Research Seminars

2025/04/09
Research Seminars
"Political Identity and Conjunction Fallacy: Experimental Evidence from the 2024 U.S. Presidential Election", Prof. Bin MIAO, Renmin University of China
Title: Political Identity and Conjunction Fallacy: Experimental Evidence from the 2024 U.S. Presidential ElectionSpeaker: Prof. Bin MIAO (苗彬), Professor, School of Economics, Renmin University of ChinaDate: April 9, 2025 (Wednesday)Time: 14:00 - 15:00Location: T7-106-R1Abstract:In a divided world, political identity can heighten the prevalence of heuristics in decision making. This study explores ...
2025/03/27
Research Seminars
"A Replication of the Trust Game in a Highly Immersive Virtual Reality Environment", Dr Xu ZHANG, The Hong Kong University of Science and Technology (Guangzhou), Assistant Professor
Title: A Replication of the Trust Game in a Highly Immersive Virtual Reality EnvironmentSpeaker: Dr Xu ZHANG, Assistant Professor, The Hong Kong University of Science and Technology (Guangzhou)Date: Wednesday, March 26, 2025Time: 14:00 - 15:00Venue: T7-106-R1Abstract:As the metaverse gains traction and other highly immersive virtual environment (HIVE) applications of virtual reality (VR) technologies ...
2024/11/27
Research Seminars
"Information Sampling and Bayesian Belief Formation in Statistical Judgment", Dr. He Lisheng, Associate Professor, SILC Business School, Shanghai University
The statistical properties of data are often communicated using visual graphs, such as scatterplots. This seminar will explore how decision-makers, as Bayesian learners, optimally interpret data points they attend to, with judgment errors emerging from biased sampling of information. Through four eye-tracking experiments (total N = 421), Dr. He will demonstrate that a Bayesian learning model, trained on sensory inputs from visual information search, can accurately predict participant judgments and associated biases. The seminar will introduce a new computational model of information sampling that, combined with the Bayesian model, replicates observed behavioral patterns, offering fresh insights into data visualization and statistical communication.
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