"Information Sampling and Bayesian Belief Formation in Statistical Judgment", Dr. He Lisheng, Associate Professor, SILC Business School, Shanghai University

Title: Information Sampling and Bayesian Belief Formation in Statistical Judgment

Speaker: Dr. He Lisheng, Associate Professor, SILC Business School, Shanghai University

Date: 27 November, 2024 (Wednesday)

Time: 14:00 - 15:00

Location: T1-302-R1

Abstract:

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.

Speaker Bio:

Dr. He Lisheng is an Associate Professor at the SILC Business School, Shanghai University. He earned his Ph.D. from Warwick Business School and completed his postdoctoral research at the University of Pennsylvania. Selected for the Shanghai Pujiang Talent Program, Dr. He has led a National Natural Science Foundation of China Youth Project. His research combines behavioral experiments, eye-tracking, VR simulation, and computational cognitive models to investigate the cognitive and emotional mechanisms in managerial and economic decision-making. His work has been published in prestigious journals, including Management Science, Psychological Review, Journal of Experimental Psychology: General, Cognitive Psychology, Proceedings of the Royal Society B: Biological Sciences, and NeuroImage. https://silc.shu.edu.cn/info/1321/19360.htm