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

Author:

Chung Jihye1,Hong Seongjin2,Kim Youngbin3,Kang SJ2ORCID,Kim Changhun1

Affiliation:

1. Department of Computer Science, Korea University, Seoul, Korea

2. School of Games, Hongik University, Seoul, Korea

3. Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University, Seoul, Korea

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.

Publisher

SAGE Publications

Subject

Computer Vision and Pattern Recognition

Reference33 articles.

1. McKay EN. UI is communication: how to design intuitive, user centered interfaces by focusing on effective communication. Newnes, 2013, https://books.google.co.kr/books/about/UI_is_Communication.html?id=wNozxtKuOKcC&redir_esc=y.

2. Game Analytics

3. The keystroke-level model for user performance time with interactive systems

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