Adaptive game for reducing aggressive behavior

Juan F. Mancilla-Caceres, Eyal Amir, Dorothy L Espelage

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Peer influence in social networks has long been recognized as one of the key factors in many of the social health issues that affect young people. In order to study peer networks, scientists have relied on the use of self-report surveys that impose limitations on the types of issues than can be studied. On the other hand, the ever increasing use of computers for communication has given rise to new ways of studying group dynamics and, even more importantly, it has enabled a new way to affect those dynamics as they are detected. Our work is focused on designing and analyzing computer social games that can be used as data collection tools for social interactions, and that can also react and change accordingly in order to promote prosocial, rather than aggressive, behavior.

Original languageEnglish (US)
Title of host publicationIUI 2013 Companion - Proceedings of the 18th International Conference on Inteligent User Interfaces
Pages21-23
Number of pages3
DOIs
StatePublished - Mar 19 2013
Event18th International Conference on Intelligent User Interfaces, IUI 2013 - Santa Monica, CA, United States
Duration: Mar 19 2013Mar 22 2013

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Other

Other18th International Conference on Intelligent User Interfaces, IUI 2013
CountryUnited States
CitySanta Monica, CA
Period3/19/133/22/13

Keywords

  • Bullying detection
  • Computational social science
  • Games with a purpose

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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