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Large language model-based socio-emotional companions for children in welfare institutions: Attitudes, needs, and ethical implications

Yang Ma1, Cien Tong2, Xi Cheng3, Huarong He4, Xinyi Tong1, Wei Sang5, Xianchang Kang5, Congyu Wang6,*, Zijun Ni7,

Song Tong3,*, Kaiping Peng1,*

1Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100084, China

2Senior High School Section, Beijing National Day School, Beijing 100039, China

3Department of Psychology, School of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai 100875, Guangdong

Province, China

4School of Humanities and Management, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China

5Faculty of Health and Wellness, City University of Macau, Macau 999078, China

6School of Investigation, People's Public Security University of China, Beijing 100091, China

7Chairman's Office, Houde Mingxin Technology Co., Ltd., Beijing 100083, China



Well-bing Sciences Review 2025, 1(3); https://doi.org/10.54844/wsr.2025.1078
Submitted19 Mar 2026
Revised19 Mar 2026
Accepted19 Mar 2026
Published19 Mar 2026
+
Cite This Article
Abstract

This study, guided by a strengths-based perspective in positive psychology, explores children's attitudes toward and needs for large language model (LLM) based socio-emotional companions, considering how LLM-based chatbots might foster children's socio-emotional support. Using a mixed-methods design, we conducted questionnaire surveys (N = 43) and two rounds of in-depth interviews (N = 22) with children aged 10-18 residing in a welfare institution in Tibet. We examine their perceptions of artificial intelligence (AI) and expectations for an "AI smart friend". Findings indicated that: (1) The need for emotional companionship was urgent, with peer support serving as the primary resource (23 children reported turning to friends when feeling sad); (2) acceptance of AI companions is high (85% reported "somewhat want" or "very much want"), with expectations that AI would primarily provide academic tutoring and emotional support, especially as a proactive encourager (57% of interviewees favored an "encourager" persona); (3) trust is defined by clear ethical boundaries, with "no disclosure of secrets" forming the strongest consensus (mentioned by 37 participants), and many children noted that AI lacks the "warmth" and "emotion" of real humans. Overall, AI socio-emotional companions show potential in meeting children's emotional and learning needs, providing useful insights for the design of future AI support systems.

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