Usability Engineering
Modelling and Using Imperfect Context Information
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
It's a jungle out there: practical considerations for evaluation in the city
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Gather customer's real usage on mobile phones
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Improving the mobile phone habitat: learning changes in user's profiles
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
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This paper addresses software plasticity, i.e. the ability of interactive systems to adapt to context of use while preserving user-centered properties. In plasticity, a classical approach consists in concentrating design efforts on a set of pre-defined contexts of use that deserve high quality User Interfaces (UIs), and switching from one to another according to variations of context of use at runtime. However, key contexts of use cannot be finely envisioned at design time, especially when dealing with the specific field of mobility. Thus, we propose a designer's partner tool running on the end-user's mobile device to probe key contexts of use in the wild. The underlying principles are data gathering, bayesian learning, and clustering techniques. Probing key contexts of use can save design efforts.