Potential of Social Modelling in Socio-Technical Systems

Alois Ferscha, Kashif Zia, Andreas Riener, Alexei Sharpanskykh

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

Abstract

While modelling (and simulating) a socio-technical system, the primary focus has been on the technological side almost ignoring the social dimension of it. However, with recent advancements in Ambient Intelligence (AmI) and emotions sensing technologies, it is now possible to fill this gap. To this end, we have integrated cognitive decision making model abstracted from psychological, neurological and social theories of human behaviour in evacuation situations into a simulated environment, assisted by AmI technology. Initial simulation findings are reported in this paper, keeping focus on a scenario in which a small population of agents is technologically assisted. The results are: (i) the technologically assisted agents emerge as leaders during evacuation changing the intentions of most of the agents, and (ii) even a small population of such leaders is sufficient to guarantee an efficient evacuation due to leader following behaviour emerging as a social phenomenon.
Original languageEnglish
Title of host publicationProceedings of The European Future Technologies Conference and Exhibition (FET11)
Number of pages2
Publication statusPublished - May 2011

Fields of science

  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102018 Artificial neural networks

JKU Focus areas

  • Engineering and Natural Sciences (in general)

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