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Behavioral Economics and Collective Behavior Lab
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A lab that studies how individuals and groups can make better judgments, through behavioral economics and collective intelligence.
AboutAbout the lab
Collective intelligence, behavioral economics, and decision-making in the age of AI
The Behavioral Economics and Collective Behavior Lab studies how individuals and groups can make good judgments and decisions.
The central question is how to use information about oneself, others, and the group in order to judge better.
In addition to collective intelligence and behavioral economics, the lab works on online reviews, recommendation, and decision support in the age of AI.
The undergraduate practicum emphasizes ideas, so students can take part even without sufficient knowledge of computer simulation or statistics.
Key terms
- Collective intelligence
- The phenomenon in which gathering the opinions or judgments of many people produces a better judgment than any single individual's
- Nudge
- A method of gently steering people's behavior in a better direction by designing how choices are presented, without relying on coercion or penalties
- Cognitive bias
- A tendency for people's judgments to be skewed in a certain direction by assumptions or circumstances
ResearchResearch themes
The lab examines how people can make decisions well (rationally), as well as why people sometimes fail to judge rationally and under what conditions. It mainly pursues research in behavioral economics using behavioral experiments, and research on collective intelligence using computer simulation.
*Illustrative imageUncovering Tendencies in Judgment Through Behavioral Experiments
This is behavioral economics research. Through behavioral experiments, the lab aims to propose new nudges and discover cognitive biases.
*Illustrative imageConditions Under Which a Group's Opinions Become Collective Intelligence
Mainly using computer simulation, the lab identifies the conditions under which a group's opinions become collective intelligence, and, conversely, the conditions under which the group falls into collective "stupidity."
*Illustrative imageEvaluating Reviews and Choosing Products
The lab investigates the conditions under which the distribution of ratings on review sites influences choices, such as whether people choose a product with a high average rating but few reviews or the reverse. It also looks at differences between everyday necessities and hedonic goods, and at the sense of "luxury" a product conveys.
MembersFaculty
- Assistant ProfessorItsuki Fujisaki
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Crowd holding umbrellas (Unsplash)” Alex Knight agkdesign / CC0 (cropped)
- Uncovering Tendencies in Judgment Through Behavioral Experiments: “Hubbub- x960” Hubbub & Common Works / CC BY-SA 4.0 (cropped)
- Conditions Under Which a Group's Opinions Become Collective Intelligence: “2019 Take Our Daughters and Sons to Work Day (20190425-OC-LSC-0169)” USDAgov / Public domain (cropped)
- Evaluating Reviews and Choosing Products: “Positive Customer Feedback” Zuko.io Images / CC BY 2.0 (cropped)
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認知心理学研究室): “A computer keyboard and mouse are positioned on a wooden des” Shixart1985 / CC BY 2.0 (cropped) - Related lab (人と
音の 情報学研究室): “Tom-at-Desk” Tom Harpel from Seattle, Washington, United States / CC BY 2.0 (cropped) - Related lab (数式処理研究室): “Computer algebra system” MalteFilmFan / CC BY-SA 4.0 (cropped)
- Related lab (ソーシャルロボット研究室): “Team ViGIR Robot Florian DARPA Robotics Challenge 2015” Sun L. Vega / Public domain (cropped)
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