论文标题
根据其封面来判断社会辅助机器人（SAR）；身体结构，轮廓和颜色对用户感知的影响
Judging a socially assistive robot (SAR) by its cover; The effect of body structure, outline, and color on users' perception
论文作者
论文摘要
社会辅助机器人（SARS）旨在通过社会互动提供援助。先前的研究有助于了解用户对现有市售SAR的看法和偏好。然而，很少有关于SARS外观的研究使用了指定的SAR设计，甚至更少评估了孤立的视觉品质（VQ）。在这项工作中，我们旨在系统地评估孤立的VQ的效果。为了实现这一目标，我们首先进行了市场研究，并解构了归因于SAR的VQ。然后，完成了身体结构，轮廓和配色方案的重建，从而创建了30个新的SAR模型，它们的VQ有所不同，从而使我们一次隔离一个字符。我们在两项实证研究中使用了这些新设计来评估用户的偏好和看法。我们的经验发现将VQ与对SAR特征的看法联系起来。这些可能导致为新SAR的工业设计过程制定指南，以符合用户期望。
Socially assistive robots (SARs) aim to provide assistance through social interaction. Previous studies contributed to understanding users` perceptions and preferences regarding existing commercially available SARs. Yet, very few studies regarding SARs' appearance used designated SAR designs, and even fewer evaluated isolated visual qualities (VQ). In this work, we aim to assess the effect of isolated VQs systematically. To achieve this, we first conducted market research and deconstructed the VQs attributed to SARs. Then, a reconstruction of body structure, outline, and color scheme was done, resulting in the creation of 30 new SAR models that differ in their VQs, allowing us to isolate one character at a time. We used these new designs to evaluate users' preferences and perceptions in two empirical studies. Our empirical findings link VQs with perceptions of SAR characteristics. These can lead to forming guidelines for the industrial design processes of new SARs to match user expectations.
