Gal A. Kaminka: Publications

Sorted by DateClassified by Publication TypeClassified by TopicGrouped by Student (current)Grouped by Former Students

Towards a Cognitive Model of Crowd Behavior Based on Social Comparison Theory

Natalie Fridman and Gal A. Kaminka. Towards a Cognitive Model of Crowd Behavior Based on Social Comparison Theory. In Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07) , 2007.

Download

[PDF]155.6kB  

Abstract

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 algorithmicframework for SCT, and evaluate its implementation in several crowd behavior scenarios. Resultsfrom task measures and human judges evaluation showsthat the SCT model produces improved results compared to base models from the literature.

Additional Information

BibTeX

@InProceedings{aaai07sct,
author = {Natalie Fridman and Gal A. Kaminka},
title = {Towards a Cognitive Model of Crowd Behavior Based on Social Comparison Theory},
booktitle = AAAI-07,
OPTcrossref = {},
OPTkey = {},
OPTpages = {In press},
year = {2007},
  abstract = { 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.},
  wwwnote = {},
OPTeditor = {},
OPTvolume = {},
OPTnumber = {},
OPTseries = {},
OPTaddress = {},
OPTmonth = {},
OPTorganization = {},
OPTpublisher = {},
OPTannote = {}
}

Generated by bib2html.pl (written by Patrick Riley ) on Thu Feb 22, 2024 11:36:58