User learning and performance with marking menus
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Eye tracking the visual search of click-down menus
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
SwingStates: adding state machines to the swing toolkit
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
A predictive model of menu performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ExperiScope: an analysis tool for interaction data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Touchstone: exploratory design of experiments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Genetic algorithm can optimize hierarchical menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Techniques de menus: description, développement, evaluation
IHM '07 Proceedings of the 19th International Conference of the Association Francophone d'Interaction Homme-Machine
Prefab: implementing advanced behaviors using pixel-based reverse engineering of interface structure
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GUI testing using computer vision
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Patina: dynamic heatmaps for visualizing application usage
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Promoting Hotkey use through rehearsal with ExposeHK
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Augmented letters: mnemonic gesture-based shortcuts
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
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Les menus sont utilisés dans la plupart de nos applications pour présenter, organiser et sélectionner des commandes. Un grand nombre de techniques d'interaction a été proposé et de nombreuses évaluations expérimentales ont été conduites. Pourtant, peu d'études ont visé à analyser les menus existants. Dans cet article, nous proposons et mettons à disposition MenuInspector, un outil pour analyser les menus des applications existantes sous MacOSX. MenuInspector permet de récupérer de nombreuses informations comme la hiérarchie de commandes, les libellés des commandes, les raccourcis clavier, les tooltips, etc. Nous illustrons les avantages de MenuInspector à travers quatre cas d'étude : étude du recouvrement, des collisions, de la consistance entre applications ainsi que la mise en évidence d'éléments cachés.