Perceived Realism Of Crowd Behaviour With Social Forces

Stuart O'Connor, Fotis Liarokapis, Chrisina Jayne

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

15 Citations (Scopus)


This paper investigates the development of an urban crowd simulation for the purposes of psychophysical experimentation. Whilst artificial intelligence (AI) is advancing to produce more concise and interesting crowd behaviours, the number or sophistication of the algorithms implemented within a system does not necessarily guarantee its perceptual realism. Human perception is highly subjective and does not always conform to the reality of the situation. Therefore it is important to consider this aspect when dealing with A implementations within a crowd system aimed at humans. In this research an initial two-alternative forced choice (2AFC) with constant stimuli psychophysical experiment is presented. The purpose of the experiment is to assess whether human participants perceive crowd behaviour with a social forces model to be more realistic. Results from the experiment suggest that participants do consider crowd behaviour with social forces to be more realistic. This research could inform the development of crowd-based systems, especially those that consider viewer perception to be important, such as for example video games and other media.

Original languageEnglish
Title of host publicationProceedings - Information Visualisation: Computer Graphics, Imaging and Visualisation, IV 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467375689
Publication statusPublished - 21 Sept 2015
Event19th International Conference on Information Visualisation, IV 2015 - Barcelona, Spain
Duration: 22 Jul 201524 Jul 2015


Conference19th International Conference on Information Visualisation, IV 2015


  • Agent behaviour
  • Artificial intelligence
  • Crowd simulation
  • Perception
  • Psychophysics
  • Virtual environments

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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