The study of emotions elicited by human-computer interactions is a promising field that could lead to the identification of specific patterns of affective states. We present a heart rate variability (HRV) assessment of the autonomic nervous system (ANS) response and respiratory sinus arrhythmia during PC-mediated stimuli by means of standard and multivariate autoregressive spectral methods. 35 healthy volunteers were exposed to computer-mediated tasks during data collection. The stimuli were designed to elicit: relaxation (R), engagement (E) and stress (S); half of the subjects were exposed to E before S (RES) while the other to S before E (RSE). HRV measures clearly separate the ANS response among R, S and E. Less significant differences are found between E and S in RSE, suggesting that S stimuli may cause a lasting response affecting the E period. Results from the bivariate analysis indicate a disruption of the cardio-respiratory coupling during non-relax conditions.

Magagnin, V., Mauri, M., Cipresso, P., Mainardi, L., Brown, E. N., Cerutti, S., Villamira, M., Barbieri, R., Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis, Contributed paper, in Computing in Cardiology, (Irlanda, 26-29 September 2010), CinC, Belfast, Northern Ireland 2010: 145-148 [http://hdl.handle.net/10807/75447]

Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis

Cipresso, Pietro;
2010

Abstract

The study of emotions elicited by human-computer interactions is a promising field that could lead to the identification of specific patterns of affective states. We present a heart rate variability (HRV) assessment of the autonomic nervous system (ANS) response and respiratory sinus arrhythmia during PC-mediated stimuli by means of standard and multivariate autoregressive spectral methods. 35 healthy volunteers were exposed to computer-mediated tasks during data collection. The stimuli were designed to elicit: relaxation (R), engagement (E) and stress (S); half of the subjects were exposed to E before S (RES) while the other to S before E (RSE). HRV measures clearly separate the ANS response among R, S and E. Less significant differences are found between E and S in RSE, suggesting that S stimuli may cause a lasting response affecting the E period. Results from the bivariate analysis indicate a disruption of the cardio-respiratory coupling during non-relax conditions.
Inglese
Computing in Cardiology
Computing in Cardiology 2010
Irlanda
Contributed paper
26-set-2010
29-set-2010
CinC
Magagnin, V., Mauri, M., Cipresso, P., Mainardi, L., Brown, E. N., Cerutti, S., Villamira, M., Barbieri, R., Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis, Contributed paper, in Computing in Cardiology, (Irlanda, 26-29 September 2010), CinC, Belfast, Northern Ireland 2010: 145-148 [http://hdl.handle.net/10807/75447]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/75447
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