使用人工智能探索老年人与社会辅助机器人的接触:人格,模式和心理社会结果
Narae Choi1, Othelia EunKyoung Lee2, Do-Hyung Park1
1Graduate School of Business IT, Kookmin University, 77, Jeongneung-ro, Seongbuk-gu, Seoul, 02707, Republic of Korea.
The Gerontologist
|February 15, 2026
概括
社会辅助机器人 (SARs) 显示出在提高低资源环境中的老年人的社会参与方面的潜力. 虽然没有统计学意义,但与Hyodol SAR的相互作用表明可能减少孤独和抑郁症,这表明在照顾中发挥了补充作用.
科学领域:
- 老年学是一门学科.
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 低资源社区的老年人面临数字沟和AI识字障碍.
- 社会辅助机器人 (SAR) 为增强技术采用和心理社会福祉提供了潜在的解决方案.
研究的目的:
- 研究人工智能驱动的Hyodol SAR在促进老年人社会参与方面的潜力.
- 分析与SARs的相互作用,以了解它们对服务不足人群的心理社会福祉的影响.
主要方法:
- 从SAR嵌入式传感器收集的多式联运数据,包括使用日志和语音记录.
- 对人口和健康数据进行干预前后调查.
- 机器人与人类的对话和活动参与;使用K-means集群来识别用户个性.
主要成果:
- 44.6%的参与者与SAR交谈; 30.2%讨论了活动参与.
- 根据参与模式,确定了三个用户人格:社交参与者,独立反射者和情绪表达的用户.
- 在一些用户群中观察到孤独和抑郁症的数值减少,尽管在统计学上并不显著.
结论:
- 在资源有限的环境中,SARS可以作为现有的老年人护理服务的宝贵补充.
- 该研究通过整合各种数据类型来推进人工智能驱动的老年学研究的方法方法.
- 未来的SAR开发应该专注于基于人格的定制,AI适应性学习和情感知情的护理.
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