Understanding, modeling and evaluating social touch in human-machine interaction – SocialTouch
This project is at the crossroad of Human-Machine Interaction (HMI) and Emotional Design. It investigates how the sense of touch can be integrated in interactive systems to leverage communicative and emotional channels between humans and machines or between humans via machines. It focuses on a communicative modality that has been much less studied than other communication channels, namely touch, and addresses innovative topics such as the role of social touch to foster engagement or to provide intimate experience. It investigates how touch can serve to enhance human interaction with small devices, embodied conversational agents (ECAs) and Virtual Reality environments and for interpersonal mediated communication.
The project aims:
(1) To understand the principles and functions of touch as an emotional way to communicate and to predict its impact on human-machine engagement;
(2) To design novel human-machine interaction techniques to improve user experience;
(3) To evaluate the efficiency and the acceptability of social touch in two different contexts: a) interpersonal mediated communication and b) human communication with embodied conversational agent, which will allow us to compare these situations and possible differences whether agents are human or virtual.
Project coordination
Eric Lecolinet (Institut Mines-Télécom)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partner
LTCI-Télécom ParisTech Institut Mines-Télécom
CNRS- i3 Centre National de la Recherche Scientifique
ISIR Institut des Systèmes Intelligents et Robotiques
Heudiasyc Heuristique et diagnostic des systèmes complexes
Help of the ANR 682,200 euros
Beginning and duration of the scientific project:
- 42 Months