Psychophysiological signals associated with affective states

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 de...

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Bibliographic Details
Published in2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Vol. 2010; pp. 3563 - 3566
Main Authors Mauri, M, Magagnin, V, Cipresso, P, Mainardi, L, Brown, E N, Cerutti, S, Villamira, M, Barbieri, R
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2010
Subjects
Adult
Affect - physiology
Brain - physiology
Correlation
Diagnosis, Computer-Assisted - methods
Electroencephalography
Emotions - classification
Emotions - physiology
Female
Galvanic Skin Response - physiology
Hafnium
Heart Rate - physiology
Humans
Indexes
Male
Man-Machine Systems
Protocols
Psychology
Respiratory Mechanics - physiology
Stress
User-Computer Interface
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Summary: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.
ISBN:1424441234
9781424441235
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2010.5627465