Abstract
We present an adaptive interface designed to provide tailored support for the understanding of written instructional material. The interface relies on a user model based on a Bayesian network, that assesses users' understanding as users read the instructional material and try to understand it by generating explanations to themselves. The user model's assessment is used by the interface to generate tailored scaffolding of further user's explanations that can improve the user's comprehension. After illustrating how the Bayesian user model assesses understanding from the user's explanations and from latency data on the user's attention, we discuss initial results on the effectiveness of the interface's adaptive interventions.
| Original language | English (US) |
|---|---|
| Title of host publication | International Conference on Intelligent User Interfaces, Proceedings IUI |
| Pages | 41-47 |
| Number of pages | 7 |
| State | Published - 2001 |
| Externally published | Yes |
| Event | 2001 International Conference on Intelligent User Interfaces (IUI 2001) - Santa Fe, NM, United States Duration: Jan 14 2001 → Jan 17 2001 |
Other
| Other | 2001 International Conference on Intelligent User Interfaces (IUI 2001) |
|---|---|
| Country/Territory | United States |
| City | Santa Fe, NM |
| Period | 1/14/01 → 1/17/01 |
Keywords
- Adaptive tutoring
- Bayesian networks
- Modeling attention
- User modeling
ASJC Scopus subject areas
- General Computer Science