Through the years, the Duncan Anderson Design Lecture Series has invited top professionals to share their knowledge and experience with design students at CSULB. This coming year marks the expansion of that series to a bi-monthly event. Thanks to Cecelia Anderson-Malcolm and the Duncan Anderson Endowment, CSULB now has an ongoing design lecture series to rival those at private design schools. The CSULB Industrial Design Program is working closely with IDSA-LA, and its student chapters, to schedule an exciting line-up of speakers. Please let your chapter officers know of professionals you want to meet and hear at future events.
In this lecture, I introduced why designers have to adopt behavioral science to understand customer experience deeply. For instance, prospect theory neatly elucidates why once people have a single extraordinary experience, they can no longer revert to previously satisfactory mundane experiences. It is because the extraordinary experience can become a reference point, while the mundane experiences transform into sources of negative affect. Since loss looms larger than gain, people avoid mundane experiences.
This paper presents a critique of expected utility theory as a descriptive model of decision making under risk, and develops an alternative model, called prospect theory. Choices among risky prospects exhibit several pervasive effects that are inconsistent with the basic tenets of utility theory. In particular, people underweight outcomes that are merely probable in comparison with outcomes that are obtained with certainty. This tendency, called the certainty effect, contributes to risk aversion in choices involving sure gains and to risk seeking in choices involving sure losses. In addition, people generally discard components that are shared by all prospects under consideration. This tendency, called the isolation effect, leads to inconsistent preferences when the same choice is presented in different forms. An alternative theory of choice is developed, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights. The value function is normally concave for gains, commonly convex for losses, and is generally steeper for losses than for gains. Decision weights are generally lower than the corresponding probabilities, except in the range of low probabilities. Overweighting of low probabilities may contribute to the attractiveness of both insurance and gambling.
Script is a stereotyped sequence of activities. A good example of the script is for restaurant dining. We are greeted by a server who guides to a table, we receive a menu from a server, and the server takes our orders. Drinks arrive first and then meals arrive later. When we finish meals, we pay the bill at the cashier and leave the restaurant.
Marketers and designers use scripts to improve customer experience. We often assume the fewer activities customers perform in the restaurant, the more they are satisfied. Therefore, we hire more part-time servers. Alternatively, we try to design an unmanned store by installing vending machines or robots to automatize in-store activities.
Different from our assumptions, however, restaurant customers could be happy about doing everything by themselves. I found this when I met a friend at one of the Rainmaking cafe in Copenhagen, Denmark. Rainmaking is a corporate innovation and venture development firm.
When I entered the cafe, a refrigerator greeted me. No one was inside. I soon realized I should do everything by myself in this cafe. I picked up a beverage, paid it using my mobile phone, grabbed a table with my friend, and then cleaned up the table when leaving.
The whole experience did not bother me much but was quite pleasant. Everyone else seemed to follow this rule. This self-service cafe could be an alternative to automatization. Although many owners want vending machines or robots to make their stores unmanned or intact, not few customers are willing to perform in-store activities themselves.
The advent of electronic environments is bound to have profound effects on consumer decision making. While the exact nature of these influences is only partially known it is clear that consumers could benefit from properly designed electronic agents that know individual users preferences and can act on their behalf. An examination of the variousroles agents perform is presented as a framework for thinking about the design of electronic agents. In addition, a set of goals is established that include both outcome-based measures, such as improving decision quality, as well as process measures like increasing satisfaction and developing trust.
