Affect listeners: acquisition of affective states by means of conversational systems

Authors:
Marcin Skowron
Affiliations:
Austrian Research Institute for Artificial Intelligence, Vienna, Austria
Venue:
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Year:
2009

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Abstract

We present the concept and motivations for the development of Affect Listeners, conversational systems aiming to detect and adapt to affective states of users, and meaningfully respond to users’ utterances both at the content- and affect-related level. In this paper, we describe the system architecture and the initial set of core components and mechanisms applied, and discuss the application and evaluation scenarios of Affect Listener systems.