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https://hdl.handle.net/10356/152453
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DC Field | Value | Language |
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dc.contributor.author | Bizzego, Andrea | en_US |
dc.contributor.author | Gabrieli, Giulio | en_US |
dc.contributor.author | Azhari, Atiqah | en_US |
dc.contributor.author | Setoh, Peipei | en_US |
dc.contributor.author | Esposito, Gianluca | en_US |
dc.contributor.editor | A. Esposito | en_US |
dc.contributor.editor | M. Faundez-Zanuy | en_US |
dc.contributor.editor | F. C. Morabito | en_US |
dc.contributor.editor | E. Pasero | en_US |
dc.date.accessioned | 2021-08-16T02:39:45Z | - |
dc.date.available | 2021-08-16T02:39:45Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | 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 | en_US |
dc.identifier.isbn | 978-981-15-5092-8 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/152453 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. All rights reserved. | en_US |
dc.subject | Social sciences::Psychology | en_US |
dc.title | Computational methods for the assessment of empathic synchrony | en_US |
dc.type | Book Chapter | en_US |
dc.contributor.school | School of Social Sciences | en_US |
dc.contributor.school | Lee Kong Chian School of Medicine (LKCMedicine) | en_US |
dc.contributor.organization | University of Trento, Italy | en_US |
dc.identifier.doi | 10.1007/978-981-15-5093-5_47 | - |
dc.description.version | Accepted version | en_US |
dc.relation.ispartofbook | Progresses in Artificial Intelligence and Neural Systems | en_US |
dc.identifier.scopus | 2-s2.0-85088480528 | - |
dc.identifier.spage | 555 | en_US |
dc.identifier.epage | 564 | en_US |
dc.subject.keywords | Empathy | en_US |
dc.subject.keywords | Physiological Synchrony | en_US |
dc.subject.keywords | Relationship | en_US |
item.grantfulltext | embargo_20230717 | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | LKCMedicine Books & Book Chapters SSS Books & Book Chapters |
Files in This Item:
File | Description | Size | Format | |
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2020 Bizzego et al WIRN.pdf Until 2023-07-17 | book chapter | 1.32 MB | Adobe PDF | Under embargo until Jul 17, 2023 |
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