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arXiv 2603.08810cs.RO
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与社会机器人交互中眼动感知的年龄相关差异

Age-Related Differences in the Perception of Eye-Gaze from a Social Robot

Örebro University(奥雷布罗大学)

Lucas Morillo-Mendez, Martien G. S. Schrooten, Oscar Martinez Mozos

AI总结:

研究探讨社会机器人通过指示性眼动改善老年人社会感知能力,旨在设计适应年龄差异的非语言交流方案。

摘要:

随着社会机器人在日常任务中帮助老年人日益受到关注,非语言线索如指示性眼动在人机交互中的自然交流中变得尤为重要。然而,随着年龄的增长,对指示性眼动的敏感性会自然下降,导致社会感知能力的降低。因此,本研究探讨了社会机器人在日常任务中为老年人提供指示性眼动的好处,以及年龄相关的差异如何影响其社会感知能力,与年轻群体相比。这可能有助于在人机交互背景下设计适应性年龄相关的非语言线索。

英文摘要:

There is an increasing interest in social robots assisting older adults during daily life tasks. In this context, non-verbal cues such as deictic gaze are important in natural communication in human-robot interaction. However, the sensibility to deictic-gaze declines naturally with age and results in a reduction in social perception. Therefore, this work explores the benefits of deictic gaze from social robots assisting older adults during daily life tasks, and how age-related differences may influence their social perception in contrast to younger populations. This may help on the design of adaptive age-related non-verbal cues in the Human-Robot Interaction context.

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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