Mobile Usability: How Nokia Changed the Face of the Cellular Phone
Mobile Usability: How Nokia Changed the Face of the Cellular Phone
Predicting UNIX Command Lines: Adjusting to User Patterns
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Model-based evaluation of cell phone menu interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inducing shortcuts on a mobile phone interface
Proceedings of the 11th international conference on Intelligent user interfaces
Unsupervised clustering of context data and learning user requirements for a mobile device
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
The personal adaptive in-car HMI: integration of external applications for personalized use
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Understanding and prediction of mobile application usage for smart phones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Human interaction discovery in smartphone proximity networks
Personal and Ubiquitous Computing
A study on icon arrangement by smartphone users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Practical prediction and prefetch for faster access to applications on mobile phones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
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Mobile phones are often regarded as difficult to use due to their size restrictions. To improve on this, in this paper we described our approach using unsupervised learning to automate common tasks on a mobile phone, thereby requiring less key presses, by means of context-dependent quick-access shortcuts presented in the homescreen of the phone. We also briefly reviewed some of our user study findings, and raised the issue of possible privacy concerns with our implementation.