Beyond the sycophantic vs. cold divide: towards flexible, emotionally intelligent agents to foster healthier human-AI interactions

Although large language models (LLMs) have only recently become ubiquitous, psychological distress following user-LLM interaction has already been documented in both the scientific literature and the popular media. Such distress may be related to the tendency of some LLMs to provide sycophantic responses that uncritically reinforce the views of the user. To support users’ healthy emotional regulation, flexible, emotionally aware AI systems are needed.

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Publication Details

Journal
npj Digital Medicine
Published
2026-10-01
DOI
https://doi.org/10.1038/s41746-026-03245-6
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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Beyond the sycophantic vs. cold divide: towards flexible, emotionally intelligent agents to foster healthier human-AI interactions

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Beyond the sycophantic vs. cold divide: towards flexible, emotionally intelligent agents to foster healthier human-AI interactions

Chengzhong Xu, Joseph P. Dexter, Haiyan Wu, Christian Montag, Michiel Spapé, Derek F. Wong
article en

Abstract

Although large language models (LLMs) have only recently become ubiquitous, psychological distress following user-LLM interaction has already been documented in both the scientific literature and the popular media. Such distress may be related to the tendency of some LLMs to provide sycophantic responses that uncritically reinforce the views of the user. To support users’ healthy emotional regulation, flexible, emotionally aware AI systems are needed.

npj Digital MedicineVol. 9(1)
University of Macau (MO)
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
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