A Generalized Process Model of Human Action Selection and Error and its Application to Error Prediction

Abstract

Our model of action selection and postcompletion error in two form filling tasks extends to skip errors in a story telling task. We also discuss how it explains perseverations in one of the aforementioned form filling tasks. Finally we discuss a predictive classifier application we built from the model's data. The classifier could allow an autonomous agent to know when it is a bad time to interrupt a human, when a human is about to err, and how to help.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2014
Accession Number
ADA619030

Entities

People

  • Franklin P. Tamborello Ii
  • J. Gregory Trafton

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Autonomous Agents
  • Coding
  • Cognitive Science
  • Cognitive Systems Engineering
  • Control Systems
  • Data Science
  • Energy Production
  • Errors
  • Financial Management
  • Human-Computer Interaction
  • Machine Learning
  • Military Research
  • New York
  • Pattern Recognition
  • Probability
  • Probability Distributions
  • Standards

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.