Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Understanding and Using Context
Personal and Ubiquitous Computing
IEEE Intelligent Systems
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
CoBuild '99 Proceedings of the Second International Workshop on Cooperative Buildings, Integrating Information, Organization, and Architecture
EasyLiving: Technologies for Intelligent Environments
HUC '00 Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing
MavHome: An Agent-Based Smart Home
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Humans and Automation: System Design and Research Issues
Humans and Automation: System Design and Research Issues
International Journal of Human-Computer Studies - Special issue: Trust and technology
Reasoning about Uncertain Contexts in Pervasive Computing Environments
IEEE Pervasive Computing
Designing mediation for context-aware applications
ACM Transactions on Computer-Human Interaction (TOCHI)
Supporting Context-Aware Media Recommendations for Smart Phones
IEEE Pervasive Computing
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Ambient Intelligence: A Multimedia Perspective
IEEE MultiMedia
Interaction issues in context-aware intelligent environments
Human-Computer Interaction
Support for context-aware intelligibility and control
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A framework for human-centered provisioning of ambient media services
Multimedia Tools and Applications
New research perspectives on Ambient Intelligence
Journal of Ambient Intelligence and Smart Environments
HEI!: the human environment interaction
Proceedings of the 2007 conference on Human interface: Part I
Using quality of context to resolve conflicts in context-aware systems
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Modeling and assessing quality of information in multisensor multimedia monitoring systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Uncertainty Management in Context-Aware Applications: Increasing Usability and User Trust
Wireless Personal Communications: An International Journal
Investigating intelligibility for uncertain context-aware applications
Proceedings of the 13th international conference on Ubiquitous computing
A framework for adaptive interaction support based on quality of context information
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
A model for types and levels of human interaction with automation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Ambient-aware environments are technologically augmented with myriad sensors, devices and other emerging services in order to support users. However, users find it complex in interacting with such environments due to the presence of numerous devices and services. In this situation, providing context-aware implicit or automatic interaction support may help reducing the cognitive load of the users and facilitate easy access of the available devices and services. However, due to the imprecision in context information, implicit interactions performed by the environment often leads to mis-automation. The result of such impaired implicitness causes distrust and dissatisfaction to the user. In order to address this issue, we propose a system that considers quality of information to dynamically adjust the level of implicit interaction and allows a system to operate in different modes such as full-automation, action suggestion, simple notification, or null action. We conduct experiment in a smart home scenario in order to elicit users' acceptance and trust regarding the proposed system. Our experiment shows that dynamic and alternative mode of interaction not only increases the satisfaction of users but also helps to avoid distrust in automated actions carried out by the environment under varying contexts.