Jean-Claude Martin

TL;DR: The experimental results show that subjects used visual and kinesthetic feedbacks to evaluate the pleasure and the arousal dimensions, respectively, and a link between the recognition rate of emotions expressed with the visual modality and the magnitude of that emotion's pleasure dimension is observed.

TL;DR: This work endow artificial agents with regulatory focus, taking a sociocognitive approach of personality, by using machine-learning techniques to test whether this personality can be perceived by users and if there is a regulatory fit effect on the users credibility judgement of the agent.

TL;DR: The THE AUTHORS-nner (pronounce “winner”) framework for designing an automated coach promoting physical activity is introduced which supports interactions between the user and a smart wearable that are dynamic personalized and multimodal considering features from user’s profile.

TL;DR: An original paradigm based on affective computing and virtual reality technologies requiring the assessment of helping intentions as well as self-monitoring metacognition is proposed to improve the way patients interpret other's behavior as helpful instead of menacing.

TL;DR: This article studies how people make reliable inferences regarding spontaneous emotional dimensions and personality traits of human coaches from kinematic patterns they produced when performing a fitness sequence, and contributes to both the understanding of dimensions of social perception through movement and the design of expressive virtual sport coaches.