research-article

Expressing Robot Incapability

Authors:

Sandy H. Huang,

Anca D. DraganAuthors Info & Claims

HRI '18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

Pages 87 - 95

https://doi.org/10.1145/3171221.3171276

Published: 26 February 2018 Publication History

Abstract

Our goal is to enable robots to express their incapability, and to do so in a way that communicates both what they are trying to accomplish and why they are unable to accomplish it. We frame this as a trajectory optimization problem: maximize the similarity between the motion expressing incapability and what would amount to successful task execution, while obeying the physical limits of the robot. We introduce and evaluate candidate similarity measures, and show that one in particular generalizes to a range of tasks, while producing expressive motions that are tailored to each task. Our user study supports that our approach automatically generates motions expressing incapability that communicate both what and why to end-users, and improve their overall perception of the robot and willingness to collaborate with it in the future.

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Cited By

Pramanick PRaggioli LRossi ARossi S(2024)Effects of Incoherence in Multimodal Explanations of Robot FailuresCompanion Proceedings of the 26th International Conference on Multimodal Interaction10.1145/3686215.3690155(6-10)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3686215.3690155
Chen CLiao MSundar S(2024)When to Explain? Exploring the Effects of Explanation Timing on User Perceptions and Trust in AI systemsProceedings of the Second International Symposium on Trustworthy Autonomous Systems10.1145/3686038.3686066(1-17)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3686038.3686066
Tsoi NSterneck RZhao XVázquez M(2024)Influence of Simulation and Interactivity on Human Perceptions of a Robot During Navigation TasksACM Transactions on Human-Robot Interaction10.1145/3675784Online publication date: 16-Jul-2024
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Index Terms

Expressing Robot Incapability
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
      1. Robotic autonomy

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Published In

cover image ACM Conferences

HRI '18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

February 2018

468 pages

ISBN:9781450349536

DOI:10.1145/3171221

General Chairs:
Takayuki Kanda
ATR, Japan
,
Selma Ŝabanović
Indiana University Bloomington, USA
,
Program Chairs:
Guy Hoffman
Cornell University, USA
,
Adriana Tapus
ENSTA-ParisTech, France

Copyright © 2018 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]

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

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Association for Computing Machinery

New York, NY, United States

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Published: 26 February 2018

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HRI '18: ACM/IEEE International Conference on Human-Robot Interaction

March 5 - 8, 2018

IL, Chicago, USA

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HRI '18 Paper Acceptance Rate 49 of 206 submissions, 24%;

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

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Cited By

Pramanick PRaggioli LRossi ARossi S(2024)Effects of Incoherence in Multimodal Explanations of Robot FailuresCompanion Proceedings of the 26th International Conference on Multimodal Interaction10.1145/3686215.3690155(6-10)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3686215.3690155
Chen CLiao MSundar S(2024)When to Explain? Exploring the Effects of Explanation Timing on User Perceptions and Trust in AI systemsProceedings of the Second International Symposium on Trustworthy Autonomous Systems10.1145/3686038.3686066(1-17)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3686038.3686066
Tsoi NSterneck RZhao XVázquez M(2024)Influence of Simulation and Interactivity on Human Perceptions of a Robot During Navigation TasksACM Transactions on Human-Robot Interaction10.1145/3675784Online publication date: 16-Jul-2024
https://doi.org/10.1145/3675784
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
https://dl.acm.org/doi/10.1145/3643834.3661505
Ehsan UPassi SLiao QChan LLee IMuller MRiedl M(2024)The Who in XAI: How AI Background Shapes Perceptions of AI ExplanationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642474(1-32)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642474
Yu XHoggenmüller MTomitsch M(2024)From Agent Autonomy to Casual Collaboration: A Design Investigation on Help-Seeking Urban RobotsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642389(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642389
Tagliamonte CMaccaline DLeMasurier GYanco HGrollman DBroadbent EJu WSoh HWilliams T(2024)A Generalizable Architecture for Explaining Robot Failures Using Behavior Trees and Large Language ModelsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640551(1038-1042)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640551
Mahadevan KChien JBrown NXu ZParada CXia FZeng ATakayama LSadigh DGrollman DBroadbent EJu WSoh HWilliams T(2024)Generative Expressive Robot Behaviors using Large Language ModelsProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634999(482-491)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634999
Bobu APeng AAgrawal PShah JDragan AGrollman DBroadbent EJu WSoh HWilliams T(2024)Aligning Human and Robot RepresentationsProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634987(42-54)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634987
LeMasurier GGautam AHan ZCrandall JYanco HGrollman DBroadbent EJu WSoh HWilliams T(2024)Reactive or Proactive? How Robots Should Explain FailuresProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634963(413-422)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634963
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