Anzeige
Erschienen in:
2009 | OriginalPaper | Buchkapitel
Predicting User Psychological Characteristics from Interactions with Empathetic Virtual Agents
verfasst von : Jennifer Robison, Jonathan Rowe, Scott McQuiggan, James Lester
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
Enabling virtual agents to quickly and accurately infer users’ psychological characteristics such as their personality could support a broad range of applications in education, training, and entertainment. With a focus on narrative-centered learning environments, this paper presents an inductive framework for inferring users’ psychological characteristics from observations of their interactions with virtual agents. Trained on traces of users’ interactions with virtual agents in the environment, psychological user models are induced from the interactions to accurately infer different aspects of a user’s personality. Further, analyses of timing data suggest that these induced models are also able to converge on correct predictions after a relatively small number of interactions with virtual agents.