基于聊天机器人的干预对压力和健康相关参数在压力样本的影响:随机对照试验
Christine Schillings1, Echo Meißner2, Benjamin Erb2
1Department of Clinical and Health Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.
JMIR mental health
|May 28, 2024
概括
一个为期3周的聊天机器人干预显示了改善应激个体的正念和情绪调节的潜力. 虽然没有减少感知压力,但数字工具增强了幸福感和感知灵敏度.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 心理健康技术 心理健康技术
- 心理干预 心理干预
背景情况:
- 越来越多的压力水平和心理健康障碍需要创新的干预措施.
- 基于聊天机器人的方法为改善健康提供了有希望的数字解决方案.
- 对心理健康聊天机器人干预措施的研究仍然有限.
研究的目的:
- 评估一个为期3周的聊天机器人干预 (ELME) 在减轻压力的有效性.
- 评估聊天机器人对压力人口中各种健康相关参数的影响.
- 研究提高正念,整体感知,幸福感和情绪调节的方法.
主要方法:
- 一个多中心,双臂随机对照试验,涉及118名中高压力个体.
- 干预组每天接受3周的聊天机器人会议 (压力,正念,整体感知).
- 结果包括感知压力,正念,整体感知,幸福感和情绪调节,在多个时间点进行评估.
主要成果:
- 没有观察到感知或瞬间压力的显著减少.
- 在干预组中,正念和重新评估显著增加.
- 随着时间的推移,主观幸福感和瞬间的感知敏感性在两组中都有所改善.
结论:
- 聊天机器人干预显示了增强应激个体的正念和情绪调节的潜力.
- 进一步的研究应该探索更长的干预时间和减少压力的特定参与者子组.
- 未来的数字心理健康干预应利用基于规则和基于AI的聊天机器人的发现.
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