Abstract
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.
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.
Original language | English |
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Title of host publication | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 2236-2238 |
Number of pages | 3 |
ISBN (Electronic) | 9781450356497 |
ISBN (Print) | 9781510868083 |
Publication status | Published - 16 Jul 2018 |
Event | 17th International Conference on Autonomous Agents and Multiagent Systems - Stockholm, Sweden Duration: 10 Jul 2018 → 15 Jul 2018 |
Publication series
Name | AAMAS Electronic Proceedings |
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ISSN (Electronic) | 2523-5699 |
Conference
Conference | 17th International Conference on Autonomous Agents and Multiagent Systems |
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Abbreviated title | AAMAS 2018 |
Country/Territory | Sweden |
City | Stockholm |
Period | 10/07/18 → 15/07/18 |