Brain correlates for Human-Virtual Agent Interaction

2 juil. 2019
Paris - Paris (France)
There is a longstanding tradition of research on the relationships between language, cognition and the human brain. Until recently, however, investigations in this domain were limited to studying language production or comprehension in talkers individually exposed to highly controlled linguistic material. Over the last few years, major advances have been simultaneously accomplished in language sciences, computer science (and more precisely human-agent interaction) cognitive sciences and neurosciences, which have brought us on the verge of a new research paradigm. Language sciences have entered a new phase as they move away from individually-administered protocols towards the characterization of how spoken language is jointly used by two or more talkers as a shared set of resources for interacting with each other. A new challenge has arisen that consists in understanding how the brains of two people speaking with each other come to being temporarily coupled. These advances now make it possible to explore language and the brain in the context in which they both primarily develop, i.e. social interactions. Despite multiple advances, neural mechanisms that underlie natural social encounter are still considered as the “dark matter” of social cognitive neuroscience. Novel paradigmatic approaches, both theoretically and experimentally, are necessary to overcome intrinsic limitations of the classical scientific approach, and to study naturally uncontrolled natural interactions. One such approach consists in using artificial agents (embodied conversational agents and humanoid robots). First of all, artificial agents can be made interactive but they don’t elicit certain mechanisms involved in natural social interactions, such as the attribution of mental states, as real people do. They can therefore be used as high-order controls to study such cognitive and physiological mechanisms involved in natural interactions like conversations. Moreover, since artificial agents provide full control of their behaviours, they can be used to replay specific verbal and nonverbal behaviors to investigate mechanisms involved in social interactions. A better understanding of the brain correlates of humans' interaction with natural and artificial agents, in particular their commonalities and differences, will enable the IVA community to explore different questions such as objective evaluation methods of the interaction, real-time detection of brain activity, automatic adaptation of the virtual agent’s behavior based on user’s cerebral activity, etc. The objective of the workshop is to gather research works on the cerebral activities related to interaction. We do not limit the workshop topic to human-virtual agent interaction, considering also the research work on human-human interaction that could be relevant to better understand the user’s experience during an interaction with a virtual agent. ● Cerebral underpinnings of interaction (human-machine but also human-human and human-environment) ● Cerebral underpinning with artificial agents (robots, virtual agents) in different environment: virtual reality, mixed reality, augmented related, etc. ● EEG or fMRI, MEG for evaluation of virtual agent ● Brain computer interface for interaction with virtual agent ● EEG in virtual reality ● New methods for investigating interaction in ecological context ● ….
Discipline scientifique : Informatique - Intelligence artificielle - Interface homme-machine - Robotique - Traitement du signal et de l'image - Sciences cognitives - Informatique - Linguistique - Neurosciences

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