From Agent Autonomy to Casual Collaboration: A Design Investigation on Help-Seeking Urban Robots

ArXiv Pub Date : 2024-03-04 DOI:10.1145/3613904.3642389
Xinyan Yu, Marius Hoggenmueller, M. Tomitsch
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Abstract

As intelligent agents transition from controlled to uncontrolled environments, they face challenges that sometimes exceed their operational capabilities. In many scenarios, they rely on assistance from bystanders to overcome those challenges. Using robots that get stuck in urban settings as an example, we investigate how agents can prompt bystanders into providing assistance. We conducted four focus group sessions with 17 participants that involved bodystorming, where participants assumed the role of robots and bystander pedestrians in role-playing activities. Generating insights from both assumed robot and bystander perspectives, we were able to identify potential non-verbal help-seeking strategies (i.e., addressing bystanders, cueing intentions, and displaying emotions) and factors shaping the assistive behaviours of bystanders. Drawing on these findings, we offer design considerations for help-seeking urban robots and other agents operating in uncontrolled environments to foster casual collaboration, encompass expressiveness, align with agent social categories, and curate appropriate incentives.
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从代理自主到休闲协作:城市求助机器人的设计研究
当智能代理从受控环境过渡到不受控环境时,它们面临的挑战有时会超出其操作能力。在许多情况下,它们需要依靠旁观者的帮助来克服这些挑战。以被困在城市环境中的机器人为例,我们研究了代理如何促使旁观者提供帮助。我们与 17 位参与者进行了四次焦点小组讨论,其中包括身体风暴,参与者在角色扮演活动中扮演机器人和旁观行人。从假定的机器人和旁观者的角度出发,我们能够确定潜在的非语言求助策略(即向旁观者致意、提示意图和展示情绪)以及影响旁观者求助行为的因素。根据这些发现,我们为城市机器人和其他在不受控制的环境中运行的代理提供了寻求帮助的设计考虑因素,以促进随意协作、包含表现力、与代理的社会类别保持一致,并策划适当的激励措施。
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