Duong Cong Doanh, Dao Thanh Tung, Vu Trong Nghia, Ngo Thi Viet Nga, Tran Quang Yen
National Economics University, Hanoi, Viet Nam.
National Economics University, Hanoi, Viet Nam.
Acta Psychol (Amst). 2024 Nov;251:104622. doi: 10.1016/j.actpsy.2024.104622. Epub 2024 Dec 7.
The limited understanding of the detrimental repercussions stemming from the adoption of artificial intelligence, exemplified by ChatGPT, on users' mental health issues underscores the urgency of our current research endeavor. In response to this knowledge gap, our study employs the stimulus-organism-response (SOR) framework and implements a serial mediation model to probe into the impacts of compulsive ChatGPT usage on users' mental health outcomes. This model serves as a powerful analytical lens, allowing us to unravel the relationships between the stimulus (compulsive ChatGPT usage), organism (anxiety and burnout), and response (sleep disturbance). Using a cross-sectional survey design, we collected data from 2602 ChatGPT users in Vietnam via purposive sampling and utilized structural equation modeling to assess the hypothesis model. The findings confirm that compulsive ChatGPT usage directly correlates with heightened anxiety, burnout, and sleep disturbance. Moreover, compulsive usage indirectly contributes to sleep disturbance through anxiety and burnout, demonstrating a significant serial mediation effect. This expanded understanding, derived from a sizable and diverse user base, positions our research at the forefront of unraveling the intricate dynamics between AI adoption and mental well-being.
对诸如ChatGPT等人工智能的使用给用户心理健康问题带来的有害影响的有限理解，凸显了我们当前研究工作的紧迫性。针对这一知识空白，我们的研究采用刺激-机体-反应（SOR）框架并实施了一个串行中介模型，以探究对ChatGPT的强迫性使用对用户心理健康结果的影响。该模型是一个强大的分析视角，使我们能够揭示刺激（对ChatGPT的强迫性使用）、机体（焦虑和倦怠）和反应（睡眠障碍）之间的关系。采用横断面调查设计，我们通过目的抽样从越南的2602名ChatGPT用户那里收集了数据，并利用结构方程模型来评估假设模型。研究结果证实，对ChatGPT的强迫性使用与焦虑加剧、倦怠和睡眠障碍直接相关。此外，强迫性使用通过焦虑和倦怠间接导致睡眠障碍，显示出显著的串行中介效应。这一基于大量多样用户群体得出的更深入理解，使我们的研究处于揭示人工智能使用与心理健康之间复杂动态关系的前沿。
