The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Escaping from Children's Abuse of Social Robots
Abstract
Social robots working in public space often stimulate children's curiosity. However, sometimes children also show abusive behavior toward robots. In our case studies, we observed in many cases that children persistently obstruct the robot's activity. Some actually abused the robot by saying bad things, and at times even kicking or punching the robot. We developed a statistical model of occurrence of children's abuse. Using this model together with a simulator of pedestrian behavior, we enabled the robot to predict the possibility of an abuse situation and escape before it happens. We demonstrated that with the model the robot successfully lowered the occurrence of abuse in a real shopping mall.
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“Research on children's abusive behaviour towards robots in shopping malls revealed, that children typically did not stop such misbehavior until their parents (their authority figure) stopped them or they got bored [8].”
From Taxonomy of Trust-Relevant Failures and Mitigation Strategies (2020) · cites this paper as [8]
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Metadata
- Authors
- Brščić, D., Kidokoro, H., Suehiro, Y., & Kanda, T.
- Affiliations
- Advanced Telecommunications Research Institute International (JP)
- Venue
- Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction
- Publisher
- ACM
- Published
- 2015-03-02
- Pages
- 59-66
- OpenAlex
- W1979628236
- Cited by
- 204
- References
- 29
- Citations by year
- 2026: 17 · 2025: 15 · 2024: 29 · 2023: 16 · 2022: 25 · 2021: 25 · 2020: 19 · 2019: 21 · 2018: 18 · 2017: 8 · 2016: 8 · 2015: 3
- FWCI
- 21.69
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion)
- Funders
- Core Research for Evolutional Science and Technology, Japan Science and Technology Agency
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Keywords
- social robots, human-robot interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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