Article

Assessing the scalability of a multiple robot interface

Authors:

Curtis M. Humphrey,

Christopher Henk,

Brian W. Williams,

Julie A. AdamsAuthors Info & Claims

HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot interaction

Pages 239 - 246

https://doi.org/10.1145/1228716.1228749

Published: 10 March 2007 Publication History

Abstract

As multiple robot systems become more common, it is necessary to develop scalable human-robot interfaces that permit the inclusion of additional robots without reducing the overall system performance. Workload and situational awareness play key roles in determining the ratio of m operators to n robots. A scalable interface, where m is much smaller than n, will have to manage the operator's workload and promote a high level of situation awareness. This work focused on the development of a scalable interface for a single human-multiple robot system. This interface introduces a relational "halo display that augments a camera view to promote situational awareness and the management of multiple robots by providing information regarding the robots' relative locations with respect to a selected robot. An evaluation was conducted to determine the scalability of the interface focusing on the effects of increasing the number of robots on workload, situation awareness, and robot usage. Twenty participants completed two bomb defusing tasks: one employing six robots, the other nine. The results indicated that increasing the number of robots increased overall workload and the operator's situation awareness.

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Petlowany CPryor MHahn N(2024)Gaze-based Augmented Reality Interfaces to Support Scalable Human-Robot Teaming2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731399(1899-1906)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731399
Xie XMcNamara TBodenheimer B(2024)Divided Attention in Human-Robot Teaming: Assessing Performance in Large-Scale Interactive Virtual EnvironmentsSpatial Cognition XIII10.1007/978-3-031-63115-3_8(114-127)Online publication date: 23-Jun-2024
https://doi.org/10.1007/978-3-031-63115-3_8
Seaborn KBarbareschi GChandra S(2023)Not Only WEIRD but “Uncanny”? A Systematic Review of Diversity in Human–Robot Interaction ResearchInternational Journal of Social Robotics10.1007/s12369-023-00968-415:11(1841-1870)Online publication date: 8-Mar-2023
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Index Terms

Assessing the scalability of a multiple robot interface
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. HCI theory, concepts and models
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design
    2. Interaction design theory, concepts and paradigms

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Published In

cover image ACM Conferences

HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot interaction

March 2007

392 pages

ISBN:9781595936172

DOI:10.1145/1228716

General Chairs:
Cynthia Breazeal
Massachusetts Institute of Technology, USA
,
Alan C. Schultz
Naval Research Laboratory, USA
,
Program Chairs:
Terry Fong
NASA Ames Research Center, USA
,
Sara Kiesler
Carnegie Mellon University, USA

Copyright © 2007 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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Published: 10 March 2007

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HRI07: International Conference on Human Robot Interaction

March 10 - 12, 2007

Virginia, Arlington, USA

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HRI '07 Paper Acceptance Rate 22 of 101 submissions, 22%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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https://doi.org/10.1109/RO-MAN60168.2024.10731399
Xie XMcNamara TBodenheimer B(2024)Divided Attention in Human-Robot Teaming: Assessing Performance in Large-Scale Interactive Virtual EnvironmentsSpatial Cognition XIII10.1007/978-3-031-63115-3_8(114-127)Online publication date: 23-Jun-2024
https://doi.org/10.1007/978-3-031-63115-3_8
Seaborn KBarbareschi GChandra S(2023)Not Only WEIRD but “Uncanny”? A Systematic Review of Diversity in Human–Robot Interaction ResearchInternational Journal of Social Robotics10.1007/s12369-023-00968-415:11(1841-1870)Online publication date: 8-Mar-2023
https://doi.org/10.1007/s12369-023-00968-4
Lin TKrishnan ALi Z(2022)Intuitive, Efficient and Ergonomic Tele-Nursing Robot Interfaces: Design Evaluation and EvolutionACM Transactions on Human-Robot Interaction10.1145/352610811:3(1-41)Online publication date: 13-Jul-2022
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