Human behavioral simulation using affordance-based agent model

Namhun Kim, Jaekoo Joo, Ling Rothrock, Richard Wysk, Young Jun Son

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

15 Scopus citations


In this paper, we propose a novel agent-based simulation modeling of human behaviors. A conceptual framework of human behavioral simulation is suggested using the ecological definition of affordances in order to mimic perception-based human actions interacting with the environment. A simulation example of a 'warehouse fire evacuation' is illustrated to demonstrate the applicability of the proposed framework. The perception-based human behaviors and planning algorithms are adapted and embedded within human agent models using the Static and Dynamic Floor Field Indicators, which represent the evacuee's prior knowledge of the floor layout and perceivable information of dynamic environmental changes, respectively. The proposed framework is expected to capture the natural manners in which humans participate in systems and enhance the simulation fidelity by incorporating cognitive intent into human behavior simulations.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationDesign and Development Approaches - 14th International Conference, HCI International 2011, Proceedings
Number of pages10
EditionPART 1
StatePublished - 2011
Event14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States
Duration: Jul 9 2011Jul 14 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6761 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other14th International Conference on Human-Computer Interaction, HCI International 2011
Country/TerritoryUnited States
CityOrlando, FL

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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