2010 | OriginalPaper | Buchkapitel
Know Your Users! Empirical Results for Tailoring an Agent´s Nonverbal Behavior to Different User Groups
verfasst von : Nicole C. Krämer, Laura Hoffmann, Stefan Kopp
Erschienen in: Intelligent Virtual Agents
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Since embodied agents are considered as equally usable by all kinds of users, not much attention has been paid to the influence of users´ attributes on the evaluation of agents in general and their (nonverbal) behaviour in particular. Here, we present evidence from three empirical studies with the agent Max, which focus on the effects of participants‘ gender, age and computer literacy. The results show that all three attributes have an influence on the feelings of the participants during their interaction with Max, on the evaluation of Max, as well as on the participants‘ nonverbal behavior.