Towards a cognitive model of crowd behavior based on social comparison theory

Natalie Fridman, Gal A. Kaminka

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Models of crowd behavior facilitate analysis and prediction of human group behavior, where people are affected by each other's presence. Unfortunately, existing models leave many open challenges. In particular, psychology models often offer only qualitative description, while computer science models are often simplistic, and are not reusable from one simulated phenomenon to the next. We propose a novel model of crowd behavior, based on Festinger's Social Comparison Theory (SCT). We propose a concrete algorithmic framework for SCT, and evaluate its implementation in several crowd behavior scenarios. Results from task measures and human judges evaluation shows that the SCT model produces improved results compared to base models from the literature.
Original languageAmerican English
Title of host publicationThe national conference on artificial intelligence
StatePublished - 2007

Bibliographical note

Place of conference:Canada


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