Designing and evaluating intelligent user interfaces
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Model-view-controller and object teams: a perfect match of paradigms
Proceedings of the 2nd international conference on Aspect-oriented software development
The Belief-Desire-Intention Model of Agency
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-Computer Interaction (3rd Edition)
Human-Computer Interaction (3rd Edition)
Delivering adaptivity through context-awareness
Journal of Network and Computer Applications
Social Computing: From Social Informatics to Social Intelligence
IEEE Intelligent Systems
Easishop: Ambient intelligence assists everyday shopping
Information Sciences: an International Journal
Embedded agents: a paradigm for mobile services
International Journal of Web and Grid Services
Multimodal interactive maps: designing for human performance
Human-Computer Interaction
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Ambient Intelligence 2.0: Towards Synergetic Prosperity
AmI '09 Proceedings of the European Conference on Ambient Intelligence
Multimodal interfaces: Challenges and perspectives
Journal of Ambient Intelligence and Smart Environments
The Design of Everyday Things
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Enabling intuitive interaction in system design remains an art more than a science. This difficulty is exacerbated when the diversity of device and end user group is considered. In this paper, it is argued that conventional interaction modalities are unsuitable in many circumstances and that alternative modalities need be considered. Specifically the case of implicit interaction is considered, and the paper discusses how its use may lead to more satisfactory experiences. Specifically, harnessing implicit interaction in conjunction with the traditional explicit interaction modality, can enable a more intuitive and natural interactive experience. However, the exercise of capturing and interpreting implicit interaction is problematic and is one that lends itself to the adoption of AI techniques. In this position paper, the potential of lightweight intelligent agents is proposed as a model for harmonising the explicit and implicit components of an arbitrary interaction.