Affiliation is both an antecedent and a consequence of emotional mimicry (i.e. imitating a counterpart’s emotional expression). Thus, interacting with a disliked partner can decrease emotional mimicry, which in turn can further decrease liking. This perpetuating circle has not been investigated in the context of mental health stigma yet. The present study tested the influence of the label “schizophrenia” on liking, interpersonal closeness, and emotional mimicry. In an online experiment (n = 201), participants recruited from the general population saw several (...) videos of actors displaying emotional expressions. Actors were described with one of four labels: “schizophrenia”, “healthy”, “diabetes”, and a negative adjective (e.g. “hot-tempered”). Emotional mimicry was measured using OpenFace 2.2. Liking and interpersonal closeness were assessed with questionnaires. Overall, compared to other labels, participants reported less liking and interpersonal closeness to the actor with the schizophrenia label. However, no effect on emotional mimicry was found. The decreased liking of the schizophrenia actors was explained by a lack of knowledge about schizophrenia and the explicit stigma of schizophrenia. Our study contributes to the literature by highlighting the need to reduce the stigma of schizophrenia. (shrink)

Based on studies with infants, we expand on Stoffregen & Bardy's explanation of perceptual motor errors, given the global array. Information pick-up from the global array is not sufficient without adequate exploratory movements and learning to support perceptually guided activity.

Bodily expression of felt emotion has been documented in the literature. However, it is often associated with high motor variability between individuals. This study aimed to identify individual motor signature of emotions. IMS is a new method of motion analysis and visualization able to capture the subtle differences in the way each of us moves, seen as a kinematic fingerprint. We hypothesized that the individual motor signature would be different depending on the induced emotional state and that an emotional motor (...) signature of joy and sadness common to all participants would emerge. For that purpose, we elicited these emotions in 26 individuals using an autobiographical memory paradigm, before they performed a motor improvization task. We extracted the individual motor signature under each emotional condition. Participants completed a self-report emotion before and after each trial. Comparing the similarity indexes of intra- and inter-emotional condition signatures, we confirmed our hypothesis and showed the existence of a specific motor signature for joy and sadness, allowing us to introduce the notion of emotional individual motor signature. Our study indicates that EIMS can reinforce emotion discrimination and constitutes the first step in modeling emotional behavior during individual task performances or social interactions. (shrink)

Here, we propose that bidirectionality in implicit motor coordination between humanoid robots and humans could enhance the social competence of human–robot interactions. We first detail some questions pertaining to human–robot interactions, introducing the Uncanny Valley hypothesis. After introducing a framework pertinent for the understanding of natural social interactions, motor resonance, we examine two behaviors derived from this framework: motor coordination, investigated in and informative about human–human interaction, and motor interference, which demonstrate the relevance of the motor resonance framework to describe (...) human perception of humanoid robots. These two lines of investigation are then put together to “close the loop” by proposing to implement a key feature of motor coordination, bidirectionality, in robots’ behavior. Finally, we discuss the feasibility of implementing motor coordination between humanoid robots and humans, and the consequences of this implementation in enhancing the social competence of robots interacting with humans. Keywords: interpersonal interaction, motor resonance, motor coordination, motor interference, social robotics, anthropomorphism. (shrink)

Dijkerman & de Haan (D&dH) study perception and action as two independent processes. However, in all daily activities the processes are completely intertwined, so it is difficult to separate one from the other. Humans perceive in order to move and also move in order to perceive. Understanding first how perception and action are coordinated, leads us then to determine how each component works independently.

Although robots can contribute to the understanding of biological behavior, they fail to model the processes by which humans cope with their environment. Both development and learning are characterized by complex relationships that require constant modification. Given present technology, robots can only model behaviors in specific situations and during discrete stages. Robots cannot master the complex relationships that are the hallmark of human behavior.