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

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

doi:10.1177/1473871618825334

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 journal › Article › peer-review

4 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 language	English
Pages (from-to)	357-370
Number of pages	14
Journal	Information Visualization
Volume	18
Issue number	3
DOIs	https://doi.org/10.1177/1473871618825334
Publication status	Published - 2019 Jul 1

Bibliographical note

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B2005380, 2017R1D1A1B03035576, NRF-2015R1A1A1A05001196).

Publisher Copyright:
© The Author(s) 2019.

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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10.1177/1473871618825334

Cite this

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title = "Layout placement optimization methods using repeated user interface sequence patterns for client applications",

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.",

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author = "Jihye Chung and Seongjin Hong and Youngbin Kim and Kang, {S. J.} and Changhun Kim",

note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B2005380, 2017R1D1A1B03035576, NRF-2015R1A1A1A05001196). Publisher Copyright: {\textcopyright} The Author(s) 2019.",

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doi = "10.1177/1473871618825334",

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AU - Chung, Jihye

AU - Hong, Seongjin

AU - Kim, Youngbin

AU - Kang, S. J.

AU - Kim, Changhun

N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B2005380, 2017R1D1A1B03035576, NRF-2015R1A1A1A05001196). Publisher Copyright: © The Author(s) 2019.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - 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.

AB - 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.

KW - Adaptive user interfaces

KW - genetic algorithm

KW - keystroke-level model

KW - user-generated user interface

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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