User Modeling and User-Adapted Interaction
How it works: a field study of non-technical users interacting with an intelligent system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-Computer Interaction
Intelligibility and accountability: human considerations in context-aware systems
Human-Computer Interaction
Fixing the program my computer learned: barriers for end users, challenges for the machine
Proceedings of the 14th international conference on Intelligent user interfaces
Support for context-aware intelligibility and control
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding causes of program output with the Java Whyline
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Assessing demand for intelligibility in context-aware applications
Proceedings of the 11th international conference on Ubiquitous computing
PersonisAD: distributed, active, scrutable model framework for context-aware services
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Toolkit to support intelligibility in context-aware applications
Proceedings of the 12th ACM international conference on Ubiquitous computing
Development of mobile AR tour application for the national palace museum of Korea
Proceedings of the 2011 international conference on Virtual and mixed reality: new trends - Volume Part I
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Since context-aware applications use implicit sensing and increasingly complex decision making, they may make mistakes or users may misunderstand their actions. This may hinder trust and adoption of context-aware applications. We hypothesize that making these applications intelligible by explaining themselves to users would help counter this lack of trust. The proposed thesis would contribute to context-aware computing by (i) understanding the need to explain these applications to users, (ii) understanding the benefits and trade-offs of providing intelligibility, and (iii) providing toolkit support intelligibility to ultimately improve the trust, adoption of, and sustained use context-aware systems.