When interacting with others, we form an impression that can be declined along the two psychological dimensions of warmth and competence. By managing them, high level of engagement in an interaction can be maintained and reinforced. Our aim is to develop a virtual agent that can form and maintain a positive impression on the user that can help in improving the quality of the interaction and the users experience. In this paper, we present an interactive system in which a virtual agent adopts a dynamic communication strategy during the interaction with a user, aiming at forming and maintaining a positive impression of warmth and competence. The agent continuously analyzes users non-verbal signals to determine users engagement level and adapts its communication strategy accordingly. We present a study in which we manipulate the communication strategy of the agent and we measure users experience and users perception of the agents warmth and competence.
Managing agents impression based on users engagement detection / Mancini, M.; Biancardi, B.; Dermouche, S.; Lerner, P.; Pelachaud, C.. - (2019), pp. 209-211. (Intervento presentato al convegno 19th ACM International Conference on Intelligent Virtual Agents, IVA 2019 tenutosi a Paris) [10.1145/3308532.3329442].
Managing agents impression based on users engagement detection
Mancini M.
;Pelachaud C.
2019
Abstract
When interacting with others, we form an impression that can be declined along the two psychological dimensions of warmth and competence. By managing them, high level of engagement in an interaction can be maintained and reinforced. Our aim is to develop a virtual agent that can form and maintain a positive impression on the user that can help in improving the quality of the interaction and the users experience. In this paper, we present an interactive system in which a virtual agent adopts a dynamic communication strategy during the interaction with a user, aiming at forming and maintaining a positive impression of warmth and competence. The agent continuously analyzes users non-verbal signals to determine users engagement level and adapts its communication strategy accordingly. We present a study in which we manipulate the communication strategy of the agent and we measure users experience and users perception of the agents warmth and competence.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.