NDLI: Performance evaluation of a genetic algorithm for optimizing hierarchical menus

Content Provider	IEEE Xplore Digital Library
Author	Matsui, S. Yamada, S.
Copyright Year	2009
Description	Author affiliation: System Engineering Research Laboratory (SERL), Central Research Institute of Electric Power Industry (CRIEPI), 2-11-1 Iwado-kita, Komae, Tokyo 201-8511, Japan (Matsui, S.) \|\| National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda, Tokyo 101-8430, Japan (Yamada, S.)
Abstract	Hierarchical menus are now widely used as standard user interfaces in modern applications with GUIs. The menu performance depends on many factors, such as the structure, layout, and colors. There has been extensive research on novel hierarchical menus, but there has been little work on improving performance by optimizing the menu's structure. We have proposed an algorithm based on a genetic algorithm (GA) for optimizing the performance of menus. The algorithm aims to minimize the average selection time of menu items by taking into account movement and decision-making time. We have shown that the proposed algorithm can reduce average selection time nearly 40% for a menu of a cellar phone. But usage pattern were limited and the accuracy of the model was not confirmed. We will first show the validation result of the model by experiments conducted on PDA. Then we will present results of the performance evaluation of the algorithm by using a wide variety of usage patterns generated by Zipf function. The results show that the model has good accuracy for real users, and the algorithm can attain good results for a wide variety of usage patterns.
Starting Page	947
Ending Page	954
File Size	403322
Page Count	8
File Format	PDF
ISBN	9781424429585
DOI	10.1109/CEC.2009.4983047
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-18
Publisher Place	Norway
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Postal services User interfaces Time measurement Decision making Frequency Performance analysis Cellular phones
Content Type	Text
Resource Type	Article

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