老年人与社交机器人互动无心理压力，可缓解护理人力短缺。
Perception of Social Robots as Communication Partners in Healthcare for Older Adults
- 通过面部表情、心率等多模态数据对比人机互动
- 机器人互动时心率略低，压力水平与人类相当
- 适合关注老年照护、人机交互的从业者参考
为应对全球护理人员短缺问题，需深入理解社交机器人在与老年人互动中带来的心理与生理影响。本研究通过35名70岁以上参与者，比较了机器人与人类作为互动伙伴的效果，并测试了‘积极提示’是否能提升互动质量。多模态分析结合面部表情、心率变异性及主观问卷显示，人机互动总体压力水平无显著差异。面部表情分析表明机器人被接受为有效互动对象；生理数据显示，与人类主导的互动相比，机器人互动时心率更低，表明状态更放松。结果表明，社交机器人可在不引发心理负担的前提下有效参与互动，通过执行健康筛查等结构化任务，减轻护理压力。未来研究应解决机器人外观与功能不匹配的问题，以实现更自然高效的人机交互。
原文摘要 · Abstract (English)
Addressing the global caregiver shortage through socially assistive robots necessitates a deep understanding of their psychological and physiological impacts on older adults during human-robot interaction (HRI). This study addresses whether social robots can serve as effective interaction partners compared to humans, and if "positive prompts" can similarly enhance these interactions. We conducted a comparative study with 35 participants (aged 70+). Our multi-modal analysis, integrating facial expression data, heart rate variability, and subjective questionnaires, revealed no significant differences in overall stress levels between human and robot interactions. Facial expression analysis confirmed that the robot was accepted as a valid interaction partner, while physiological data showed slightly lower heart rates during robot interactions, suggesting a more relaxed state compared to human-led sessions. These findings indicate that social robots can engage older adults without inducing psychological strain and are capable of alleviating caregiver burden by performing structured tasks, such as health-sensing surveys. Future work should address the identified "appearance-content mismatch" in robot design to facilitate even more natural and effective interactions.
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