TY  - CONF
AU  - Streck, Adam
AU  - Wolbers, Thomas
TI  - Using Discrete Time Markov Chains for Control of Idle Character Animation
PB  - IEEE
M1  - DZNE-2022-01063
SP  - 1-4
PY  - 2018
AB  - 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.
T2  - IEEE Conference on Computational Intelligence and Games (CIG)
CY  - 14 Aug 2018 - 17 Aug 2018, Maastricht (Netherlands)
Y2  - 14 Aug 2018 - 17 Aug 2018
M2  - Maastricht, Netherlands
LB  - PUB:(DE-HGF)8
DO  - DOI:10.1109/CIG.2018.8490450
UR  - https://pub.dzne.de/record/164511
ER  -