convinced? Do you reuse your towels? Most people don’t.

The hotel industry seemed to think that “some do” was good enough, though. Perhaps hotel executives thought they’d hit a compliance ceiling? So they continue (today!) to print the same cards with the same pictures and the same largely unpersuasive message.

Researchers Goldstein, Cialdini, and Griskevicius, however, felt that it was hook (”Do this to save the earth.”) not the sentiment (”save the earth”) that was weak. They hypothesized that knowing that other people had done it would evoke greater compliance than just saving the earth.

To test their hypothesis, Goldstein and team created two sets of request cards that contrasted the original conservationist message with a new social proof motivator message. The gist of the messages (although not the actual messages) were:

– Original conservationist message: Reuse your towels. It will save the earth.
– Social proof message: Reuse your towels. Everybody’s doing it.

Then they worked with hotel staff to distribute the cards throughout the rooms. And then waited to see who reused their towels and who didn’t.

The result was impressive. Hotel guests who saw the “Everybody’s doing it” message reused their towels 26% more than those who saw the “Save the earth” message. That represents a 26% increase over the accepted industry standard.

The researchers wondered if a shared social proof appeal could be even more persuasive through similarity. So they ran the study again. This time they included a third treatment variation, which essentially conveyed, “People in exactly your situation — who stayed in the same hotel room — have reused their towels.” Their hunch was that knowing that people who had stayed in the room had participated in the desired behavior would add even more social pressure to comply.

Again they were correct. Individuals exposed to the same-room-social-proof motivator message were 33% more likely to reuse their towels than individuals in the conservationist message rooms.

It seems that the closer to home (away-from-home) the social comparison is, the more effective it is.

From the original research paper, Goldstein, N.J., Cialdini, R.B., Griskevicius, R.B. (2008), A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels, Journal of Consumer Research, Vol. 35.:

Social Norms
When consumers learn that seven out of 10 people choose one brand of automobile over another, that teeth-whitening toothpaste has become more popular than its less functional counterpart, and that nearly everyone at the local cafeteria steers clear of the “spamburger surprise” entree, they are getting information about social norms. Specifically, they are getting information about descriptive norms, which refer to how most people behave in a situation. Descriptive norms motivate both private and public actions by informing individuals of what is likely to be effective or adaptive behavior in that situation (Cialdini, Kallgren, and Reno 1991). A wide variety of research shows that the behavior of others in the social environment shapes individuals’ interpretations of, and responses to, the situation (Bearden and Etzel 1982), especially in novel, ambiguous, or uncertain situations (Griskevicius et al. 2006; Hochbaum 1954; Park and Lessig 1977; Shapiro and Neuberg, forthcoming).

Norm Adherence
Several factors are known to influence the extent to which individuals will adhere to the descriptive norms of a given reference group (Cialdini and Goldstein 2004; Goldstein and Cialdini, forthcoming). One important variable affecting the likelihood of norm adherence is the level of perceived similarity among others and a given individual (Burnkrant and Cousineau 1975; Moschis 1976). According to Festinger’s (1954) social comparison theory, people often evaluate themselves by comparing themselves to others especially to others with whom they share similar personal characteristics. In line with this supposition, people are indeed more likely to follow the behaviors of others with similar features, including age (Murray et al. 1984), personality attributes (Carli, Ganley, and Pierce-Otay 1991), gender (White, Hogg, and Terry 2002), and attitudes (Suedfeld, Bochner, and Matas
1971).

Experiment One
Participants
Over an 80-day span, we collected data on 1,058 instances of potential towel reuse in 190 rooms in a midsized, midpriced hotel in the Southwest that was part of a national hotel chain. The guests were not aware that they were participants in the study.

Materials
Materials. Two different messages urging guests’ participation in the towel reuse program were printed on signs positioned on washroom towel racks:
The standard environmental message focused guests’ attention on the importance of environmental protection but did not provide any descriptive normative information:

“HELP SAVE THE ENVIRONMENT. You can show your respect for nature and help save the environment by reusing your towels during your stay.”

The descriptive norm message informed guests that a majority of other guests participate in the towel reuse program:

“JOIN YOUR FELLOW GUESTS IN HELPING TO SAVE THE ENVIRONMENT. Almost 75% of guests who are asked to participate in our new resource savings program do help by using their towels more than once. You can join your fellow guests in this program to help save the environment by reusing your towels during your stay.”

Results
Consistent with our hypothesis, a chi-square test revealed that the descriptive norm condition yielded a significantly higher towel reuse rate (44.1%) than the environmental protection condition (35.1%). The results of experiment 1 showed that the normative sign, which we have never observed employed by any hotel, yielded a towel reuse rate that was significantly higher than the industry standard.

The results of this study most certainly have implications for the design of feedback technologies to inform consumers not just about how much energy they are expending but how closely it aligns with their community at large. When I’ve discussed this before with others, one argument against allowing consumers to compare themselves to an “average consumer” is that there are studies showing that a person will actually compensate (e.g., use more energy) if they find that they are a better than average consumer. This raises two points: (1) one might want to create tiers of communities based on performance such that you are always being compared with a group that is slightly better at performing than you are; (2) what morality must a feedback technology subscribe to? It is OK to exaggerate (or outright lie) to shift a person’s behavior in a positive manner?

Also, it would seem that this most certainly could impact the design of social networking applications (such as Facebook plugins) that attempt to motivate positive behavior change through social awareness and influence.

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