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User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms.

Jose Antonio Diego-Mas1, Diana Garzon-Leal2, Rocio Poveda-Bautista3

  • 1I3B, Institute for Research and Innovation in Bioengineering, Universitat Politecnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.

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This study introduces an automated method using eye-tracking and mouse-tracking data to optimize software interface layouts. The approach enhances user effectiveness, efficiency, and satisfaction with generated designs.

Keywords:
Eye-trackingGenetic algorithmsInterfacesLayout

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Area of Science:

  • Human-Computer Interaction
  • Software Engineering
  • Computational Intelligence

Background:

  • Optimizing software interface layouts with numerous controls is challenging.
  • Existing methods often yield conceptual designs requiring manual adjustments for practical application.

Purpose of the Study:

  • To propose an automated procedure for generating optimal software-based interface layouts.
  • To leverage user interaction data for layout configuration.

Main Methods:

  • Utilizing eye-tracking and mouse-tracking data during interface use.
  • Employing a slicing-trees based genetic algorithm for solution generation.
  • Ensuring generated layouts respect geometrical restrictions.

Main Results:

  • The automated procedure generates applicable interface configurations.
  • User interaction data effectively informs layout optimization.
  • The algorithm successfully respects interface element constraints.

Conclusions:

  • The proposed automated procedure significantly improves user interaction with software interfaces.
  • This method enhances user effectiveness, efficiency, and satisfaction.
  • It offers a practical solution for complex interface layout design.