Human-Robot Interaction Literature Review

Abstract

In the field of unmanned vehicle (UV) systems, researchers have been striving to inverse the human-robot ratio such that one operator can control multiple robots. This goal has not yet been accomplished for military applications, despite ongoing research. Research suggests that the human-robot interaction (HRI) that takes place while an operator is in control of one or more UVs needs to be improved before the ratio can be inversed. This literature review covers 53 references to provide an overview of current HRI research dealing with the operation of UVs and to identify the key human factors (HF) issues when conducting research within this area. The literature identifies three key factors in HRI research related to operating UVs for military applications: operator capacity (i.e., the number and type of UVs that a human operator controls or supervises), automation implementation, and interface design. In the literature, HRI is most often measured through the three common metrics of situational awareness (SA), workload, and task performance. In general, research shows that increasing operator capacity increases workload and decreases SA, while the corresponding impact on performance has been shown to be inconsistent. Automation and multimodal interfaces have been shown to alleviate some of the increased workload and decreased SA as operator capacity is increased. However, there is a complex interaction among the three variables. The literature suggests that adaptive automation and adaptive interfaces are promising solutions to accommodate this complex interaction, but further research and empirical studies are necessary before they can be implemented in military operations. Three additional characteristics of military applications also need to be investigated further: one operator in control of mixed UV platforms (i.e., UAVs and UGVs); operators controlling UVs in a mobile environment; and team coordination among multiple operators, each in control of multiple UVs.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA592508

Entities

People

  • Andrew Morton
  • Chris Ste-croix
  • Jordan Bray-miners

Organizations

  • HumanSystems Incorporated

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Ground Control Stations
  • Ground Vehicles
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Robot Interaction
  • Psychology
  • Target Recognition
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction