Human behaviors modeling in multi-agent virtual environment

Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate belie...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Cai, Linqin [verfasserIn] Liu, Binbin [verfasserIn] Yu, Jimin [verfasserIn] Zhang, Jianrong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Virtual environment Virtual human Emotion Multi-agent

Übergeordnetes Werk:	Enthalten in: Multimedia tools and applications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995, 76(2015), 4 vom: 14. März, Seite 5851-5871
Übergeordnetes Werk:	volume:76 ; year:2015 ; number:4 ; day:14 ; month:03 ; pages:5851-5871

Links:	Volltext

DOI / URN:	10.1007/s11042-015-2547-z

Katalog-ID:	SPR016003071

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520			\|a Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents.
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allfields	10.1007/s11042-015-2547-z doi (DE-627)SPR016003071 (SPR)s11042-015-2547-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Cai, Linqin verfasserin aut Human behaviors modeling in multi-agent virtual environment 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents. Virtual environment (dpeaa)DE-He213 Virtual human (dpeaa)DE-He213 Emotion (dpeaa)DE-He213 Multi-agent (dpeaa)DE-He213 Liu, Binbin verfasserin aut Yu, Jimin verfasserin aut Zhang, Jianrong verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 76(2015), 4 vom: 14. März, Seite 5851-5871 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:76 year:2015 number:4 day:14 month:03 pages:5851-5871 https://dx.doi.org/10.1007/s11042-015-2547-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 76 2015 4 14 03 5851-5871
spelling	10.1007/s11042-015-2547-z doi (DE-627)SPR016003071 (SPR)s11042-015-2547-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Cai, Linqin verfasserin aut Human behaviors modeling in multi-agent virtual environment 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents. Virtual environment (dpeaa)DE-He213 Virtual human (dpeaa)DE-He213 Emotion (dpeaa)DE-He213 Multi-agent (dpeaa)DE-He213 Liu, Binbin verfasserin aut Yu, Jimin verfasserin aut Zhang, Jianrong verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 76(2015), 4 vom: 14. März, Seite 5851-5871 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:76 year:2015 number:4 day:14 month:03 pages:5851-5871 https://dx.doi.org/10.1007/s11042-015-2547-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 76 2015 4 14 03 5851-5871
allfields_unstemmed	10.1007/s11042-015-2547-z doi (DE-627)SPR016003071 (SPR)s11042-015-2547-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Cai, Linqin verfasserin aut Human behaviors modeling in multi-agent virtual environment 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents. Virtual environment (dpeaa)DE-He213 Virtual human (dpeaa)DE-He213 Emotion (dpeaa)DE-He213 Multi-agent (dpeaa)DE-He213 Liu, Binbin verfasserin aut Yu, Jimin verfasserin aut Zhang, Jianrong verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 76(2015), 4 vom: 14. März, Seite 5851-5871 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:76 year:2015 number:4 day:14 month:03 pages:5851-5871 https://dx.doi.org/10.1007/s11042-015-2547-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 76 2015 4 14 03 5851-5871
allfieldsGer	10.1007/s11042-015-2547-z doi (DE-627)SPR016003071 (SPR)s11042-015-2547-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Cai, Linqin verfasserin aut Human behaviors modeling in multi-agent virtual environment 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents. Virtual environment (dpeaa)DE-He213 Virtual human (dpeaa)DE-He213 Emotion (dpeaa)DE-He213 Multi-agent (dpeaa)DE-He213 Liu, Binbin verfasserin aut Yu, Jimin verfasserin aut Zhang, Jianrong verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 76(2015), 4 vom: 14. März, Seite 5851-5871 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:76 year:2015 number:4 day:14 month:03 pages:5851-5871 https://dx.doi.org/10.1007/s11042-015-2547-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 76 2015 4 14 03 5851-5871
allfieldsSound	10.1007/s11042-015-2547-z doi (DE-627)SPR016003071 (SPR)s11042-015-2547-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Cai, Linqin verfasserin aut Human behaviors modeling in multi-agent virtual environment 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents. Virtual environment (dpeaa)DE-He213 Virtual human (dpeaa)DE-He213 Emotion (dpeaa)DE-He213 Multi-agent (dpeaa)DE-He213 Liu, Binbin verfasserin aut Yu, Jimin verfasserin aut Zhang, Jianrong verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 76(2015), 4 vom: 14. März, Seite 5851-5871 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:76 year:2015 number:4 day:14 month:03 pages:5851-5871 https://dx.doi.org/10.1007/s11042-015-2547-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 76 2015 4 14 03 5851-5871
language	English
source	Enthalten in Multimedia tools and applications 76(2015), 4 vom: 14. März, Seite 5851-5871 volume:76 year:2015 number:4 day:14 month:03 pages:5851-5871
sourceStr	Enthalten in Multimedia tools and applications 76(2015), 4 vom: 14. März, Seite 5851-5871 volume:76 year:2015 number:4 day:14 month:03 pages:5851-5871
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Virtual environment Virtual human Emotion Multi-agent
dewey-raw	070
isfreeaccess_bool	false
container_title	Multimedia tools and applications
authorswithroles_txt_mv	Cai, Linqin @@aut@@ Liu, Binbin @@aut@@ Yu, Jimin @@aut@@ Zhang, Jianrong @@aut@@
publishDateDaySort_date	2015-03-14T00:00:00Z
hierarchy_top_id	27135030X
dewey-sort	270
id	SPR016003071
language_de	englisch
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author	Cai, Linqin
spellingShingle	Cai, Linqin ddc 070 bkl 54.87 misc Virtual environment misc Virtual human misc Emotion misc Multi-agent Human behaviors modeling in multi-agent virtual environment
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topic_title	070 004 ASE 54.87 bkl Human behaviors modeling in multi-agent virtual environment Virtual environment (dpeaa)DE-He213 Virtual human (dpeaa)DE-He213 Emotion (dpeaa)DE-He213 Multi-agent (dpeaa)DE-He213
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title	Human behaviors modeling in multi-agent virtual environment
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title_sort	human behaviors modeling in multi-agent virtual environment
title_auth	Human behaviors modeling in multi-agent virtual environment
abstract	Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents.
abstractGer	Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents.
abstract_unstemmed	Abstract Human behavior Modeling and simulation has become one of the most challenging research topics in many sectors where safety and organizational complexity are key issues. This paper involves constructing an integrative behavior framework for autonomous virtual miner agents that populate believably virtual coalmine environment to simulate human behaviors of underground coalmine. In this study, we present an emotional behavior model for virtual miner based on cognitive appraisal theories. The proposed models can generate more believable behaviors in virtual environment based on the personalized emotion states, internal motivation needs, and behavior selection thresholds of virtual miners. In addition, we take into account the impacts of underground mine workers’ personality straits on the intensity threshold of emotions, the emotion’s decay, and the motivation update process. Finally, we implement an interactive virtual environment for underground human behavior simulation. The behavior believability of virtual miner was evaluated with user assessment method. Experimental results show that the proposed models can create more realistic real-time virtual coalmine environments to simulate human behavior resulting in underground accidents.
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container_issue	4
title_short	Human behaviors modeling in multi-agent virtual environment
url	https://dx.doi.org/10.1007/s11042-015-2547-z
remote_bool	true
author2	Liu, Binbin Yu, Jimin Zhang, Jianrong
author2Str	Liu, Binbin Yu, Jimin Zhang, Jianrong
ppnlink	27135030X
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s11042-015-2547-z
up_date	2024-07-03T20:06:43.575Z
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Human behaviors modeling in multi-agent virtual environment

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