Name
Abstract | ||
|---|---|---|
This paper presents a system, called E-supervisor that detects a student's state of attention and provides appropriate feedback. The system uses an eye detection based method and provides multi-mode feedback such as screen alerting, chair vibration, scent emitting and music playing to make participants aware whenever they are not paying attention. An evaluation shows that supervision by the E-Supervisor can improve learning and attention. Furthermore perceived usefulness is judged high by the evaluation participants, with the vibrant feedback being the preferred feedback modality. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICALT.2012.241 | ICALT |
Keywords | Field | DocType |
eye detection,preferred feedback modality,chair vibration,vibrant feedback,scent emitting,distant education,multi-mode feedback,appropriate feedback,evaluation participant,vibrations,context modeling,face recognition,distance learning | Supervisor,Object detection,Facial recognition system,Computer science,Distance education,Context model,Eye detection,Multimedia,Modal | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Chen | 1 | 0 | 0.34 |
| Song Yang | 2 | 2 | 2.78 |
| Xiaoying Zhou | 3 | 0 | 0.68 |
| Rui-min Shen | 4 | 941 | 85.45 |