LASSOing HRI: Analyzing Situation Awareness in Map-Centric and Video-Centric Interfaces

Abstract

Good situation awareness (SA) is especially necessary when robots and their operators are not collocated, such as in urban search and rescue (USAR). This paper compares how SA is attained in two systems: one that has an emphasis on video and another that has an emphasis on a three-dimensional map. We performed a within-subjects study with eight USAR domain experts. To analyze the utterances made by the participants, we developed a SA analysis technique, called LASSO, which includes five awareness categories: location, activities, surroundings, status, and overall mission. Using our analysis technique, we show that a map-centric interface is more effective in providing good location and status awareness while a video-centric interface is more effective in providing good surroundings and activities awareness.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
AD1106821

Entities

People

  • Brenden Keyes
  • Holly Ann Yanco
  • Jill L. Drury

Organizations

  • MITRE Corporation
  • University of Massachusetts Lowell

Tags

DTIC Thesaurus Topics

  • Aircrafts
  • Cognitive Systems Engineering
  • Collision Avoidance
  • Computer Programming
  • Computer Science
  • Computers
  • Cybernetics
  • Environment
  • Experimental Design
  • Graphical User Interface
  • Hard Copy
  • Human Robot Interaction
  • Human-Robot Interaction
  • Laser Rangefinding
  • Massachusetts
  • Robotics
  • Robots
  • Search And Rescue
  • Situational Awareness
  • Standards
  • Three Dimensional
  • Universities
  • Unmanned Aerial Vehicles
  • User Interface
  • Video

Readers

  • 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
  • Autonomy - Human-Robot Interaction