Receiving a hug is one of the best ways to feel socially supported, and the lack of social touch can have severe negative effects on an individual's well-being. Based on previous research both within and outside of HRI, we propose six tenets ("commandments") of natural and enjoyable robotic hugging: a hugging robot should be soft, be warm, be human sized, visually perceive its user, adjust its embrace to the user's size and position, and reliably release when the user wants to end the hug. Prior work validated the first two tenets, and the final four are new. We followed all six tenets to create a new robotic platform, HuggieBot 2.0, that has a soft, warm, inflated body (HuggieChest) and uses visual and haptic sensing to deliver closed-loop hugging. We first verified the outward appeal of this platform in comparison to the previous PR2-based HuggieBot 1.0 via an online video-watching study involving 117 users. We then conducted an in-person experiment in which 32 users each exchanged eight hugs with HuggieBot 2.0, experiencing all combinations of visual hug initiation, haptic sizing, and haptic releasing. The results show that adding haptic reactivity definitively improves user perception a hugging robot, largely verifying our four new tenets and illuminating several interesting opportunities for further improvement.
翻译:接受拥抱是感觉得到社会支持的最佳方式之一, 缺乏社会接触会对个人的福祉产生严重的负面影响。 根据以前在HRI内部和外部进行的研究, 我们提出自然和舒适的机器人拥抱的六条原则( “ 命令 ” ): 拥抱机器人应该是软的、 温暖的、 人型的、 视觉的用户, 调整其拥抱以适应用户的大小和位置, 当用户想要结束拥抱时可靠地释放。 先前的工作验证了前两个原则, 最后四个原则是新的。 我们遵循了所有六条原则, 创建一个新的机器人平台, HugggieBot 2. 0, 拥有软的、温暖的、 膨胀的身体( HuggieCest), 并使用视觉和机敏感感来提供闭路拥抱。 我们首先通过在线视频观察研究, 校验了这个平台的外吸引力, 包括117个用户。 我们随后进行了一次人际实验, 其中32个用户每人与HuggieBot 2.0 进行8次的拥抱, 接受所有视觉拥抱的组合。