Improved Situational Awareness and Performance with Dynamic Task-Based Overlays for Teleoperation

  • Emmanuel Akita
  • , Guy Zaidner
  • , Mitch Pryor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Teleoperation remains an essential mode of robot control, especially in hazardous, uncertain environments. However, it presents multiple challenges such as latency, limited depth perception and constrained field of view. In this work, we introduce dynamic 2D GUI designs that leverage psychophysics principles to align with human perception and decision-making. These designs seamlessly integrate depth information, force feedback, and system status by overlaying real-time task-relevant data onto either 2D or 3D views. To assess their effectiveness, we compare them with HMD displays. The results indicate superior user task performance, marked by fewer "control mode"switches, reduced errors and collisions, and a 100% task completion rate. Furthermore, users reported heightened task confidence levels and improved situational awareness when using the dynamic 2D GUI designs.

Original languageEnglish
Title of host publicationProceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction, TAHRI 2024
PublisherAssociation for Computing Machinery
Pages65-73
Number of pages9
ISBN (Electronic)9798400716614
DOIs
StatePublished - 9 Mar 2024
Externally publishedYes
Event2024 International Symposium on Technological Advances in Human-Robot Interaction, TAHRI 2024 - Boulder, United States
Duration: 9 Mar 202410 Mar 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2024 International Symposium on Technological Advances in Human-Robot Interaction, TAHRI 2024
Country/TerritoryUnited States
CityBoulder
Period9/03/2410/03/24

Keywords

  • Mobile Manipulator
  • Situational Awareness
  • Teleoperation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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