Human behavioral simulation using affordance-based agent model

Authors:
Namhun Kim;Jaekoo Joo;Ling Rothrock;Richard Wysk;Young-Jun Son
Affiliations:
Design and Human Engineering, Ulsan National Institute of Science and Technology, Republic of Korea;Systems and Management Engineering, Inje University, Republic of Korea;Industrial and Manufacturing Engineering, the Pensylvania State University, University Park, PA;Industrial and Systems Engineering, North Carolina State Universty, Raleigh, NC;Systems and Industrial Engineering Department, The University of Arizona, Tucson, AZ
Venue:
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Year:
2011

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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.