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DC Field | Value | Language |
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dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Las Vegas, NV | - |
dc.citation.endPage | 306 | - |
dc.citation.number | PART 1 | - |
dc.citation.startPage | 297 | - |
dc.citation.title | 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management | - |
dc.citation.volume | 8025 LNCS | - |
dc.contributor.author | Busogi, Moise | - |
dc.contributor.author | Kim, Namhun | - |
dc.contributor.author | Shin, Dongmin | - |
dc.contributor.author | Ryu, Hokyoung Blake | - |
dc.contributor.author | Yoo, Arm | - |
dc.contributor.author | Kim, Dongchul | - |
dc.date.accessioned | 2023-12-20T00:40:50Z | - |
dc.date.available | 2023-12-20T00:40:50Z | - |
dc.date.created | 2013-08-20 | - |
dc.date.issued | 2013-07-21 | - |
dc.description.abstract | In this paper, we propose a modeling framework of rational human actions in human-environment systems by evaluating probable human actions in physical and psychological dimensions. In the affordance theoretic perspective, an environment offers certain physical and psychological limitations to filter a finite number of feasible human actions that lead to desired system states in a spatio-temporal dimension. By integrating physical and psychological constraints in human decision making processes, a value-based Bayesian-affordance model is proposed using Markov Decision Model. To this ends, two different types of filters, 'F1' and 'F2' are proposed, where 'F1' is a preference-based numerical filter conceived at the planning level for psychological constraints and 'F2' an affordance-based numerical filter at the execution level in which agent's perception of physical action availability plays a big role. Finally, a simple example based on the proposed model is illustrated to verify the proposed framework and the analysis results are discussed. | - |
dc.identifier.bibliographicCitation | 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, v.8025 LNCS, no.PART 1, pp.297 - 306 | - |
dc.identifier.doi | 10.1007/978-3-642-39173-6_35 | - |
dc.identifier.isbn | 978-364239172-9 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.scopusid | 2-s2.0-84879937382 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/36970 | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007%2F978-3-642-39173-6_35 | - |
dc.language | 영어 | - |
dc.publisher | 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management | - |
dc.title | Bayesian affordance-based agent model for wayfinding behaviors in evacuation problems | - |
dc.type | Conference Paper | - |
dc.date.conferenceDate | 2013-07-21 | - |
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