我应该贴墙行驶吗?评估 "贴墙行驶 "的社会接受度和驾驶偏好

IF 3.8 2区 计算机科学 Q2 ROBOTICS
Nicole Robinson, Christopher Tsz-Hang Yeung, Akansel Cosgun
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引用次数: 0

摘要

安全、可预测和可靠的机器人导航是移动机器人在家庭和办公环境中移动的基础。最短路径导航是一种流行的机器人导航方法,它使用最有效的路径来达到预期目标。在拥挤的走廊中,这种行为并不总是容易解释、理解和避免。取而代之的是更可预测的导航方法,例如机器人沿着墙壁前进,这有助于提高社会认可度,避免机器人横穿人行道。如果机器人沿着墙壁前进,则需要考虑的一个关键变量是机器人在狭窄通道等区域的首选驾驶侧(左侧或右侧),以及其对社会接受度的影响。这项国际用户研究(n = 143)通过在线视频测试,比较了两种移动导航(沿墙导航和最短路径导航)的机器人评估和社会接受度,包括沿墙导航的首选驾驶侧。在一系列室内场景中,Fetch 机器人与行人一起从起点导航到目标位置。选择的场景包括走廊、门口和十字路口。独立样本 T 检验结果发现,无论机器人驾驶员在哪一侧,"墙壁跟随 "的舒适度和可预测性都明显高于 "最短路径"。对机器人驾驶员一侧的偏好与居住国无关,对机器人的评分也没有显著影响。在两个时间点上,舒适度、安全性和可预测性得分之间存在明显的交互效应。鉴于 "最短路径 "导航的流行,研究结果表明这种方法可能并不最适合人类环境。为了获得社会的认可,建议对 "墙壁跟随 "行为进行更多调查,即使这种方法会影响机器人实现目标的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Should I Just Stick to the Wall? Evaluating the Social Acceptance and Preferred Driving Side of Wall Following

Should I Just Stick to the Wall? Evaluating the Social Acceptance and Preferred Driving Side of Wall Following

The need for safe, predictable, and reliable robot navigation is fundamental for mobile robots to move around in home and office environments. Shortest-path navigation is a popular robot navigation method that uses the most efficient path to get to the desired goal. This behaviour is not always easy to interpret, understand, and avoid in a congested hallway. Instead, more predictable navigation methods, such as a robot following a wall, can help increase social acceptance and help avoid the robot crossing the pedestrian path. If a robot follows along a wall, a key variable to consider is the preferred driving side of the robot (left or right) in areas such as in narrow passages, and its perceived impact on social acceptance. This international user study (n = 143) involved an online video-based test to compare robot evaluation and social acceptance for two types of mobile navigation (Wall-Following and Shortest Path), including the preferred driving side for Wall-Following. A Fetch robot navigated from start to goal position in a series of indoor scenarios with a pedestrian. Select scenarios included a hallway, doorway, and intersection. Independent Sample T-Tests results found that Wall-Following was rated significantly higher than Shortest Path for being perceived as more comfortable and predictable, regardless of robot driving side. The preference for the driver side of the robot did not match the country of residence, nor did it have a significant impact on robot ratings. There were significant interaction effects for comfort, safety and predictable scores across two timepoints. Given the popularity of Shortest Path navigation, the findings indicate that this approach might not be the most appropriate for human settings. Additional investigation into Wall-Following behaviours is recommended for social acceptance, even if the method compromises the efficiency of the robot to acheive its objective.

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来源期刊
CiteScore
9.80
自引率
8.50%
发文量
95
期刊介绍: Social Robotics is the study of robots that are able to interact and communicate among themselves, with humans, and with the environment, within the social and cultural structure attached to its role. The journal covers a broad spectrum of topics related to the latest technologies, new research results and developments in the area of social robotics on all levels, from developments in core enabling technologies to system integration, aesthetic design, applications and social implications. It provides a platform for like-minded researchers to present their findings and latest developments in social robotics, covering relevant advances in engineering, computing, arts and social sciences. The journal publishes original, peer reviewed articles and contributions on innovative ideas and concepts, new discoveries and improvements, as well as novel applications, by leading researchers and developers regarding the latest fundamental advances in the core technologies that form the backbone of social robotics, distinguished developmental projects in the area, as well as seminal works in aesthetic design, ethics and philosophy, studies on social impact and influence, pertaining to social robotics.
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