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| 001 | 164511 | ||
| 005 | 20231213121722.0 | ||
| 024 | 7 | _ | |2 doi |a 10.1109/CIG.2018.8490450 |
| 037 | _ | _ | |a DZNE-2022-01063 |
| 100 | 1 | _ | |0 P:(DE-2719)2812503 |a Streck, Adam |b 0 |e First author |u dzne |
| 111 | 2 | _ | |a IEEE Conference on Computational Intelligence and Games (CIG) |c Maastricht |d 2018-08-14 - 2018-08-17 |w Netherlands |
| 245 | _ | _ | |a Using Discrete Time Markov Chains for Control of Idle Character Animation |
| 260 | _ | _ | |b IEEE |c 2018 |
| 300 | _ | _ | |a 1-4 |
| 336 | 7 | _ | |2 ORCID |a CONFERENCE_PAPER |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
| 336 | 7 | _ | |2 BibTeX |a INPROCEEDINGS |
| 336 | 7 | _ | |2 DRIVER |a conferenceObject |
| 336 | 7 | _ | |2 DataCite |a Output Types/Conference Paper |
| 336 | 7 | _ | |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |a Contribution to a conference proceedings |b contrib |m contrib |s 1702460487_20234 |
| 520 | _ | _ | |a The behavior of autonomous characters in virtual environments is usually described via a complex deterministic state machine or a behavior tree driven by the current state of the system. This is very useful when a high level of control over a character is required, but it arguably does have a negative effect on the illusion of realism in the decision making process of the character. This is particularly prominent in cases where the character only exhibits idle behavior, e.g. a student sitting in a classroom. In this article we propose the use of discrete time Markov chains as the model for defining realistic non-interactive behavior and describe how to compute decision probabilities to normalize by the length of individual actions. Lastly, we argue that those allow for more precise calibration and adjustment for the idle behavior model then the models being currently employed in practice. |
| 536 | _ | _ | |0 G:(DE-HGF)POF3-344 |a 344 - Clinical and Health Care Research (POF3-344) |c POF3-344 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Conference |
| 700 | 1 | _ | |0 P:(DE-2719)2810583 |a Wolbers, Thomas |b 1 |e Last author |u dzne |
| 773 | _ | _ | |a 10.1109/CIG.2018.8490450 |
| 856 | 4 | _ | |u https://pub.dzne.de/record/164511/files/DZNE-2022-01063_Restricted.pdf |
| 856 | 4 | _ | |u https://pub.dzne.de/record/164511/files/DZNE-2022-01063_Restricted.pdf?subformat=pdfa |x pdfa |
| 909 | C | O | |o oai:pub.dzne.de:164511 |p VDB |
| 910 | 1 | _ | |0 I:(DE-588)1065079516 |6 P:(DE-2719)2812503 |a Deutsches Zentrum für Neurodegenerative Erkrankungen |b 0 |k DZNE |
| 910 | 1 | _ | |0 I:(DE-588)1065079516 |6 P:(DE-2719)2810583 |a Deutsches Zentrum für Neurodegenerative Erkrankungen |b 1 |k DZNE |
| 913 | 1 | _ | |0 G:(DE-HGF)POF3-344 |1 G:(DE-HGF)POF3-340 |2 G:(DE-HGF)POF3-300 |3 G:(DE-HGF)POF3 |4 G:(DE-HGF)POF |a DE-HGF |b Gesundheit |l Erkrankungen des Nervensystems |v Clinical and Health Care Research |x 0 |
| 914 | 1 | _ | |y 2018 |
| 920 | 1 | _ | |0 I:(DE-2719)1310002 |k AG Wolbers |l Aging, Cognition and Technology |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-2719)1310002 |
| 980 | _ | _ | |a UNRESTRICTED |
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