What Is Hidden in Clear Sight and How to Find It—A Survey of the Integration of Artificial Intelligence and Eye Tracking

Author:

Kędras Maja1ORCID,Sobecki Janusz1ORCID

Affiliation:

1. Department of Informatics, Faculty of Computer Systems and Management, Wrocław University of Science and Technology, 50-370 Wrocław, Poland

Abstract

This paper presents an overview of the uses of the combination of eye tracking and artificial intelligence. In the paper, several aspects of both eye tracking and applied AI methods have been analyzed. It analyzes the eye tracking hardware used along with the sampling frequency, the number of test participants, additional parameters, the extraction of features, the artificial intelligence methods used and the methods of verification of the results. Finally, it includes a comparison of the results obtained in the analyzed literature and a discussion about them.

Publisher

MDPI AG

Subject

Information Systems

Reference108 articles.

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2. Bojko, A. (2013). Eye Tracking the User Experience: A Practical Guide to Research, Rosenfeld Media.

3. Russell, S.J., and Norvig, P. (2009). Artificial Intelligence: A Modern Approach, Prentice Hall. [3rd ed.].

4. Bishop, C.M. (2006). Pattern Recognition and Machine Learning, Springer.

5. Kitchenham, B., and Charters, S. (2007). Guidelines for Performing Systematic Literature Reviews in Software Engineering, Keele. Version 2.3; Technical Report, EBSE Technical Report EBSE-2007-01; Keele University and Durham University Joint Report.

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