Split menus: effectively using selection frequency to organize menus
ACM Transactions on Computer-Human Interaction (TOCHI)
Productivity gains via an adaptive user interface: an empirical analysis
International Journal of Human-Computer Studies
Direct manipulation for comprehensible, predictable and controllable user interfaces
Proceedings of the 2nd international conference on Intelligent user interfaces
Designing and evaluating intelligent user interfaces
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
An Analysis of Initiative Selection in CollaborativeTask-Oriented Discourse
User Modeling and User-Adapted Interaction
Adaptive interfaces and agents
The human-computer interaction handbook
User Attitudes Regarding a User-Adaptive eCommerce Web Site
User Modeling and User-Adapted Interaction
What role can adaptive support play in an adaptable system?
Proceedings of the 9th international conference on Intelligent user interfaces
User - interface agent interaction: personalization issues
International Journal of Human-Computer Studies
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
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
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
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
Editorial: Measuring the impact of personalization and recommendation on user behaviour
International Journal of Human-Computer Studies
Design and evaluation of a multimodal interface for in-car communication systems
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
Showing user interface adaptivity by animated transitions
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
Adaptation in virtual environments: conceptual framework and user models
Multimedia Tools and Applications
Context-sensitive user interfaces for semantic services
ACM Transactions on Internet Technology (TOIT)
The impact of an adaptive user interface on reducing driver distraction
Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Proceedings of the 24th Australian Computer-Human Interaction Conference
A usability study of adaptive interfaces for interactive voice response system
Proceedings of the 3rd ACM Symposium on Computing for Development
Exploring adverse effects of adaptive voice menu
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Towards a user experience design framework for adaptive spoken dialogue in automotive contexts
Proceedings of the 19th international conference on Intelligent User Interfaces
On user behaviour adaptation under interface change
Proceedings of the 19th international conference on Intelligent User Interfaces
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The paper examines the positive and the possible adverse effects of adaptive user interfaces (AUIs) in the context of an in-vehicle telematic system as a function of four factors: (1) four different levels of adaptivity (ranging from manual to fully adaptive with intermediate levels); (2) different tasks; (3) routine (familiar) and non-routine (unfamiliar) situations; and (4) different user age groups. Both experiments included three sessions during which participants drove a simple driving simulator and performed tasks with the telematic system at one of the adaptivity levels. We measured task performance times and lane position variance. Adaptivity was not always equally beneficial, and its benefits depended on a number of factors, including the frequency in which the tasks were performed, the user's age, the difficulty of the task and the user's involvement in the task. In familiar, routine situations, a fully adaptive system was beneficial for all participants, particularly older ones. In unfamiliar situations, to which the AUI was not adjusted, cognitive workload increased substantially, adversely affecting performance. Intermediate levels of adaptivity keep users involved in the task and help them become more proficient when performing both routine and non-routine tasks. However, intermediate levels of adaptivity should also be implemented with care, because they may also have adverse effects when users encounter non-routine situations.