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Human Behavioral Simulation Using Affordance-Based Agent Model

  • Namhun Kim
  • Jaekoo Joo
  • Ling Rothrock
  • Richard Wysk
  • Young-Jun Son
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6761)

Abstract

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.

Keywords

Human Behavior Affordance Theory Finite State Automata Agent-based Modeling Simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Namhun Kim
    • 1
  • Jaekoo Joo
    • 2
  • Ling Rothrock
    • 3
  • Richard Wysk
    • 4
  • Young-Jun Son
    • 5
  1. 1.Design and Human EngineeringUlsan National Institute of Science and TechnologyRepublic of Korea
  2. 2.Systems and Management EngineeringInje UniversityRepublic of Korea
  3. 3.Industrial and Manufacturing Engineeringthe Pensylvania State UniversityUniversity ParkUSA
  4. 4.Industrial and Systems EngineeringNorth Carolina State UniverstyRaleighUSA
  5. 5.Systems and Industrial Engineering DepartmentThe University of ArizonaTucsonUSA

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