Computational methods for the assessment of empathic synchrony
The synchronization of physiological signals between persons is a well-known proxy of empathy. However, it is also influenced by physiological and environmental factors that should be discriminated to correctly characterize the empathy component. We discuss a framework to compute synchrony and intro...
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sg-ntu-dr.10356-1524532023-03-05T16:41:36Z Computational methods for the assessment of empathic synchrony Bizzego, Andrea Gabrieli, Giulio Azhari, Atiqah Setoh, Peipei Esposito, Gianluca A. Esposito M. Faundez-Zanuy F. C. Morabito E. Pasero School of Social Sciences Lee Kong Chian School of Medicine (LKCMedicine) University of Trento, Italy Social sciences::Psychology Empathy Physiological Synchrony Relationship The synchronization of physiological signals between persons is a well-known proxy of empathy. However, it is also influenced by physiological and environmental factors that should be discriminated to correctly characterize the empathy component. We discuss a framework to compute synchrony and introduce physynch, an open-source package developed to easily replicate its computational procedures. We adopted physynch to study the synchrony of the electrodermal activity in 61 male-female dyads with different types of relationship: strangers (18 dyads), friends (23 dyads) and lovers (20 dyads). The findings confirm previous results on Heart Rate Variability synchrony and suggest that synchrony is influenced by the type of relationship and is stronger in dyads of strangers. physynch is made available for download and use for researchers interested in measuring physiological synchrony. Accepted version 2021-08-16T02:39:45Z 2021-08-16T02:39:45Z 2021 Book Chapter Bizzego, A., Gabrieli, G., Azhari, A., Setoh, P. & Esposito, G. (2021). Computational methods for the assessment of empathic synchrony. A. Esposito, M. Faundez-Zanuy, F. C. Morabito & E. Pasero (Eds.), Progresses in Artificial Intelligence and Neural Systems (pp. 555-564). Springer Nature. https://hdl.handle.net/10356/152453 978-981-15-5092-8 https://hdl.handle.net/10356/152453 10.1007/978-981-15-5093-5_47 2-s2.0-85088480528 555 564 en Progresses in Artificial Intelligence and Neural Systems © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. All rights reserved. application/pdf Springer Nature |
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Social sciences::Psychology Empathy Physiological Synchrony Relationship Bizzego, Andrea Gabrieli, Giulio Azhari, Atiqah Setoh, Peipei Esposito, Gianluca Computational methods for the assessment of empathic synchrony |
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The synchronization of physiological signals between persons is a well-known proxy of empathy. However, it is also influenced by physiological and environmental factors that should be discriminated to correctly characterize the empathy component. We discuss a framework to compute synchrony and introduce physynch, an open-source package developed to easily replicate its computational procedures. We adopted physynch to study the synchrony of the electrodermal activity in 61 male-female dyads with different types of relationship: strangers (18 dyads), friends (23 dyads) and lovers (20 dyads). The findings confirm previous results on Heart Rate Variability synchrony and suggest that synchrony is influenced by the type of relationship and is stronger in dyads of strangers. physynch is made available for download and use for researchers interested in measuring physiological synchrony. |
author2 |
A. Esposito |
author_facet |
A. Esposito Bizzego, Andrea Gabrieli, Giulio Azhari, Atiqah Setoh, Peipei Esposito, Gianluca |
format |
Book Chapter |
author |
Bizzego, Andrea Gabrieli, Giulio Azhari, Atiqah Setoh, Peipei Esposito, Gianluca |
author_sort |
Bizzego, Andrea |
title |
Computational methods for the assessment of empathic synchrony |
title_short |
Computational methods for the assessment of empathic synchrony |
title_full |
Computational methods for the assessment of empathic synchrony |
title_fullStr |
Computational methods for the assessment of empathic synchrony |
title_full_unstemmed |
Computational methods for the assessment of empathic synchrony |
title_sort |
computational methods for the assessment of empathic synchrony |
publisher |
Springer Nature |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/152453 |
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1759858315985158144 |