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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 that allows findings from real-life personality studies to be transferred to a computational model. Adaptive behavior patterns are enabled by introducing dynamic event-based emotions. The advantages of this model have been validated using 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. The results show that adding a dynamic factor to agents improves perceivable plausibility and realism.

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Metadaten
Document Type:Conference Object
Language:English
Author:Fabian Krueger, Sven Seele, Rainer Herpers, Christian Bauckhage, Peter Becker
Parent Title (Multiple languages):Zachmann, Weller et al. (Hg.): Virtuelle und Erweiterte Realit├Ąt. 11. Workshop der GI-Fachgruppe VR/AR. GI VRAR 2014. Bremen im September 2014
First Page:73
Last Page:84
ISBN:978-3-8440-3054-9
Publisher:Shaker
Place of publication:Aachen
Date of first publication:2014/09/16
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Entry in this database:2015/04/02