Abstract
Cultural background can crucially influence human behavior. For virtual characters, that are supposed to imitate human behavior in a natural manner, integrating cultural background came into focus the recent years. Unlike earlier approaches, this paper presents a hybrid approach of modeling a Bayesian network that generates culture-specific behaviors for virtual characters. For the hybrid approach, the structure of the network is designed based on social science theories, while its parameters are derived from a video corpus.
| Original language | English |
|---|---|
| Title of host publication | 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 1395-1396 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781634391313 |
| Publication status | Published - 2014 |
| Event | 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France Duration: 5 May 2014 → 9 May 2014 |
Publication series
| Name | 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 |
|---|---|
| Volume | 2 |
Conference
| Conference | 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 |
|---|---|
| Country/Territory | France |
| City | Paris |
| Period | 5/05/14 → 9/05/14 |
Bibliographical note
Publisher Copyright:Copyright © 2014, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Keywords
- Bayesian networks
- Culture
- Nonverbal behavior
- Virtual agents
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