Impact of Personality on the Recognition of Emotion Expressed via Human, Virtual, and Robotic Embodiments

International audienceIn this paper, we describe the elaboration and thevalidation of a body and face database1, of 96 videos of 1to 2 seconds of duration, expressing 4 emotions (i.e., anger,happiness, fear, and sadness) elicited through 4 platforms ofincreased visual complexity and level of embodiment. The finalaim of this database is to develop an individualized trainingprogram designed for individuals suffering of autism in orderto help them recognize various emotions on different testplatforms: two robots, a virtual agent, and a human. Beforeassessing the recognition capabilities of individuals with ASD,we validated our video database on typically developed individuals(TD). Moreover, we also looked at the relationship betweenthe recognition rate and their personality traits (extroverted(EX) vs. introverted (IN)). We found that the personality ofour TD participants did not lead to a different recognitionbehavior. However, introverted individuals better recognizedemotions from less visually complex characters than extrovertedindividuals