This paper demonstrates the integration and evaluation of different atmosphere models into Virtual Reality (VR) training for teacher education. We developed three behaviour models to simulate different levels of class discipline. We evaluated their performances using a combination of objective and subjective measurements. Our
initial results suggest that the more believable and distinguishable classroom atmospheres are produced by creating more consistent behaviours across virtual students. Our results confirm the importance of similar behaviours to elicit a particular atmosphere.
|Name||AAMAS Electronic Proceedings|
|Conference||17th International Conference on Autonomous Agents and Multiagent Systems|
|Abbreviated title||AAMAS 2018|
|Period||10/07/18 → 15/07/18|
Authors can archive the published versions of AAMAS papers on institutional repositories after the conference, [email 01/05/18]