Soldier-Robot Team Communication: An Investigation of Exogenous Orienting Visual Display Cues and Robot Reporting Preferences

Abstract

As more focus is directed at technology for the future dismounted warfighter, new autonomous systems are being developed to enable bidirectional Soldier robot dialogue. These autonomous systems implement multimodal communication methods to ensure communication robustness across operational environments. This research investigation had 2 major focuses: 1) investigate the use of exogenous orienting visual cues during unidirectional communication from a robot to a Soldier through a visual display and 2) investigate Soldier preferences for robot reporting of status information. Results under the first focus showed the longer it took to respond to a visual report, the higher the associated perceived workload and the lower the usability preference. Results under the second focus showed that the frequency with which participants expected status updates differed depending upon the difficulty of the primary task. In addition, most participants (75 ) quickly and consistently identified a preferred report format (image or text). Recommendations for visual display designs are provided as well as suggestions for instantiating reporting capabilities within future robot teammates.

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Document Details

Document Type
Technical Report
Publication Date
Feb 12, 2018
Accession Number
AD1048418

Entities

People

  • Andrew B. Talone
  • Daniel Barber
  • Elizabeth Phillips
  • Florian Jentsch
  • Julian Iv Abrich
  • Linda R. Elliott
  • Rodger Pettitt

Organizations

  • University of Central Florida

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Autonomous Systems
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computers
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Robot Interaction
  • Information Systems
  • Mobile Devices
  • Mobile Phones
  • Psychology
  • Situational Awareness
  • Systems Engineering
  • Task Performance And Analysis
  • Unmanned Systems
  • Unmanned Underwater Vehicles

Readers

  • Human-Computer Interaction (HCI).
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy