Caroline Langlet

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This paper introduces a sentiment analysis method suitable to the human-agent and face-to-face interactions. We present the positioning of our system and its evaluation protocol according to the existing sentiment analysis literature and detail how the proposed system integrates the human-agent interaction issues. Finally, we provide an in-depth analysis of(More)
In this paper, we propose a computational model that provides an Embodied Conversational Agent (ECA) with the ability to generate verbal other-repetition (repetitions of some of the words uttered in the previous user speaker turn) when interacting with a user in a museum setting. We focus on the generation of other-repetitions expressing emotional stances(More)
This paper tackles the issue of the detection of user’s verbal expressions of likes and dislikes in a human-agent interaction. We present a system grounded on the theoretical framework provided by (Martin and White, 2005) that integrates the interaction context by jointly processing agent’s and user’s utterances. It is designed as a rule-based and bottom-up(More)
This paper tackles the issue of user’s attitudinal expressions in an human-agent interaction. It introduces a method for analysing the user’s anwers to the agent’s yes/no questions about attitude. In order to build a user model, this method relies on a formalization of the agent’s questions and a linguistic analysis of the user’s answer. This formalization(More)
Arousal anxiety has a great impact on reaction time, physiological parameters and motor performance. Numerous studies have focused on the influence of anxiety on muscular activity during simple non ecologic task. We investigate the impact of a moderate state-anxiety (arousal stressor) on the specific component of a complex multi-joint ecologic movement(More)
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