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

Published: 26 April 2014 Publication History

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

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  • (2023)Managing Delays in Human-Robot InteractionACM Transactions on Computer-Human Interaction10.1145/356989030:4(1-42)Online publication date: 12-Sep-2023
  • (2022)Human–Machine Interface for Remote Crane Operation: A ReviewMultimodal Technologies and Interaction10.3390/mti60600456:6(45)Online publication date: 10-Jun-2022
  • (2019)Kinova Modular Robot Arms for Service Robotics ApplicationsRapid Automation10.4018/978-1-5225-8060-7.ch032(693-719)Online publication date: 2019
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    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
    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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    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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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

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

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    Cited By

    View all
    • (2023)Managing Delays in Human-Robot InteractionACM Transactions on Computer-Human Interaction10.1145/356989030:4(1-42)Online publication date: 12-Sep-2023
    • (2022)Human–Machine Interface for Remote Crane Operation: A ReviewMultimodal Technologies and Interaction10.3390/mti60600456:6(45)Online publication date: 10-Jun-2022
    • (2019)Kinova Modular Robot Arms for Service Robotics ApplicationsRapid Automation10.4018/978-1-5225-8060-7.ch032(693-719)Online publication date: 2019
    • (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
    • (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
    • (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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