Psychophysiological signals associated with affective states
Name
Brown-2010-Psychophysiological signals.pdf
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537.71 KB
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Author(s)
Mauri, Maurizio
Magagnin, Valentina
Cipresso, Pietro
Mainardi, Luca
Brown, Emery N.
Cerutti, Sergio
Villamira, Marco
Barbieri, Riccardo
Date Issued
September 2010
Journal
Proceedings of the 32nd Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (EMBC 2010)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Mauri, Maurizio et al. "Psychophysiological signals associated with affective states." Proceedings of the 32nd Annual International Conference of the IEEE EMBS Buenos Aires, Argentina, August 31-September 4, IEEE, 2010. 3563–3566. © 2010 IEEE.
Version
Final published version
Abstract
We present a preliminary quantitative study aimed at developing an optimal standard protocol for automatic classification of specific affective states as related to human- computer interactions. This goal is mainly achieved by comparing standard psychological test-reports to quantitative measures derived from simultaneous non-invasive acquisition of psychophysiological signals of interest, namely respiration, galvanic skin response, blood volume pulse, electrocardiogram and electroencephalogram. Forty-three healthy students were exposed to computer-mediated stimuli, while wearable non-invasive sensors were applied in order to collect the physiological data. The stimuli were designed to elicit three distinct affective states: relaxation, engagement and stress. In this work we report how our quantitative analysis has helped in redefining important aspects of the protocol, and we show preliminary findings related to the specific psychophysiological patterns correlating with the three target affective states. Results further suggest that some of the quantitative measures might be useful in characterizing specific affective states.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/IEMBS.2010.5627465
