TY - JOUR
T1 - Layout placement optimization methods using repeated user interface sequence patterns for client applications
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
UR - http://www.scopus.com/inward/record.url?scp=85061568860&partnerID=8YFLogxK
U2 - 10.1177/1473871618825334
DO - 10.1177/1473871618825334
M3 - Article
AN - SCOPUS:85061568860
SN - 1473-8716
VL - 18
SP - 357
EP - 370
JO - Information Visualization
JF - Information Visualization
IS - 3
ER -