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Fan-out: measuring human control of multiple robots

Published: 25 April 2004 Publication History

Abstract

A goal of human-robot interaction is to allow one user to operate multiple robots simultaneously. In such a scenario the robots provide leverage to the user's attention. The number of such robots that can be operated is called the fan-out of a human-robot team. Robots that have high neglect tolerance and lower interaction time will achieve higher fan-out. We define an equation that relates fan-out to a robot's activity time and its interaction time. We describe how to measure activity time and fan-out. We then use the fan-out equation to compute interaction effort. We can use this interaction effort as a measure of the effectiveness of a human-robot interaction design. We describe experiments that validate the fan-out equation and its use as a metric for improving human-robot interaction.

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cover image ACM Conferences
CHI '04: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
April 2004
742 pages
ISBN:1581137028
DOI:10.1145/985692
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: 25 April 2004

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Author Tags

  1. fan-out
  2. human-robot interaction
  3. multiple robots

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Cited By

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  • (2024)Show Me What's Wrong: Impact of Explicit Alerts on Novice Supervisors of a Multi-Robot Monitoring SystemProceedings of the Second International Symposium on Trustworthy Autonomous Systems10.1145/3686038.3686069(1-17)Online publication date: 16-Sep-2024
  • (2023)Virtual, Augmented, and Mixed Reality for Human-robot Interaction: A Survey and Virtual Design Element TaxonomyACM Transactions on Human-Robot Interaction10.1145/359762312:4(1-39)Online publication date: 31-May-2023
  • (2023)“I am both here and there” Parallel Control of Multiple Robotic Avatars by Disabled Workers in a CaféProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581124(1-17)Online publication date: 19-Apr-2023
  • (2023)Cooperation for Scalable Supervision of Autonomy in Mixed TrafficIEEE Transactions on Robotics10.1109/TRO.2023.326212039:4(2751-2769)Online publication date: Aug-2023
  • (2023)Heuristics for Multi-Vehicle Routing Problem Considering Human-Robot InteractionsIEEE Transactions on Intelligent Vehicles10.1109/TIV.2023.32612748:5(3228-3238)Online publication date: May-2023
  • (2022)Characterization of Indicators for Adaptive Human-Swarm TeamingFrontiers in Robotics and AI10.3389/frobt.2022.7459589Online publication date: 17-Feb-2022
  • (2022)Scalable Operator Allocation for Multirobot Assistance: A Restless Bandit ApproachIEEE Transactions on Control of Network Systems10.1109/TCNS.2022.31538729:3(1397-1408)Online publication date: Sep-2022
  • (2022)Towards evaluating the impact of swarm robotic control strategy on operators’ cognitive load2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900763(217-223)Online publication date: 29-Aug-2022
  • (2021)Multirobot Confidence and Behavior Modeling: An Evaluation of Semiautonomous Task Performance and EfficiencyRobotics10.3390/robotics1002007110:2(71)Online publication date: 17-May-2021
  • (2021)Emergent Behavior in Swarms with On-board Sensing2021 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI50451.2021.9660057(1-8)Online publication date: 5-Dec-2021
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