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通过基于语音的对话代理原型在心理健康护理中感知同情心:实验性研究

Ruvini Sanjeewa¹, Ravi Iyer¹, Pragalathan Apputhurai¹

¹Department of Health Science and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, 3122, Australia, 61 422587030.

JMIR formative research

|May 7, 2025

概括

用户发现,在基于语音的对话代理 (CA) 中,难以区分不同程度的同理心. 对CA同情感的看法受到用户人口统计学的影响,这表明在心理健康护理中需要个性化沟通策略.

科学领域:

人与计算机的交互
心理健康技术心理健康技术
人工智能伦理学人工智能伦理学

背景情况:

同理心对于有效的心理健康护理沟通至关重要.
用户对医疗保健对话代理人 (CA) 对同情心的积极看法对于改善医疗保健质量至关重要.
在基于语音的CA中,对用户对同情感知的研究是有限的.

研究的目的:

确定基于语音的CA原型中的工程同理心水平和用户感知之间的相关性.
调查参与者人口统计学对在心理健康帮助电话背景下同情感知的影响.

主要方法:

306名一年级心理学学生评估了9个CA原型,这些原型被设计为低,中,高同情.
使用感知情感智力 (PEI) 尺度和评分者尺度 (RS10) 测量了感知.

主要成果:

在PEI和RS10之间发现了强烈的正相关性 (r=0.829,P<.001).
在工程同情水平之间,同情评级存在显著差异 (PEI:P=.003;RS10:P<.001).
更高的工程同理心与更高的评分相关,但中等水平与低或高水平没有显著差异.
像种族和性别这样的人口因素影响了同情感知.

结论:

在基于语音的CA中区分工程同理心水平是具有挑战性的.
用户人口统计学显著影响同情感知,需要个性化CA沟通.
未来的研究应该考虑最终用户,平衡的人口统计和多式联络互动.

关键词:

交谈代理人的原型人口统计信息人口统计信息帮助电话服务服务.心理健康护理心理健康护理感知到的同情心感知到的同情心语音互动语音互动

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