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EnglishThe 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]
| Autori: | ||
| Titolo: | Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis | |
| Data di pubblicazione: | 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. | |
| Lingua: | Inglese | |
| Titolo del libro: | Computing in Cardiology | |
| Editore: | CinC | |
| Nome del convegno: | Computing in Cardiology 2010 | |
| Luogo del convegno: | Irlanda | |
| Data inizio evento: | 2010-09-26 | |
| Data fine evento: | 2010-09-29 | |
| Tipo di contributo: | Contributed paper | |
| Citazione: | 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] | |
| Appare nelle tipologie: | Paper, Selected paper, Contributed paper, Working paper, Poster, Poster paper, Comunicazione, Relazione (in volume) |
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