Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1376971.1376973 | Journées Francophones Mobilité et Ubiquité |
Keywords | Field | DocType |
bayesian user model,context of use,partner tool,user modeling,key context,windows mobile operating system,partner role,use identification,learning,adaptation,mobile adaptation,bayesian network,smartphone,relevant adaptation,dedicated ui,mobility,plasticity,context-aware adaptation,clustering,operating system,context dependent,user model | Computer science,Bayesian network,Human–computer interaction,User modeling,Mobile operating system,Cluster analysis,User interface,Bayesian probability | Conference |
Citations | PageRank | References |
1 | 0.63 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincent Ganneau | 1 | 59 | 4.26 |
| Gaëlle Calvary | 2 | 1070 | 78.25 |
| Rachel Demumieux | 3 | 74 | 8.82 |