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...

Full description

Saved in:
Bibliographic Details
Main Authors: Bizzego, Andrea, Gabrieli, Giulio, Azhari, Atiqah, Setoh, Peipei, Esposito, Gianluca
Other Authors: A. Esposito
Format: Book Chapter
Language:English
Published: Springer Nature 2021
Subjects:
Online Access:https://hdl.handle.net/10356/152453
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-152453
record_format dspace
spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Psychology
Empathy
Physiological Synchrony
Relationship
spellingShingle 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
description 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
_version_ 1759858315985158144