Adaptive Delegation Interfaces (ADI) for Improved Situation Awareness and Reduction of Workload in Controlling Multiple Unmanned Vehicles (UV)

Abstract

A design is proposed for an Adaptive Delegation Interface (ADI) to support human operators in controlling multiple UVs. The ADI can enhance system performance by (1) providing the operator flexibility to allocate UV automation in response to changes in workload and task complexity; and (2) adaptively selecting information to support instantaneous task needs. The proposed project will develop new ADI concepts and evaluate them experimentally in a realistic simulation environment. This paper describes the concept of ADI, the current interface design, and its integration within a military simulation environment.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2007
Accession Number
ADA502517

Entities

People

  • Amos Freedy
  • Elan Freedy
  • Ewart J de Visser
  • Gershon Weltman
  • Nicole Coeyman
  • Raja Parasuraman

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Cognitive Workload
  • Command And Control
  • Ground Vehicles
  • Human-Machine Systems
  • Human-Robot Interaction
  • Psychology
  • Situational Awareness
  • Unmanned
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Vehicles
  • Workload

Fields of Study

  • Computer science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Parallel and Distributed Computing.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction