research-article

Escaping from Children's Abuse of Social Robots

Authors:

Dražen Brščić,

Hiroyuki Kidokoro,

Yoshitaka Suehiro,

Takayuki KandaAuthors Info & Claims

HRI '15: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction

Pages 59 - 66

https://doi.org/10.1145/2696454.2696468

Published: 02 March 2015 Publication History

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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https://doi.org/10.3390/su16177252
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Escaping from Children's Abuse of Social Robots

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cover image ACM Conferences

HRI '15: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction

March 2015

368 pages

ISBN:9781450328838

DOI:10.1145/2696454

General Chairs:
Julie A. Adams
Vanderbilt University, USA
,
William Smart
Oregon State University, USA
,
Program Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Leila Takayama
Google[x], USA

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGAI: ACM Special Interest Group on Artificial Intelligence
RA: IEEE Robotics and Automation Society
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 March 2015

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Funding Sources

Core Research for Evolutional Science and Technology, Japan Science and Technology Agency

Conference

HRI '15

Sponsor:

HRI '15: ACM/IEEE International Conference on Human-Robot Interaction

March 2 - 5, 2015

Oregon, Portland, USA

Acceptance Rates

HRI '15 Paper Acceptance Rate 43 of 169 submissions, 25%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

Lv DSun RZhu QZuo JQin S(2024)Sustainable Impact of Stance Attribution Design Cues for Robots on Human–Robot Relationships—Evidence from the ERSPSustainability10.3390/su1617725216:17(7252)Online publication date: 23-Aug-2024
https://doi.org/10.3390/su16177252
Ushijima YSatake SKanda T(2024)Predicting humor effectiveness of robots for human line cuttingFrontiers in Robotics and AI10.3389/frobt.2024.140709511Online publication date: 29-Oct-2024
https://doi.org/10.3389/frobt.2024.1407095
Sumartojo STian LCarreno-Medrano PLundberg RKulić DMintrom M(2024)Contingent autonomy: Robotic encounters in an uncertain worldEnvironment and Planning D: Society and Space10.1177/02637758241263206Online publication date: 25-Jul-2024
https://doi.org/10.1177/02637758241263206
Nishiwaki KBrščić DKanda T(2024)Expressing Anger with Robot for Tackling the Onset of Robot AbuseACM Transactions on Human-Robot Interaction10.1145/369646714:1(1-23)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3696467
Shaheen TBrščić DKanda T(2024)Investigation of Low-Moral Actions by Malicious Anonymous Operators of Avatar RobotsACM Transactions on Human-Robot Interaction10.1145/369646614:1(1-34)Online publication date: 21-Sep-2024
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Edirisinghe SSatake SLiu YKanda T(2024)Field Trial of a Queue-Managing Security Guard RobotACM Transactions on Human-Robot Interaction10.1145/368029213:4(1-48)Online publication date: 25-Jul-2024
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Perella-Holfeld FSallam SPetrie JGomez RIrani PSakamoto Y(2024)Parent and Educator Concerns on the Pedagogical Use of AI-Equipped Social RobotsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785568:3(1-34)Online publication date: 9-Sep-2024
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Rezzani A(2024)Investigating Robot AbuseProceedings of the 2024 International Conference on Advanced Visual Interfaces10.1145/3656650.3656759(1-3)Online publication date: 3-Jun-2024
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Mirsky RShpiro E(2024)Recognition and Identification of Intentional Blocking in Social NavigationProceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction10.1145/3648536.3648549(101-110)Online publication date: 9-Mar-2024
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Yu XHoggenmüller MTomitsch M(2024)Encouraging Bystander Assistance for Urban Robots: Introducing Playful Robot Help-Seeking as a StrategyProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661505(2514-2529)Online publication date: 1-Jul-2024
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