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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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2012
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| Online Access: | http://hdl.handle.net/1721.1/70048 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X |
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| author | Mauri, Maurizio Magagnin, Valentina Cipresso, Pietro Mainardi, Luca Brown, Emery N. Cerutti, Sergio Villamira, Marco Barbieri, Riccardo |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Mauri, Maurizio Magagnin, Valentina Cipresso, Pietro Mainardi, Luca Brown, Emery N. Cerutti, Sergio Villamira, Marco Barbieri, Riccardo |
| author_sort | Mauri, Maurizio |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:20:29Z |
| format | Article |
| id | mit-1721.1/70048 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:20:29Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/700482022-09-29T14:21:33Z Psychophysiological signals associated with affective states Mauri, Maurizio Magagnin, Valentina Cipresso, Pietro Mainardi, Luca Brown, Emery N. Cerutti, Sergio Villamira, Marco Barbieri, Riccardo Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Brown, Emery N. Brown, Emery N. Barbieri, Riccardo 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. National Institutes of Health (U.S.) (Grant R01-HL084502) National Institutes of Health (U.S.) (Grant DP1-OD003646) 2012-04-18T16:04:44Z 2012-04-18T16:04:44Z 2010-09 2010-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-4123-5 1557-170X INSPEC Accession Number: 11659980 http://hdl.handle.net/1721.1/70048 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. 21096828 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X en_US http://dx.doi.org/10.1109/IEMBS.2010.5627465 Proceedings of the 32nd Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (EMBC 2010) 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Mauri, Maurizio Magagnin, Valentina Cipresso, Pietro Mainardi, Luca Brown, Emery N. Cerutti, Sergio Villamira, Marco Barbieri, Riccardo Psychophysiological signals associated with affective states |
| title | Psychophysiological signals associated with affective states |
| title_full | Psychophysiological signals associated with affective states |
| title_fullStr | Psychophysiological signals associated with affective states |
| title_full_unstemmed | Psychophysiological signals associated with affective states |
| title_short | Psychophysiological signals associated with affective states |
| title_sort | psychophysiological signals associated with affective states |
| url | http://hdl.handle.net/1721.1/70048 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X |
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