The depth/breadth trade-off in the design of menu-driven user interfaces
International Journal of Man-Machine Studies
Web page design: implications of memory, structure and scent for information retrieval
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
How to solve it: modern heuristics
How to solve it: modern heuristics
Modern Information Retrieval
A comparison of static, adaptive, and adaptable menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Model-based evaluation of cell phone menu interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A predictive model of menu performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive evolution of XUL user interfaces
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Genetic algorithm can optimize hierarchical menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ERCIM'02 Proceedings of the User interfaces for all 7th international conference on Universal access: theoretical perspectives, practice, and experience
Performance evaluation of a genetic algorithm for optimizing hierarchical menus
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Application of a seeded hybrid genetic algorithm for user interface design
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, but there has been little work on improving performance by optimizing the menu's structure. This paper proposes algorithms based on the genetic algorithm (GA) and the simulated annealing (SA) for optimizing the performance of menus. The algorithms aim to minimize the average selection time of menu items by considering the user's pointer movement and search/decision time. We will show the experimental results on a static hierarchical menu of a cellular phone as an example where a small screen and limited input device are assumed. We will also show performance comparison of the GA-based algorithm and the SA-based one by using wide varieties of usage patterns.