Eye Tracking While Answering Questions in Electronic Multimedia Environments
Final rept. 1 Jun 2001-30 Sep 2002
MEMPHIS UNIV TN
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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.
- Human Factors Engineering and Man Machine Systems