Eager: programming repetitive tasks by demonstration
Watch what I do
Experience with a learning personal assistant
Communications of the ACM
APE: learning user's habits to automate repetitive tasks
Proceedings of the 5th international conference on Intelligent user interfaces
Universal access to mobile telephony as a way to enhance the autonomy of elderly people
WUAUC'01 Proceedings of the 2001 EC/NSF workshop on Universal accessibility of ubiquitous computing: providing for the elderly
User Modeling in Human–Computer Interaction
User Modeling and User-Adapted Interaction
Providing architectural support for building context-aware applications
Providing architectural support for building context-aware applications
SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
a CAPpella: programming by demonstration of context-aware applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Collecter les usages réels des clients de téléphonie mobile (un outil embarqué)
IHM 2005 Proceedings of the 17th international conference on Francophone sur l'Interaction Homme-Machine
Personal customisation of mobile phones: a case study
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Meta-user interfaces for ambient spaces
TAMODIA'06 Proceedings of the 5th international conference on Task models and diagrams for users interface design
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
Démonstration: EMMA pour la plasticité en mobilité
Proceedings of the 20th International Conference of the Association Francophone d'Interaction Homme-Machine
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Adapting User Interfaces (UI) while in mobility remains challenging as contexts of use identification and changes can obviously not be finely envisioned at design time. However, user's tasks, habits and preferences may be context dependent. As a result, there is a need for managing context-aware adaptation at runtime. This paper describes EMMA (Embedded Manager for Mobile Adaptation), a running system that gathers data in mobility, learns key contexts of use, and provides the end-user with relevant adaptation. The process is based on a bayesian user model embedded on a Smartphone running under Windows Mobile operating system. It is placed under the end-user's control through a dedicated UI, called meta-UI. Besides this end-user's partner role, EMMA can serve as a designer's partner tool for identifying the key contexts of use in the wild.