Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152453
Title: Computational methods for the assessment of empathic synchrony
Authors: Bizzego, Andrea
Gabrieli, Giulio
Azhari, Atiqah
Setoh, Peipei
Esposito, Gianluca
Keywords: Social sciences::Psychology
Issue Date: 2021
Publisher: Springer Nature
Source: 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
Abstract: 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.
URI: https://hdl.handle.net/10356/152453
ISBN: 978-981-15-5092-8
DOI: 10.1007/978-981-15-5093-5_47
Rights: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. All rights reserved.
Fulltext Permission: embargo_20230717
Fulltext Availability: With Fulltext
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  Until 2023-07-17
book chapter1.32 MBAdobe PDFUnder embargo until Jul 17, 2023

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