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arXiv 2409.16899cs.ROcs.CLcs.HC

在线对话促进中的机器人反向通道反馈:一项跨代研究

Robotic Backchanneling in Online Conversation Facilitation: A Cross-Generational Study

Tokyo Institute of Technology(东京工业大学);RIKEN(理化学研究所);Kyoto University(京都大学)

Sota Kobuki, Katie Seaborn, Seiki Tokunaga, Kosuke Fukumori, Shun Hidaka, Kazuhiro Tamura, Koji Inoue, Tatsuya Kawahara, Mihoko Otake-Mastuura

AI总结:

本研究评估使用反向通道反馈的机器人在预防认知下降的群体对话协议中的促进效果,跨代研究表明该机制提升了年轻人的接受度并引发了老年人的非语言反馈。

摘要:

日本面临诸多与其老龄化社会相关的挑战,包括人口中认知能力下降的比例增加以及护理人员的短缺。人们已开始努力探索使用人工智能(AI)的解决方案,特别是能够与人交流的社交具身智能体和机器人。然而,关于这些智能体在各种日常情境中与老年人的兼容性,目前的研究还很少。为此,我们进行了一项用户研究,以评估一款作为旨在预防认知能力下降的群体对话协议促进者的机器人。我们对机器人进行了修改,使其使用反向通道反馈(backchannelling),这是一种自然的人类说话方式,以提高机器人的接受度以及群体对话体验的愉悦感。我们对年轻人和老年人进行了一项跨代研究。定性分析表明,与无反向通道反馈的机器人相比,年轻人认为具有反向通道反馈版本的机器人更友善、更值得信赖且更易被接受。最后,我们发现机器人的反向通道反馈引发了老年参与者的非语言反向通道反馈。

英文摘要:

Japan faces many challenges related to its aging society, including increasing rates of cognitive decline in the population and a shortage of caregivers. Efforts have begun to explore solutions using artificial intelligence (AI), especially socially embodied intelligent agents and robots that can communicate with people. Yet, there has been little research on the compatibility of these agents with older adults in various everyday situations. To this end, we conducted a user study to evaluate a robot that functions as a facilitator for a group conversation protocol designed to prevent cognitive decline. We modified the robot to use backchannelling, a natural human way of speaking, to increase receptiveness of the robot and enjoyment of the group conversation experience. We conducted a cross-generational study with young adults and older adults. Qualitative analyses indicated that younger adults perceived the backchannelling version of the robot as kinder, more trustworthy, and more acceptable than the non-backchannelling robot. Finally, we found that the robot's backchannelling elicited nonverbal backchanneling in older participants.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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