使用社交线索的AI聊天机器人进行抑郁症干预:一项随机有效性试验
1School of Design, South China University of Technology, Guangzhou Higher Education Mega Center, Panyu District, 510006 Guangzhou, China.
Journal of affective disorders
|June 25, 2025
概括
与仅为文本版本相比,高社交度的聊天机器人显著降低了大学生的抑郁和焦虑. 这些先进的聊天机器人还改善了坚持,满意度和治疗联盟.
科学领域:
- 数字心理健康数字心理健康
- 人与计算机的互动.
- 临床心理学 临床心理学
背景情况:
- 抑郁症是大学生中普遍存在的问题.
- 聊天机器人越来越多地用于心理健康干预.
- 社交线索在聊天机器人设计中对抑郁症治疗的影响需要进一步调查.
研究的目的:
- 为了比较高社会暗示 (HSC) 聊天机器人与低社会暗示 (LSC) 聊天机器人在治疗抑郁症状方面的有效性.
- 评估社会线索对治疗结果,用户满意度和坚持治疗的影响.
主要方法:
- 一项为期16周的开放性随机对照试验,涉及84名中度至重度抑郁症状的大学生 (PHQ-9分数≥9).
- 参与者被分配到HSC组 (文本,语音,动画) 或LSC组 (仅文本).
- 结果包括PHQ-9,GAD-7,PANAS分数的变化,用户满意度 (CSQ-8),治疗联盟 (WAI-SR) 和坚持.
主要成果:
- 与LSC组相比,HSC组的抑郁症 (PHQ-9) 和焦虑症 (GAD-7) 评分显著降低.
- 在HSC组中观察到更高的坚持率,用户满意度 (CSQ-8) 和治疗联盟 (WAI-SR).
- 两组之间没有发现基线特征的显著差异.
结论:
- 结合高社会提示设计的聊天机器人在缓解大学生抑郁和焦虑症状方面比只有文本聊天机器人更有效.
- HSC聊天机器人提高了用户的坚持,满意度和治疗联盟的发展.
- 研究结果支持将更丰富的社会线索纳入聊天机器人设计,以改善心理健康干预.
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