Using eye-tracking into decision makers evaluation in evolutionary interactive UA-FLP algorithms
Autor
Salas-Morera, Lorenzo
García-Hernández, Laura
Antolí Cabrera, Adoración
Carmona-Muñoz, Carlos
Editor
Springer NatureFecha
2020Materia
User ergonomicsUser fatigue
Engineering design
UA-FLP
Artificial neural networks
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Unequal area facility layout problem is an important issue in the design of industrial plants, as well as other fields such as hospitals or schools, among others. While participating in an interactive designing process, the human user is required to evaluate a high number of proposed solutions, which produces them fatigue both mental and physical. In this paper, the use of eye-tracking to estimate user’s evaluations from gaze behavior is investigated. The results show that, after a process of training and data taking, it is possible to obtain a good enough estimation of the user’s evaluations which is independent of the problem and of the users as well. These promising results advice to use eye-tracking as a substitute for the mouse during users’ evaluations.