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Crowd of Oz: A Crowd-powered Teleoperation System for Enhanced Human-Robot Conversations

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Published:01 April 2020Publication History

ABSTRACT

We present Crowd of Oz (CoZ) -- a crowd powered system to enable real time dialogue between a Pepper robot and a user. CoZ includes media rich interfaces and advanced architecture to swiftly elicit crowd responses for the Pepper robot. We have empirically demonstrated that users can be engaged in a beneficial discussion with the crowd-powered robot, that acts as a coach to mitigate stress.

References

  1. Michael S. Bernstein, Joel Brandt, Robert C. Miller, and David R. Karger. 2011. Crowds in Two Seconds: Enabling Realtime Crowd-Powered Interfaces. In Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology (UIST '11). Association for Computing Machinery, New York, NY, USA, 33--42. https://doi.org/10.1145/2047196.2047201Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Jeffrey P. Bigham, Chandrika Jayant, Hanjie Ji, Greg Little, Andrew Miller, Robert C. Miller, Robin Miller, Aubrey Tatarowicz, Brandyn White, Samual White, and et al. 2010. VizWiz: Nearly Real-Time Answers to Visual Questions. In Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology (UIST '10). Association for Computing Machinery, New York, NY, USA, 333--342. https://doi.org/10.1145/1866029.1866080Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Christopher Crick, Sarah Osentoski, Graylin Jay, and Odest Chadwicke Jenkins. 2011. Human and Robot Perception in Large-Scale Learning from Demonstration. In Proceedings of the 6th International Conference on Human-Robot Interaction (HRI '11). Association for Computing Machinery, New York, NY, USA, 339--346. https://doi.org/10.1145/1957656.1957788Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Yim J. Desingh K. Huang Y. Jenkins OC & Lasecki WS Gouravajhala, SR. 2017. EURECA : Enhanced Understanding of Real Environments via Crowd Assistance . Sixth AAAI Conference on Human Computation and Crowdsourcing (2017).Google ScholarGoogle Scholar
  5. Walter S Lasecki, Christopher Homan, and Jeffrey P. Bigham. 2014. Architecting Real-Time Crowd-Powered Systems . Human Computation , Vol. 1, 1 (2014), 67--93. https://doi.org/10.15346/hc.v1i1.5Google ScholarGoogle ScholarCross RefCross Ref
  6. Elliot Salisbury, Sebastian Stein, and Sarvapali Ramchurn. 2015. Real-Time Opinion Aggregation Methods for Crowd Robotics. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS '15). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 841--849.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Russell Toris, David Kent, and Sonia Chernova. 2014. The robot management system: A framework for conducting human-robot interaction studies through crowdsourcing. Journal of Human-Robot Interaction , Vol. 3, 2 (2014), 25--49.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Nick Webb, David Benyon, Preben Hansen, and Oil Mival. 2010. Evaluating Human-Machine Interaction for Appropriateness . LREC Conference Proceedings , Vol. 2, 1 (2010), 84--92.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
        March 2020
        702 pages
        ISBN:9781450370578
        DOI:10.1145/3371382

        Copyright © 2020 Owner/Author

        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 April 2020

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        Overall Acceptance Rate192of519submissions,37%

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