Dynamic versus static menus: an exploratory comparison
ACM SIGCHI Bulletin
Split menus: effectively using selection frequency to organize menus
ACM Transactions on Computer-Human Interaction (TOCHI)
A comparison of static, adaptive, and adaptable menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An empirical assessment of adaptation techniques
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Exploring the design space for adaptive graphical user interfaces
Proceedings of the working conference on Advanced visual interfaces
A predictive model of menu performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bubbling menus: a selective mechanism for accessing hierarchical drop-down menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictability and accuracy in adaptive user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fast and robust interface generation for ubiquitous applications
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Beyond performance: Feature awareness in personalized interfaces
International Journal of Human-Computer Studies
Why it's quick to be square: modelling new and existing hierarchical menu designs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing adaptive feedback for improving data entry accuracy
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
The effect of size of personalised menus on user satisfaction
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Ability-Based Design: Concept, Principles and Examples
ACM Transactions on Accessible Computing (TACCESS)
Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
The aligned rank transform for nonparametric factorial analyses using only anova procedures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Content and hierarchy in pixel-based methods for reverse engineering interface structure
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Kineticons: using iconographic motion in graphical user interface design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving command selection with CommandMaps
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
AccessRank: predicting what users will do next
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Triggering triggers and burying barriers to customizing software
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Exploiting spatial memory to design efficient command interfaces
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Improving navigation-based file retrieval
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pixel-based reverse engineering of graphical interfaces
Proceedings of the adjunct publication of the 26th annual ACM symposium on User interface software and technology
An evaluation of advanced user interface customization
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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We introduce ephemeral adaptation, a new adaptive GUI technique that improves performance by reducing visual search time while maintaining spatial consistency. Ephemeral adaptive interfaces employ gradual onset to draw the user's attention to predicted items: adaptively predicted items appear abruptly when the menu is opened, but non-predicted items fade in gradually. To demonstrate the benefit of ephemeral adaptation we conducted two experiments with a total of 48 users to show: (1) that ephemeral adaptive menus are faster than static menus when accuracy is high, and are not significantly slower when it is low and (2) that ephemeral adaptive menus are also faster than adaptive highlighting. While we focused on user-adaptive GUIs, ephemeral adaptation should be applicable to a broad range of visually complex tasks.