Human behaviors are based on a set of sensorimotor and cognitive processes that allow interaction with the physical, technological and/or social environment. The study of the regulation of these behaviors and the underlying cognitive processes is at the center of the team’s work.
In this axis, we rely on the idea that our brain uses representations (i.e. internal models) of the body and the environment to perceive, decide, anticipate and act. The main objective will be to determine how these representations are updated when sensory (visual, tactile, proprioceptive, vestibular, and/or nociceptive) or dynamic (application of force) predictable or unpredictable perturbations disrupt the execution of a movement. The diversity of external perturbations, tasks and populations tested is used to determine the universality and robustness of control laws involved in decision making, planning, execution and learning of movement. By placing sensorimotor learning at the heart of this problem, this work allows us to envisage applications in the medical field, whether in the context of prevention or rehabilitation.
Axis 2: Interactions between individuals. Coordinator: Sandrine Gil
An adapted interpersonal interaction requires to process a panel of information which are both self-dependent representations (i.e., stemming from one’s sensory-motor skills, from one’s cognitive skills and/or from one’s expectations regarding the interaction) and from those related to the feedback which governs any form of interaction and which depend on others – others being themselves constrained by those same skills. Thus, the objective of the work carried out in this axis is to study the determinants of the interaction between individuals. On the one hand, we will study the understanding of cues emitted by others (i.e., perception of others’ actions, language pragmatics, emotions). On the other hand, we will examine how this understanding determines the behaviors emitted by the individual (i.e., the question of learning, or even training) and, in turn, how these behaviors influence those of others. By understanding the typical mechanisms of inter-personal interaction, this work allows us to consider applications in the medical field related to certain interaction disorders (e.g., Autism Spectrum Disorders) or in close connection with Axis 3, as a reference for the knowledge of human-human interaction
The objective of this axis is to study the impact of different modalities of interaction between humans and digital systems on the realization of finalized activities. Digital systems, whether software or physical (e.g., robotics), participate in the realization of goal-oriented tasks, either as an interface or by actively collaborating with humans. We study both the modalities of joint work (e.g., slaving, delegation, supervision) and the nature of the information exchanged (e.g., visual information, verbal communication, haptic feedback) that contribute to the success of the task by evaluating and optimizing the associated cognitive parameters: mental load, situational awareness, confidence, emotional and attentional engagement.
Experimental work in this area uses immersive interfaces such as virtual reality, haptic interfaces or natural dialogue to improve the control of autonomous systems, using feedback to guide action (e.g., force feedback), to assist reasoning and complex decision making (e.g., auditory feedback, visual feedback) or to build a common representation of the situation between two communicating partners (e.g., emotional feedback). The targeted applications are those related to industry 4.0, immersive training and digital twins, new forms of interactions (extended reality, XR) as well as dialogue and trust in systems based on artificial intelligence: conversational interfaces, semi-autonomous vehicles, etc.
"Interactions: Sensorimotor and Communication" team
By clicking on the name of one of the members of the research team one may access their personal home page.
Cléo Bangoura (PhD Student)
Romain Bechet (PhD Student) co-encadrement Romain Tisserand, F. Colloud et L. Fadet – Laboratoire PPrime Université de Poitiers