Encouraging Bystander Assistance for Urban Robots: Introducing Playful Robot Help-Seeking as a Strategy
Xinyan Yu, Marius Hoggenmueller, Martin Tomitsch

TL;DR
This study explores playful help-seeking strategies to encourage bystander assistance for urban robots, demonstrating that playful cues increase willingness to help and influence perceptions differently than verbal or emotional cues.
Contribution
It introduces and evaluates playful help-seeking as a novel interaction strategy to promote spontaneous human-robot collaboration in urban environments.
Findings
Playful help-seeking increased willingness to help, especially in physically demanding scenarios.
Verbal help-seeking was perceived as less polite and caused discomfort.
Emotional expression elicited empathy but reduced cognitive trust.
Abstract
Robots in urban environments will inevitably encounter situations beyond their capabilities (e.g., delivery robots unable to press traffic light buttons), necessitating bystander assistance. These spontaneous collaborations possess challenges distinct from traditional human-robot collaboration, requiring design investigation and tailored interaction strategies. This study investigates playful help-seeking as a strategy to encourage such bystander assistance. We compared our designed playful help-seeking concepts against two existing robot help-seeking strategies: verbal speech and emotional expression. To assess these strategies and their impact on bystanders' experience and attitudes towards urban robots, we conducted a virtual reality evaluation study with 24 participants. Playful help-seeking enhanced people's willingness to help robots, a tendency more pronounced in scenarios…
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