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一项关于拟人化在人机交互中有效性的荟萃分析。

A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction.

机构信息

Technische Universität Berlin, Berlin, Germany.

Humboldt-Universität zu Berlin, Berlin, Germany.

出版信息

Sci Robot. 2021 Sep 8;6(58):eabj5425. doi: 10.1126/scirobotics.abj5425.

Abstract

The application of anthropomorphic design features is widely assumed to facilitate human-robot interaction (HRI). However, a considerable number of study results point in the opposite direction. There is currently no comprehensive common ground on the circumstances under which anthropomorphism promotes interaction with robots. Our meta-analysis aims to close this gap. A total of 4856 abstracts were scanned. After an extensive evaluation, 78 studies involving around 6000 participants and 187 effect sizes were included in this meta-analysis. The majority of the studies addressed effects on perceptual aspects of robots. In addition, effects on attitudinal, affective, and behavioral aspects were also investigated. Overall, a medium positive effect size was found, indicating a beneficial effect of anthropomorphic design features on human-related outcomes. However, closer scrutiny of the lowest variable level revealed no positive effect for perceived safety, empathy, and task performance. Moreover, the analysis suggests that positive effects of anthropomorphism depend heavily on various moderators. For example, anthropomorphism was in contrast to other fields of application, constantly facilitating social HRI. The results of this analysis provide insights into how design features can be used to improve the quality of HRI. Moreover, they reveal areas in which more research is needed before any clear conclusions about the effects of anthropomorphic robot design can be drawn.

摘要

拟人设计特征的应用被广泛认为有助于人机交互(HRI)。然而,相当多的研究结果指向了相反的方向。目前,对于拟人化促进与机器人交互的情况,还没有一个全面的共识。我们的荟萃分析旨在弥补这一空白。总共扫描了 4856 个摘要。经过广泛评估,共有 78 项研究纳入了本荟萃分析,涉及约 6000 名参与者和 187 个效应量。这些研究大多针对机器人的感知方面的影响。此外,还研究了对态度、情感和行为方面的影响。总体而言,发现了中等程度的正效应大小,表明拟人化设计特征对与人类相关的结果有有益的影响。然而,更仔细地观察最低变量水平,发现感知安全、同理心和任务绩效没有积极影响。此外,分析表明,拟人化的积极影响在很大程度上取决于各种调节因素。例如,与其他应用领域相反,拟人化不断促进社会 HRI。该分析的结果提供了有关如何使用设计特征来提高 HRI 质量的见解。此外,它们还揭示了在得出关于拟人机器人设计效果的任何明确结论之前,需要进一步研究的领域。

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