Layout placement optimization methods using repeated user interface sequence patterns for client applications

Jihye Chung, Seongjin Hong, Youngbin Kim, S. J. Kang, Changhun Kim

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

We propose a method for automatically optimizing the layout placement of user interfaces in commercial applications. The proposed method suggests an optimal user interface component placement layout for an application by considering behavior cost, repeated user interface sequences, and preferred placement area. We used the Apriori algorithm and a genetic algorithm efficiently to optimize user interface component placement based on the evaluation of a keystroke-level model. We verified the effectiveness of the proposed method using a customizable user interface for three applications, namely, Adobe Photoshop, 3DS MAX, and the massively multiplayer online role-playing game “World of Warcraft.” Our experimental results show that the proposed system can both reduce the behavioral cost of an application at the user level and enable efficient user interface usage by considering interrelationship patterns among user interface components.

Original languageEnglish
Pages (from-to)357-370
Number of pages14
JournalInformation Visualization
Volume18
Issue number3
DOIs
Publication statusPublished - 2019 Jul 1

Keywords

  • Adaptive user interfaces
  • genetic algorithm
  • keystroke-level model
  • user-generated user interface

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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