From Agent Autonomy to Casual Collaboration: A Design Investigation on Help-Seeking Urban Robots
arxiv(2024)
摘要
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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