Decision theory in expert systems and artificial intelligence
International Journal of Approximate Reasoning
How users repeat their actions on computers: principles for design of history mechanisms
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Triggers and barriers to customizing software
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Adaptively supported adaptability
International Journal of Human-Computer Studies
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
An evaluation of a multiple interface design solution for bloated software
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
SUPPLE: automatically generating user interfaces
Proceedings of the 9th international conference on Intelligent user interfaces
What role can adaptive support play in an adaptable system?
Proceedings of the 9th international conference on Intelligent user interfaces
Supporting interface customization using a mixed-initiative approach
Proceedings of the 12th international conference on Intelligent user interfaces
Interacting with Inspectable Bayesian Student Models
International Journal of Artificial Intelligence in Education
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Are explanations always important?: a study of deployed, low-cost intelligent interactive systems
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Triggering triggers and burying barriers to customizing software
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Virtual butler: what can we learn from adaptive user interfaces?
Your Virtual Butler
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In this paper, we investigate the utility of providing users with the system's rationale in a mixed-initiative system for GUI customization. An evaluation comparing a version of the system with and without the rationale suggested that rationale is wanted by many users, leading to increased trust, understandability and predictability, but that not all users want or need the information.