Agents that reduce work and information overload
Communications of the ACM
Adding a collaborative agent to graphical user interfaces
Proceedings of the 9th annual ACM symposium on User interface software and technology
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Communications of the ACM
A User-Guided Cognitive Agent for Network Service Selection in Pervasive Computing Environments
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Finding meaningful uses for context-aware technologies: the humanistic research strategy
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Metadata creation system for mobile images
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Human-Computer Interaction
Comparing two approaches to context: realism and constructivism
Proceedings of the 4th decennial conference on Critical computing: between sense and sensibility
User Modeling and User-Adapted Interaction
An Architecture for e-Learning System with Computational Intelligence
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Context modeling and measuring for proactive resource recommendation in business collaboration
Computers and Industrial Engineering
ICSR'10 Proceedings of the Second international conference on Social robotics
Towards a framework to characterize ubiquitous software projects
Information and Software Technology
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Proactivity has recently arisen as one of the focus areas within HCI. Proactive systems adhere to two premises: 1) working on behalf of, or pro, the user, and 2) acting on their own initiative. To extend researchers' views on how proactive systems can support the user, we clarify the concept of proactivity and suggest a typology that distinguishes between 6 modes of proactive resource management: preparation, optimization, advising, manipulation, inhibition, and finalization of user's resources. A scenario of mobile imaging is presented to illustrate how the typology can support the innovation of new use purposes. We argue that conceptual developments like the one proposed here are crucial for the advancement of the emerging field.