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    Measuring operator anticipatory inputs in response to time-delay for teleoperated human-robot interfaces

    Published:26 April 2014Publication History
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    Abstract

    Many tasks call for efficient user interaction under time delay-controlling space instruments, piloting remote aircraft and operating search and rescue robots. In this paper we identify an underexplored design opportunity for building robotic teleoperation user interfaces following an evaluation of operator performance during a time-delayed robotic arm block-stacking task in twenty-two participants. More delay resulted in greater operator hesitation and a decreased ratio of active to inactive input. This ratio can serve as a useful proxy for measuring an operator's ability to anticipate the outcome of their control inputs before receiving delayed visual feedback. High anticipatory input ratio (AIR) scores indicate times when robot operators enter commands before waiting for visual feedback. Low AIR scores highlight when operators must wait for visual feedback before continuing. We used this measurement to help us identify particular sub-tasks where operators would likely benefit from additional support.

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    Cited By

    View all
    • Sitompul TFahlén TLindell R(2024)Handling constant and changing latency with graphical user interfaces: a study with remote crane operators2024 IEEE Conference on Telepresence10.1109/Telepresence63209.2024.10841516(49-56)Online publication date: 16-Nov-2024
    • Pelikan HHofstetter E(2023)Managing Delays in Human-Robot InteractionACM Transactions on Computer-Human Interaction10.1145/356989030:4(1-42)Online publication date: 12-Sep-2023
    • Sitompul T(2022)Human–Machine Interface for Remote Crane Operation: A ReviewMultimodal Technologies and Interaction10.3390/mti60600456:6(45)Online publication date: 10-Jun-2022
    • Show More Cited By

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    1. Measuring operator anticipatory inputs in response to time-delay for teleoperated human-robot interfaces

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      Published In

      cover image ACM Conferences
      CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2014
      4206 pages
      ISBN:9781450324731
      DOI:10.1145/2556288
      Copyright © 2014 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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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 April 2014

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      Author Tags

      1. human-robot interface
      2. metric
      3. teleoperation
      4. time delay

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      • Research-article

      Conference

      CHI '14
      Sponsor:
      CHI '14: CHI Conference on Human Factors in Computing Systems
      April 26 - May 1, 2014
      Ontario, Toronto, Canada

      Acceptance Rates

      CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

      Upcoming Conference

      CHI PLAY '25
      The Annual Symposium on Computer-Human Interaction in Play
      October 13 - 16, 2025
      Pittsburgh , PA , USA

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      Citations

      Cited By

      View all
      • Sitompul TFahlén TLindell R(2024)Handling constant and changing latency with graphical user interfaces: a study with remote crane operators2024 IEEE Conference on Telepresence10.1109/Telepresence63209.2024.10841516(49-56)Online publication date: 16-Nov-2024
      • Pelikan HHofstetter E(2023)Managing Delays in Human-Robot InteractionACM Transactions on Computer-Human Interaction10.1145/356989030:4(1-42)Online publication date: 12-Sep-2023
      • Sitompul T(2022)Human–Machine Interface for Remote Crane Operation: A ReviewMultimodal Technologies and Interaction10.3390/mti60600456:6(45)Online publication date: 10-Jun-2022
      • Campeau-Lecours ALamontagne HLatour SFauteux PMaheu VBoucher FDeguire CL'Ecuyer L(2019)Kinova Modular Robot Arms for Service Robotics ApplicationsRapid Automation10.4018/978-1-5225-8060-7.ch032(693-719)Online publication date: 2019
      • Sato RKamezaki MSugano SIwata H(2018)A Basic Framework of View Systems Allowing Teleoperators to Pre-Acquire Spatial Knowledge from Survey and Route PerspectivesPRESENCE: Virtual and Augmented Reality10.1162/pres_a_0033327:3(309-332)Online publication date: 1-Aug-2018
      • Campeau-Lecours ALamontagne HLatour SFauteux PMaheu VBoucher FDeguire CL'Ecuyer L(2017)Kinova Modular Robot Arms for Service Robotics ApplicationsInternational Journal of Robotics Applications and Technologies10.4018/IJRAT.20170701045:2(49-71)Online publication date: 1-Jul-2017
      • Srinivasan LScharnagl JHerrmann CSchilling K(2015)Adaptive teleoperation using intelligent dynamic votingIFAC-PapersOnLine10.1016/j.ifacol.2015.08.11748:10(111-116)Online publication date: 2015

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      Affiliations

      JonathanBidwell
      Georgia Institute of Technology, Atlanta, GA, USA
      AlexandraHolloway
      Jet Propulsion Laboratory, Pasadena, CA, USA
      ScottDavidoff
      Jet Propulsion Laboratory, Pasadena, CA, USA
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