Name
Abstract | ||
|---|---|---|
We propose a general affective behavior model integrated to an intelligent tutoring system with the aim of providing the students with a suitable response from a pedagogical and affective point of view. The affective behavior model integrates the information from the student cognitive state, student affective state, and the tutorial situation, to decide the best pedagogical action. The affective model is implemented as a decision network with a utility measure on learning. For the construction of the affective behavior model, we are using personality questionnaires and emotions models. An initial evaluation of the model is presented, based on questionnaires applied to experienced teachers. We present the initial results of this evaluation. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11579427_119 | MICAI |
Keywords | Field | DocType |
affective point,affective behavior model,probabilistic model,emotions model,initial result,general affective behavior model,pedagogical action,initial evaluation,intelligent tutoring system,student affective state,affective model,student cognitive state,behavior modeling | Intelligent tutoring system,Affective behavior,Computer science,Bayesian network,Artificial intelligence,Statistical model,Affect (psychology),Cognition,Personality | Conference |
Volume | ISSN | ISBN |
3789 | 0302-9743 | 3-540-29896-7 |
Citations | PageRank | References |
7 | 0.88 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasmín Hernández | 1 | 25 | 6.13 |
| Julieta Noguez | 2 | 61 | 12.05 |
| L. Enrique Sucar | 3 | 1016 | 118.72 |
| Gustavo Arroyo-Figueroa | 4 | 170 | 22.16 |