使用人机交互来评估透析患者的情绪识别:一项初步研究
Concetta De Pasquale1, Maria Luisa Pistorio2, Helene Høgsdal3
1Department of General Surgery and Medical-Surgical Specialties, University of Catania, Catania 95123, Italy.
Asian journal of psychiatry
|February 8, 2026
概括
这项研究发现,年龄和alexithymia (难以识别情绪) 在慢性病 (CKD) 患者的情绪识别显著损害. 人类型机器人在检测这些社会情感处理变化方面表现有前途.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 腎臟病學 (nephrology) 是一種醫學專業.
背景情况:
- 慢性病 (CKD) 影响许多生理系统,可能会影响认知和情绪处理.
- 在医学上脆弱的人群中评估社会情感缺陷需要创新和敏感的方法.
研究的目的:
- 为了研究心理因素 (alexithymia,焦虑,抑郁症) 和多式情绪识别在CKD患者之间的关系.
- 评估人形机器人作为评估该人口情绪识别的新工具的实用性.
主要方法:
- 一项涉及60名接受透析的成年CKD患者的横截面观察性研究.
- 用Ekman面部表情,动态视频剪辑和NAO人形机器人来评估情绪识别.
- 心理因素使用验证的测量尺度来测量alexithymia (TAS-20),焦虑 (GAD-7) 和抑郁 (PHQ-9).
主要成果:
- 年龄和alexithymia负面预测情绪识别,特别是在视频和基于机器人的任务.
- 在静态面部任务中,焦虑积极预测了对幸福和恐惧的认知.
- 基于机器人的情绪识别受到了年龄和透析持续时间的影响.
结论:
- 亚历克西西米亚和年龄是导致CKD患者情绪识别能力低下的关键因素.
- 社会辅助机器人为检测弱势患者群体中微妙的社会情绪处理变化提供了一个有希望的途径.
- 这些发现支持未来的纵向研究,将技术和心理评估整合起来,以改善患者护理.
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