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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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Document Type:Report
Author:Fabian Krueger, Sven Seele, Rainer Herpers, Peter Becker
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 (Multiple languages):License LogoIn Copyright (Urheberrechtsschutz)