Kishimoto Tomoko, Hao Ximing, Chang Trimble, Luo Zhiye
Faculty of Psychology, Beijing Normal University, Beijing, China.
Department of Social Psychology, School of Sociology, Nankai University, Tianjin, China.
Internet Interv. 2025 Feb 8;39:100810. doi: 10.1016/j.invent.2025.100810. eCollection 2025 Mar.
With the aim of universal prevention, there is still a lack of non-clinician-led or self-help interventions designed for the general population experiencing psychological distress. This study aims to address this gap by exploring a convenient, single-session, and effective method for reducing anxiety using ChatGPT feedback. Using a mixed-factorial experimental design, we recruited 98 participants online to compare changes in self-compassion and anxiety before and after the intervention among three groups: self-compassion writing with ChatGPT feedback (Experimental Group 1), self-compassion writing alone (Experimental Group 2), and an Active Control Group. Results showed that both Experimental Group 1 and 2 experienced significant increases in self-compassion and Experimental Group 1 experienced significant decreases in anxiety after the intervention, with Experimental Group 1 showing greater improvements. There were no significant changes in the control group. This study demonstrates that single online self-compassion writing intervention can effectively reduce anxiety and that using ChatGPT to provide highly empathetic feedback can enhance the effectiveness, making psychological support more accessible, cost-effective, and suitable for the general population.
为了实现普遍预防的目标,目前仍然缺乏由非临床医生主导或针对有心理困扰的普通人群的自助干预措施。本研究旨在通过探索一种方便、单次且有效的利用ChatGPT反馈减轻焦虑的方法来填补这一空白。采用混合因子实验设计,我们在网上招募了98名参与者,比较三组在干预前后自我同情和焦虑的变化:有ChatGPT反馈的自我同情写作(实验组1)、单独的自我同情写作(实验组2)和一个积极对照组。结果显示,实验组1和实验组2在干预后自我同情都有显著增加,实验组1在干预后焦虑有显著下降,且实验组1的改善更大。对照组没有显著变化。本研究表明,单次在线自我同情写作干预可以有效减轻焦虑,并且利用ChatGPT提供高度共情的反馈可以提高效果,使心理支持更容易获得、更具成本效益且适合普通人群。