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International Work-Conference on Artificial Neural Networks

IWANN 2017: Advances in Computational Intelligence pp 145–156Cite as

Application of an Eye Tracker Over Facility Layout Problem to Minimize User Fatigue

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10305))

Abstract

With interactive evolutionary computation it is possible to introduce the subjective preferences of the decision maker within the general algorithm evolution criteria. The problem that generates this is user fatigue, since it has to evaluate a considerable number of plants designs in each generation. To avoid user fatigue it is proposed to substitute the direct evaluation through the mouse by means of a numerical scale by an eye tracking system in which the system “captures” the evaluation that the user assigns to the plants through the gaze behavior. This article presents a first approximation to this solution. The results obtained in the experiments are promising and a clear relationship between the parameters that define the gaze behavior of the user with the score assigned to the designs can be seen.

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Author information

Authors and Affiliations

  1. Area of Project Engineering, University of Córdoba, Córdoba, Spain

    Juan García-Saravia, Lorenzo Salas-Morera & Laura García-Hernández

  2. Department of Psychology, University of Córdoba, Córdoba, Spain

    Adoración Antolí Cabrera

Authors
  1. Juan García-Saravia
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  2. Lorenzo Salas-Morera
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  3. Laura García-Hernández
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  4. Adoración Antolí Cabrera
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Corresponding author

Correspondence to Juan García-Saravia .

Editor information

Editors and Affiliations

  1. Universidad de Granada , Granada, Spain

    Ignacio Rojas

  2. University of Malaga , Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Barcelona, Spain

    Andreu Catala

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García-Saravia, J., Salas-Morera, L., García-Hernández, L., Antolí Cabrera, A. (2017). Application of an Eye Tracker Over Facility Layout Problem to Minimize User Fatigue. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10305. Springer, Cham. https://doi.org/10.1007/978-3-319-59153-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-59153-7_13

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-59153-7

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