Information visualization: perception for design
Information visualization: perception for design
The coming age of calm technolgy
Beyond calculation
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
Proceedings of the 6th ACM conference on Embedded network sensor 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
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Proceedings of the 7th international conference on Mobile systems, applications, and services
Assessing demand for intelligibility in context-aware applications
Proceedings of the 11th international conference on Ubiquitous computing
Toolkit to support intelligibility in context-aware applications
Proceedings of the 12th ACM international conference on Ubiquitous computing
IE '10 Proceedings of the 2010 Sixth International Conference on Intelligent Environments
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Investigating intelligibility for uncertain context-aware applications
Proceedings of the 13th international conference on Ubiquitous computing
Weights of evidence for intelligible smart environments
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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Context-aware applications are increasingly complex and autonomous, and research has indicated that explanations can help users better understand and ultimately trust their autonomous behavior. However, it is still unclear how to effectively present and provide these explanations. This work builds on previous work to make context-aware applications intelligible by supporting a suite of explanations using eight question types (e.g., Why, Why Not, What If). We present a formative study on design and usability issues for making an intelligible real-world, mobile context-aware application, focusing on the use of intelligibility for the mobile contexts of availability, place, motion, and sound activity. We discuss design strategies that we considered, findings of explanation use, and design recommendations to make intelligibility more usable.