统计与数据科学系系列学术报告之四百六十六期

时    间： 2025年4月11日（周五）9:00-10:00

主持人：复旦大学 管理学院 统计与数据科学系 沈娟 副教授

地    点：史带楼302室

报  告 人：Dr.  Weining Shen

University of California, Irvine.

题 目：Statistical Analysis of 3D Path Data in Minecraft

摘    要：Understanding spatial navigation and memory formation is critical to exploring how humans learn and adapt in complex environments. To investigate these processes, we conducted an experiment using the Minecraft Memory and Navigation Task, collecting detailed 3D path data in a virtual open-world setting. Statistically, we developed a novel methodology to convert complex high-dimensional 3D movement data into functional representations, enabling standardized comparisons and analyses across participants and environments. We applied techniques such as functional clustering and regression to identify navigation patterns and their relationships with cognitive map development and memory retention. Our analysis uncovered two significant insights: first, participants who adopted moderately exploratory behaviors during training demonstrated superior retention of object locations; second, inefficient navigation strategies were strongly linked to poorer spatial memory and navigation performance. These findings highlight the effectiveness of our methodology in advancing the study of navigation behaviors and cognitive processes in dynamic 3D environments.

个人简介：Weining Shen is Associate Professor of Statistics at University of California, Irvine. He received his PhD from North Carolina State University and spent two years as a postdoc at the University of Texas M.D. Anderson Cancer Center. He is an associate editor for a few statistical journals including JASA, AoAS, and Statistica Sinica. Prof. Shen’s research interest includes Bayesian methods, machine learning, high-dimensional models, and large language models.

统计与数据科学系

2025-4-7