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Dynamic Emotional States based on Personality Profiles for Adaptive Agent Behavior Patterns

  • Realism and plausibility of computer controlled entities in entertainment software have been enhanced by adding both static personalities and dynamic emotions. Here a generic model is introduced which allows the transfer of findings from real-life personality studies to a computational model. This information is used for decision making. The introduction of dynamic event-based emotions enables adaptive behavior patterns. The advantages of this new model have been validated with a four-way crossroad in a traffic simulation. Driving agents using the introduced model enhanced by dynamics were compared to agents based on static personality profiles and simple rule-based behavior. It has been shown that adding an adaptive dynamic factor to agents improves perceivable plausibility and realism. It also supports coping with extreme situations in a fair and understandable way.

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Metadaten
Document Type:Report
Language:English
Pagenumber:18
ISBN:978-3-96043-011-7
ISSN:1869-5272
URN:urn:nbn:de:hbz:1044-opus-169
DOI:https://doi.org/10.18418/978-3-96043-011-7
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2013/08/01
Series (Volume):Technical Report / Hochschule Bonn-Rhein-Sieg - University of Applied Sciences, Department of Computer Science (02-2013)
Tag:Adaptive Behavior; Agents; Emotion; Five Factor Model; Personality; Virtual Reality
GND Keyword:Virtuelle Realität
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2013/08/01
Licence (German):License Logokostenfreier Zugang, Rechte vorbehalten