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Task Influence on Perceptions of a Person-Following Robot and Following-Angle Preferences

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Published:02 May 2019Publication History

ABSTRACT

To improve the design of a person-following robot, this preliminary study evaluates the influence of user tasks on human preferences of the robot's following angle and human perceptions of the robot's behavior. 32 participants were followed by a robot at three different following angles twice, once with an auditory task and once with a visual task, for a total of six walking trials. Results indicate that the type of user task influences participant preferences and perceptions. For the auditory task, as the following angle increased, participants were more satisfied with the robot's following behavior. For the visual task, as the following angle increased, participants were less satisfied with the robot's following behavior. In addition, participants were more perceptive of the robot's following behavior for the auditory task compared to the visual task. Additional research is required to better understand whether human preferences and perceptions depend on task modality or task complexity.

References

  1. Shanee Honig, Dror Katz, Tal Oron-Gilad, and Yael Edan. 2016. The influence of following angle on performance metrics of a human-following robot. In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). 593--598.Google ScholarGoogle Scholar
  2. Shanee Honig, Tal Oron-Gilad, Hanan Zaichyk, Vardit Sarne-Fleischmann, Samuel Olatunji, and Yael Edan. 2018. Toward Socially Aware Person-Following Robots. IEEE Transactions on Cognitive and Developmental Systems 10, 4 (2018), 936--954.Google ScholarGoogle ScholarCross RefCross Ref
  3. K. Lee Koay, D. S. Syrdal, M. L. Walters, and K. Dautenhahn. 2007. Living with Robots: Investigating the Habituation Effect in Participants' Preferences During a Longitudinal Human-Robot Interaction Study. In RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication. 564--569.Google ScholarGoogle Scholar
  4. Jose Maria Martínez-Otzeta, Aitor Ibarguren, Ander Ansuategi, and Loreto Susperregi. 2009. Laser Based People Following Behaviour in an Emergency Environment. In Intelligent Robotics and Applications. Springer Berlin Heidelberg, 33--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Vardit Sarne-Fleischmann, Shanee Honig, and Tal Oron-Gilad. 2018. Proxemic Preferences when being Followed by a Robot. Technical Report. Israeli Ministry Science Technology, Rep. 3--12060, 2018. https://talorongilad.com/research-laboratories/ follow-me-design-for-person-following-robots/Google ScholarGoogle Scholar

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  1. Task Influence on Perceptions of a Person-Following Robot and Following-Angle Preferences

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      • Published in

        cover image ACM Conferences
        CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
        May 2019
        3673 pages
        ISBN:9781450359719
        DOI:10.1145/3290607

        Copyright © 2019 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: 2 May 2019

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