The study investigates how urban robots seek help from bystanders through non-verbal cues and emotional displays. Factors influencing bystander assistance include preconceptions of agent autonomy and unfamiliarity with robotic technology. Design considerations focus on expressiveness, social categories alignment, and curating incentives.
The research highlights the importance of aligning robot behaviors with perceived social categories for effective human-agent collaboration in public spaces. It also emphasizes the need for appropriate incentives to motivate bystanders to assist robots in real-world scenarios.
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by Xinyan Yu,Ma... at arxiv.org 03-12-2024
https://arxiv.org/pdf/2403.06774.pdfDeeper Inquiries