Assessing Perspective-Taking in Texts: Inspirations for Analytical Targets from Socio-Cognitive Narrative Coding Schemes

Paul Compensis


Abstract
Inferring interpersonal processes such as perspective-taking and empathy from text is a valuable yet not widely developed tool to study inter-individual differences in social interaction. Going beyond lexical categorization, more pragmatically ori-ented classification procedures can profit from insights from traditional qualitative tools in social-cognitive research, espe-cially narrative coding. In this short paper, I briefly discuss the concept of perspective-taking and its points of contact with language. I then illustrate a specific narrative coding sys-tem (Feffer’s decentring scales) and make suggestions as to how this system offers targets for automatized classification procedures, offering impulses for the integration of natural language processing and research into social interaction.
Anthology ID:
2025.nlpsi-1.4
Volume:
Proceedings of the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM ’25
Month:
June
Year:
2025
Address:
Copenhagen, Denmark
Editors:
Aswathy Velutharambath, Sofie Labat, Neele Falk, Flor Miriam Plaza-del-Arco, Roman Klinger, Véronique Hoste
Venues:
NLPSI | WS
SIG:
Publisher:
Association for the Advancement of Artificial Intelligence (www.aaai.org)
Note:
Pages:
39–44
Language:
URL:
https://aclanthology.org/2025.nlpsi-1.4/
DOI:
10.36190/2025.37
Bibkey:
Cite (ACL):
Paul Compensis. 2025. Assessing Perspective-Taking in Texts: Inspirations for Analytical Targets from Socio-Cognitive Narrative Coding Schemes. In Proceedings of the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM ’25, pages 39–44, Copenhagen, Denmark. Association for the Advancement of Artificial Intelligence (www.aaai.org).
Cite (Informal):
Assessing Perspective-Taking in Texts: Inspirations for Analytical Targets from Socio-Cognitive Narrative Coding Schemes (Compensis, NLPSI 2025)
Copy Citation:
PDF:
https://aclanthology.org/2025.nlpsi-1.4.pdf