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Connecting Brains and Bodies: Applying Physiological Computing to Support Social Interaction

Guillaume, Ch. and Mühl, C. (2015) Connecting Brains and Bodies: Applying Physiological Computing to Support Social Interaction. Interacting with Computers, 27 (5), pp. 534-550. Oxford University Press. doi: 10.1093/iwc/iwv013. ISSN 0953-5438.

Full text not available from this repository.

Official URL: http://iwc.oxfordjournals.org/content/early/2015/04/29/iwc.iwv013.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.

Item URL in elib:https://elib.dlr.de/99447/
Document Type:Article
Title:Connecting Brains and Bodies: Applying Physiological Computing to Support Social Interaction
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Journal or Publication Title:Interacting with Computers
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 534-550
Publisher:Oxford University Press
Keywords:Collaborative interaction; Collaborative and social computing; Human-centered computing; Law social en behavioral sciences; Affective computing; Physiological computing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Human factors and safety in Aeronautics (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Aerospace Medicine > Flight Physiology
Deposited By: Sender, Alina
Deposited On:19 Nov 2015 12:04
Last Modified:10 May 2016 23:34

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