Werewolves, cheats, and cultural sensitivity

Ruth Aylett, Mei Yii Lim, Lynn Hall, Sarah Tazzyman, Birgit Endrass, Elisabeth Andre, Christopher Michel Ritter, Asad Nazir, Ana Paiva, GertJan Hofstede, Arvid Kappas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

This paper discusses the design and evaluation of the system MIXER (Moderating Interactions for Cross-Cultural Empathic Relationships), which applies a novel approach to the education of children in cultural sensitivity. MIXER incorporates intelligent affective and interactive characters, including a model of a Theory of Mind mechanism, in a simulated virtual world. We discuss the relevant pedagogical approaches, related work, the underlying mind model used for MIXER agents as well as its innovative interaction interface utilising a tablet computer and a pictorial interaction language. We then consider the evaluation of the system, whether this shows it met its pedagogical objectives, and what can be learned from our results.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014)
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Pages1085-1092
Number of pages8
ISBN (Print)9781634391313
Publication statusPublished - May 2014
Event13th International Conference on Autonomous Agents and Multiagent Systems 2014 - Paris, France
Duration: 5 May 20149 May 2014

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems 2014
Abbreviated titleAAMAS 2014
Country/TerritoryFrance
CityParis
Period5/05/149/05/14

Keywords

  • Cultural sensitivity
  • Emotion and social/cultural behaviour
  • Empathy
  • Intelligent virtual agents
  • Models of personality
  • Synthetic characters

ASJC Scopus subject areas

  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Werewolves, cheats, and cultural sensitivity'. Together they form a unique fingerprint.

Cite this