TY - RPRT U1 - Verschiedenartige Texte A1 - Krueger, Fabian A1 - Seele, Sven A1 - Herpers, Rainer A1 - Becker, Peter T1 - Dynamic Emotional States based on Personality Profiles for Adaptive Agent Behavior Patterns N2 - 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. T3 - Technical Report / Hochschule Bonn-Rhein-Sieg University of Applied Sciences. Department of Computer Science - 02-2013 KW - Personality KW - Emotion KW - Agents KW - Virtual Reality KW - Adaptive Behavior KW - Five Factor Model KW - Virtuelle Realität Y2 - 2013 UN - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-169 SN - 1869-5272 SS - 1869-5272 SN - 978-3-96043-011-7 SB - 978-3-96043-011-7 U6 - https://doi.org/10.18418/978-3-96043-011-7 DO - https://doi.org/10.18418/978-3-96043-011-7 N1 - The FIVIS and AVESI project recieved funding from different sources which theauthors would like to acknowledge. FIVIS project was originally fundedby theBMBF-FH program FH3, funding for the FIVIS II project was provided bythe DGUV (German Social Accident Insurance) grant FP 307, and the AVeSiproject is being funded by the FHprofUnt program of the BMBF (17028X11). SP - 18 S1 - 18 ER -