Eye Tracking While Answering Questions in Electronic Multimedia Environments

Abstract

This research project collected eye tracking data while adults answered questions, asked questions, and interacted with electronic media. We tested computational models of question answering (QUEST), question comprehension difficulty (QUAID), and question asking (PREG) in four contexts: (1) answering questions on government questionnaires, (2) comprehending illustrated texts on mechanical and electronic devices, (3) reading Navy recruiting material on the web, and (4) engaging in collaborative dialog with an intelligent computer tutor (AutoTutor) that teaches students computer literacy. Five eye tracking experiments were conducted in these empirical tests of the models. Measures of eye tracking in these tasks were correlated with measures of individual differences in some of these experiments. This research has direct a applications to survey research methodology, recruiting, training, and selection & classification.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 2002
Accession Number
ADA409047

Entities

People

  • Arthur C. Graesser

Organizations

  • University of Memphis

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Cognitive Systems Engineering
  • Comprehension
  • Computational Linguistics
  • Computers
  • Education
  • Educational Psychology
  • Environment
  • Governments
  • Language
  • Linguistics
  • Military Research
  • Psychology
  • Students
  • Surveys
  • Training

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.
  • STEM Education

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems