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Effects of Narrative Identities and Attachment Style on the Individual’s Ability to Categorize Emotional Voices

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Advances in Neural Networks: Computational and Theoretical Issues

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 37))


This research aimed to assess individual’s abilities in decoding emotional vocal expressions according to attachment styles and Narrative Identities. To this aims 30 students (15 females, 15 males; mean age = 21.4 ± 2.47) were recruited at the Second University of Naples (Italy) and underwent an emotional-voice-decoding task after being tested through the “Experience in Close Relationships” (ECR) and Personality Meaning (PMQ) Questionnaire to assess their attachment styles and Narrative Identities. The results showed that Outward subjects were more accurate in decoding joy and surprise especially in the group of individuals with an Insecure attachment style, suggesting that emotional regulation dynamics and attachment parameters shape the ways individuals develop their ability to decode other emotional feelings.

The names of the authors are in alphabetic order since each made a significant contribution to the research reported.

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Esposito, A., Palumbo, D., Troncone, A. (2015). Effects of Narrative Identities and Attachment Style on the Individual’s Ability to Categorize Emotional Voices. In: Bassis, S., Esposito, A., Morabito, F. (eds) Advances in Neural Networks: Computational and Theoretical Issues. Smart Innovation, Systems and Technologies, vol 37. Springer, Cham.

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  • Print ISBN: 978-3-319-18163-9

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