skip to main content
10.1145/3434074.3447214acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
short-paper

Reducing Cognitive Workload in Telepresence Lunar - Martian Environments Through Audiovisual Feedback in Augmented Reality

Published:08 March 2021Publication History

ABSTRACT

Navigating through an unknown, and perhaps resource-constrained environment, such as Lunar terrain or through a disaster region can be detrimental - e.g. both physically and cognitively exhausting. Difficulties during navigation can cost time, operational resources, or even a life. To this end, the interaction with a robotic exploration system in lunar or Martian environments could be key to successful exploration extravehicular activities (X-EVA). Through the use of augmented reality (AR) we can afford an astronaut with various capabilities. In particular, we focus on two: (1) The ability to obtain and display information on their current position, on important locations, and on essential objects in an augmented space. (2) The ability to control an exploratory robot system, or smart robotic tools using AR interfaces. We present our ongoing development of such AR robot control interfaces and the feedback system being implemented. This work extends the augmented reality robot navigation and audio spatial feedback components presented at the 2020 National Aeronautics and Space Administration (NASA) SUITS Challenge.

References

  1. A.F.J. Abercromby, B. K. Alpert, J. S. Cupples, E. L. Dillon, A. Garbino, Y. Hernandez, C. Kovich, M. J. Miller, J. Norcross, C. W. Pittman, S. Rajulu, and R. A. Rhodes. 2019. Integrated Extravehicular Activity Human Research and Testing Plan: 2019.Google ScholarGoogle Scholar
  2. Irvin Steve Cardenas and Jong-Hoon Kim. 2019. Design of a Semi-Humanoid Telepresence Robot for Plant Disaster Response and Prevention. In 2019 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS).Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Irvin Steve Cardenas, Caitlyn Lenhoff, Michelle Park, Tina Yuqiao Xu, Xiangxu Lin, Pradeep Kumar Paladugula, and Jong-Hoon Kim. 2020. AARON: Assistive Augmented Reality Operations and Navigation System for NASA's Exploration Extravehicular Mobility Unit (xEMU). In 2020 Proceedings of 12th International Conference on Intelligent Human-Computer Interaction IHCI (Daegu, Sout Korea).Google ScholarGoogle Scholar
  4. Irvin Steve Cardenas, K. Vitullo, M. Park, J-H. Kim, M. Benitez, C. Chen, and L. Ohrn-McDaniels. 2019. Telesuit: An Immersive User-Centric Telepresence Control Suit. In 2019 ACM/IEEE Int. Conf. on Human-Robot Interaction HRI (Daegu, Republic of South Korea).Google ScholarGoogle Scholar
  5. S. P. Chappell, Jason R. Norcross, Andrew F.J. Abercromby, Omar S. Bekdash, Elizabeth A. Benson, Sarah L. Jarvis, J. Conkin, Michael L. Gernhardt, N. House, J. Jadwick, Jeffrey A. Jones, Lesley R. Lee, Richard A. Scheuring, and Jennifer A. Tuxhorn. 2015. Risk of Injury and Compromised Performance Due to EVA Operations.Google ScholarGoogle Scholar
  6. W. Hönig, C. Milanes, L. Scaria, T. Phan, M. Bolas, and N. Ayanian. 2015. Mixed reality for robotics. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5382--5387. https://doi.org/10.1109/IROS.2015.7354138Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Nicolas LaLone, Sultan A. Alharthi, and Z O. Toups. 2019. A Vision of Augmented Reality for Urban Search and Rescue. In Proceedings of the Halfway to the Future Symposium 2019 (New York, NY, USA) (HTTF 2019). Association for Computing Machinery, New York, NY, USA, Article 22, 4 pages. https://doi.org/10.1145/3363384.3363466Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. R. R. Murphy. 2004. Human-robot interaction in rescue robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 34, 2 (2004), 138--153. https://doi.org/10.1109/TSMCC.2004.826267Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Reducing Cognitive Workload in Telepresence Lunar - Martian Environments Through Audiovisual Feedback in Augmented Reality

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
      March 2021
      756 pages
      ISBN:9781450382908
      DOI:10.1145/3434074
      • General Chairs:
      • Cindy Bethel,
      • Ana Paiva,
      • Program Chairs:
      • Elizabeth Broadbent,
      • David Feil-Seifer,
      • Daniel Szafir

      Copyright © 2021 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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 8 March 2021

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper

      Acceptance Rates

      Overall Acceptance Rate192of519submissions,37%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader