A digital shoulder to cry on: Understanding why large language models can be effective in extrinsic interpersonal emotion regulation.

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Authors: Y Chen, Sarah A. Walker, Belén López‐Pérez
Cited by: 1

Abstract

= 180) while controlling for message length. These findings suggest that, when evaluated using experimentally generated messages based on prototypes, LLMs can effectively mimic or sometimes surpass human prototypes in extrinsic interpersonal emotion regulation. However, advantages seem to be context and outcome dependent. Importantly, actionable support emerges as a key component for effective interpersonal emotion regulation across sources. Implications are discussed for theories of interpersonal emotion regulation and artificial intelligence-human interaction. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Fields of Study & Subjects

Emotion and Mood Recognition Infant Health and Development Digital Mental Health Interventions

Publication details

Journal / source
Emotion
Publisher
American Psychological Association (APA)
Publication date
23 July 2026
Language
EN