The depth/breadth trade-off in the design of menu-driven user interfaces
International Journal of Man-Machine Studies
Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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
ERCIM'02 Proceedings of the User interfaces for all 7th international conference on Universal access: theoretical perspectives, practice, and experience
Optimizing hierarchical menus by genetic algorithm and simulated annealing
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Performance evaluation of a genetic algorithm for optimizing hierarchical menus
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Design and Evaluation of Soft Keyboards for Brahmic Scripts
ACM Transactions on Asian Language Information Processing (TALIP)
A study on icon arrangement by smartphone users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MenuOptimizer: interactive optimization of menu systems
Proceedings of the 26th annual ACM symposium on User interface software and technology
MenuInspector: Outil pour l'analyse des menus et cas d'étude
Proceedings of the 25ième conférence francophone on l'Interaction Homme-Machine
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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 the performance by optimizing the menu's structure. This paper proposes an algorithm based on the genetic algorithm (GA) for optimizing the performance of menus. The algorithm aims to minimize the average selection time of menu items by considering movement and decision time. We show results on a static hierarchical menu of a cellular phone where a small screen and limited input device are assumed. Our work makes several contributions: a novel mathematical optimization model for hierarchical menus; novel optimization method based on the genetic algorithm (GA).