Using Models of Cognition in HRI Evaluation and Design

Abstract

In designing and evaluating human-machine systems, cognitive models can be used to (a) provide design principles and (b) guide the construction of experiments. In this paper, we present an information processing model of cognition that we have used extensively in designing and evaluating interfaces and autonomy modes. This model uses a conventional description of short-term memory, but treats long-term memory as a collection of mental models specific for particular tasks. Working memory includes components of both short term and long term memory; short term memory acts as a "scratch" pad for an activated subset of long-term memory. We review this model and discuss how it has been used in several human-robot systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA451419

Entities

People

  • Michael A Goodrich

Organizations

  • Brigham Young University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Aircrafts
  • Cognition
  • Cognitive Science
  • Cognitive Workload
  • Computer Science
  • Computers
  • Control Surfaces
  • Human Behavior
  • Human Factors Engineering
  • Human-Machine Systems
  • Human-Robot Interaction
  • Information Processing
  • Psychology
  • Robots
  • Test And Evaluation
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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