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Human-likeness of an Agent's Movement-Data Loci based on Realistically Limited Perception Data  

Han, Chang-Hee (Department of Computer Science & Electrical Engineering, Korea Military Academy)
Kim, Won-Il (Department of Digital Contents, Sejong University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.47, no.4, 2010 , pp. 1-10 More about this Journal
Abstract
This present paper's goal is to show a virtual human agent's movement-data loci based on realistically limited perception data is human-like. To determine human-likeness of the movement-data loci, we consider interactions between two parameters: Realistically Limited Perception (RLP) data and Incremental Movement-Path data Generation (IMPG). That is to consider how the former (i.e., RLP), one of the simulated parameters of human thought or its elements dictates the latter (i.e., IMPG), one of the simulated parameters of human movement behavior. Mapping DB is a prerequisite for navigation in an agent system because it functions as an interface between perception and movement behavior. Although Hill et al. studied mapping DB methodology based on RLP, their research dealt only with a rendering camera's view point data. The agent system in this present paper was integrated with the Hill's mapping DB module and then the two parameters' interaction was considered on a military reconnaissance mission with unexpected enemy emergence. Movement loci that were generated by the agent and subjects were compared with each other. The agent system in this present research verifies that it can be a functional test bed for producing human-like movement-data loci although the human-likeness of agent is the result of a pilot test, determined by two parameters (RLP and IMPG) and only 30 subjects.
Keywords
에이전트 데이터 모델링 및 시뮬레이션;지도 DB 제작;항해 데이터 연산;인지적 행동;
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