Name
Abstract | ||
|---|---|---|
Many context-aware projects try to develop the next step in human computer interaction, systems that adapt to a users need and help him to focus on his specific task. Probabilistic models are used to infer the current activity of a user. These techniques for predicting the actions of a user are often custom-tailored to a fixed location and scenario. We developed a method to generate probabilistic models for different context, therefore broaden their use in different domains of ubiquitous computing. This makes our intention analysis more generic. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1329469.1329475 | MUM |
Keywords | Field | DocType |
different context,probabilistic model,inferring intention,specific task,intention analysis,context-aware project,human computer interaction,current activity,generic context-aware system,next step,different domain,fixed location,ubiquitous computing | Computer science,Human–computer interaction,Ubiquitous computing,Probabilistic logic | Conference |
Citations | PageRank | References |
3 | 0.39 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christoph Burghardt | 1 | 29 | 3.35 |
| Thomas Kirste | 2 | 93 | 18.37 |