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A comparison of audible, visual, and multi-modal communication for multi-robot supervision and situational awareness

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Abstract

Multi-robot supervision becomes increasingly cognitively demanding as the ratio of robots to human supervisors rises, potentially leading to situational awareness (SA) losses and robot system failures. Nonverbal cues have been employed to direct supervisor attention and prevent awareness loss in diverse human-computer interaction (HCI) settings. This paper compares the effects of uni-modal and multi-modal audiovisual nonverbal cues on supervisor SA in a multi-robot supervision task. In a simulation-based navigation scenario, 50 participants monitored a multi-robot mission and responded to supervision requests from the robots. We evaluated supervisor SA using response speed and the situational awareness global assessment technique. Results demonstrate that supervisor awareness hinges on the communication method employed by the robots, with greater significance observed at higher awareness levels and when the robot-to-human ratio is higher. Findings also indicate the utility of sonification mapping in human-multirobot interactions and the benefits of multi-modal cues for sustaining awareness during multi-robot supervision.

Original languageEnglish
Title of host publication2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
EditorsCecilia Laschi
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages8802-8809
Number of pages8
ISBN (Electronic)9798350377705
ISBN (Print)9798350377712
DOIs
Publication statusPublished - 2024
EventIEEE/RSJ International Conference on Intelligent Robots and Systems 2024 - Abu Dhabi, United Arab Emirates
Duration: 14 Oct 202418 Oct 2024
https://ieeexplore.ieee.org/xpl/conhome/10801246/proceeding (published proceedings)
https://iros2024-abudhabi.org/ (Website)

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems 2024
Abbreviated titleIROS 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period14/10/2418/10/24
Internet address

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