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Modélisation des stratégies verbales d'engagement dans les interactions humain-agent

Abstract : In human-agent interaction the engagement of the user is an essential aspect to complete the goal of the interaction. In this thesis we study how the user’s engagement could be favoured by the agent’s behaviour. We thereby focus on the agent’s verbal behaviour considering strategies that regard respectively the form, timing, and content of utterances : We present empirical studies that regard (aspects of) the agent’s politeness behaviour, interruption behaviour, and the topics that the agent addresses in the interaction. Based on the outcomes of the latter study we propose an engagement-driven Topic Manager (computational model) that personalises the topics of an interaction in human-agent information-giving chat. The Topic Selection component of the Topic Manager decides what the agent should talk about and when. For this it takes into account the agent’s dynamically updated perception of the user as well as the agent’s own mental state. The Topic Transition component of the Topic Manager, based upon an empirical study, computes how the agent should introduce the topics in the ongoing interaction without loosing the coherence of the interaction. We implemented and evaluated the Topic Manager in a conversational virtual agent that plays the role of a visitor in amuseum.
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Submitted on : Wednesday, September 27, 2017 - 10:12:38 AM
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  • HAL Id : tel-01595948, version 1


Nadine Glas. Modélisation des stratégies verbales d'engagement dans les interactions humain-agent. Interface homme-machine [cs.HC]. Télécom ParisTech, 2016. Français. ⟨NNT : 2016ENST0047⟩. ⟨tel-01595948⟩



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