Human-centered Computing of Pedestrian Social Behavior
Paul Torrens, Professor in the Department of Computer Science and Engineering and at the Center for Urban Science + Progress at NYU Tandon
MENTOR:
Ryan Kim, PhD Student in the Department of Computer Science and Engineering at NYU Tandon
Authors
Snigdha Anantharaju, Andrew Hwang, Abhishek Kumar
Research Question
How can one build a micro-scale understanding of the social determinants of pedestrian agency?
Background
The goal of this project is to uncover empirical metrics of pedestrian social behavior in outdoor settings, using wearables as human-centered computing.
Students engage in fieldwork to observe and measure pedestrian embodiment in natural physical, mediated, and social settings in New York. The project entails the design a human subjects protocol to collect data on these behaviors, and engage in studio-based recreations using immersive virtual reality.
Methodology
The approach mixes observation, engineering for wearables and sensors, VR modeling.
Deliverables
- Research Paper
Data
- Video, LiDAR, structured light, GPS, and coded observations are collected through fieldwork as part of this project