Connecting Brains and Bodies: Applying Physiological Computing to Support Social Interaction
Year: 2015
Type: article
Abstract: Physiological and affective computing propose methods to improve human–machine interactions by adapting machines to the users’ states. Recently, social signal processing (SSP) has proposed to apply similar methods to human–human interactions with the hope of better understanding and modeling social interactions. Most of the social signals employed are facial expressions, body movements and speech, but studies using physiological signals remain scarce. In this paper, we motivate the use of physiological signals in the context of social interactions. Specifically, we review studies which have investigated the relationship between various physiological indices and social interactions. We then propose two main directions to apply physiological SSP: using physiological signals of individual users as new social cues displayed in the group and using inter-user physiology to measure properties of the interactions such as conflict and social presence. We conclude that physiological measures have the potential to enhance social interactions and to connect people.
Source: Interacting with Computers
DOI: 10.1093/iwc/iwv013
Authors: Guillaume Chanel, Christian Mühl
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2114909357