Experience with a learning personal assistant
Communications of the ACM
Design principles for intelligent environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Charting past, present, and future research in ubiquitous computing
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
The effects of task interruption and information presentation on individual decision making
ICIS '97 Proceedings of the eighteenth international conference on Information systems
Using Context as a Crystal Ball: Rewards and Pitfalls
Personal and Ubiquitous Computing
Designing a Home of the Future
IEEE Pervasive Computing
Adapting Applications in Mobile Terminals Using Fuzzy Context Information
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
Incremental Fuzzy Decision Trees
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
Smart-Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Interruptions as Multimodal Outputs: Which are the Less Disruptive?
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Six modes of proactive resource management: a user-centric typology for proactive behaviors
Proceedings of the third Nordic conference on Human-computer interaction
The scope and importance of human interruption in human-computer interaction design
Human-Computer Interaction
Rapid Prototyping and User-Centered Design of Interactive Display-Based Systems
IEEE Pervasive Computing
Consistent Modelling of Users, Devices and Sensors in a Ubiquitous Computing Environment
User Modeling and User-Adapted Interaction
Sharing control of dispersed situated displays between nand residential users
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Designing mobile awareness cues
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
The effects of transparency on trust in and acceptance of a content-based art recommender
User Modeling and User-Adapted Interaction
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User-centered evaluation of adaptive and adaptable systems: A literature review
The Knowledge Engineering Review
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
Improving trust in context-aware applications with intelligibility
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Improving intelligibility and control in Ubicomp
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
Designing socially acceptable multimodal interaction in cooking assistants
Proceedings of the 16th international conference on Intelligent user interfaces
Computing with instinct
Designing trustworthy adaptation on public displays
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Investigating intelligibility for uncertain context-aware applications
Proceedings of the 13th international conference on Ubiquitous computing
Design of an intelligible mobile context-aware application
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Scrutable adaptation: because we can and must
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Specification and verification of complex location events with panoramic
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Are explanations always important?: a study of deployed, low-cost intelligent interactive systems
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Checkpoints, hotspots and standalones: placing smart services over time and place
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
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It is important that systems that exhibit proactive behaviour do so in a way that does not surprise or frustrate the user. Consequently, it is desirable for such systems to be both personalised and designed in such a way as to enable the user to scrutinise her user model (part of which should hold the rules describing the behaviour of the system). This article describes on-going work to investigate the design of a prototype system that can learn a given user's behaviour in an office environment in order to use the inferred rules to populate a user model and support appropriate proactive behaviour (e.g. turning on the user's fan under appropriate conditions). We explore the tension between user control and proactive services and consider issues related to the design of appropriate transparency with a view to supporting user comprehensibility of system behaviour. To this end, our system enables the user to scrutinise and possibly over-ride the `IF-THEN' rules held in her user model. The system infers these rules from the context history (effectively a data set generated using a variety of sensors) associated with the user by using a fuzzy-decision-tree-based algorithm that can provide a confidence level for each rule in the user model. The evolution of the system has been guided by feedback from a number of real-life users in a university department. A questionnaire study has yielded supplementary results concerning the extent to which the approach taken meets users' expectations and requirements.