Psychophysiological signals associated with affective states

Pietro Cipresso, Maurizio Mauri, Valentina Magagnin, Luca Mainardi, Emery N. Brown, Sergio Cerutti, Marco Villamira, Riccardo Barbieri

Risultato della ricerca: Contributo in libroContributo a convegno

49 Citazioni (Scopus)

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.
Lingua originaleEnglish
Titolo della pubblicazione ospite2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2010:3563-6 · August 2010
Pagine3563-3566
Numero di pagine4
DOI
Stato di pubblicazionePubblicato - 2010
Evento2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2010:3563-6 · August 2010 - Buenos Aires
Durata: 31 ago 20104 set 2010

Convegno

Convegno2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2010:3563-6 · August 2010
CittàBuenos Aires
Periodo31/8/104/9/10

Keywords

  • Computational Psychometrics
  • Emotions

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