Dobrosovestnova, A., Schwaninger, I., & Weiss, A. (2022). With a Little Help of Humans. An Exploratory Study of Delivery Robots Stuck in Snow. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1023–1029). https://doi.org/10.1109/RO-MAN53752.2022.9900588
E193-05 - Forschungsbereich Human Computer Interaction
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Published in:
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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ISBN:
9781728188591
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Date (published):
30-Sep-2022
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Event name:
31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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Event date:
29-Aug-2022 - 2-Sep-2022
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Event place:
Naples, Italy
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Number of Pages:
7
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Peer reviewed:
Yes
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Keywords:
ethics; Service robots; Human-Robot Interaction
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Abstract:
People's willingness to help robots has been explored in the lab and in the wild in various settings. While previous studies relied on robotic prototypes, service robots are now already deployed in public spaces. This presents a novel and exciting opportunity for human-robot interaction (HRI) scholars to study robotic technologies in the context of their deployment. In this paper, we present the qualitative methodology and the outcomes of an exploratory mixed-methods (observations, autoethnography, online content analysis) study of people voluntarily helping commercially deployed delivery robots in Tallinn, Estonia. Based on the cumulative findings of the three methods, we discuss how spontaneous help towards robots manifested, the situational factors that may have contributed to the observed helping behaviors, and the role that the perceptions of the robots as cute and helpful may have played in these interactions. While our findings support the assumption that human help is a reasonable mitigation strategy to overcoming the challenges service robots may face in uncontrolled environments, we also emphasize the importance of considering the ethical implications when commercial technology relies in part on passersby to succeed in its tasks.
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Research Areas:
Visual Computing and Human-Centered Technology: 70% Automation and Robotics: 30%