Name
Title | ||
|---|---|---|
Learning Frequent Behaviors Patterns in Intelligent Environments for Attentiveness Level. |
Abstract | ||
|---|---|---|
Nowadays, when it comes to achieving goals in business environments or educational environments, the performance successfully has an important role in performing a task. However, this performance can be affected by several factors. One of the most common is the lack of attention. The individual’s attention in performing a task can be determinant for the final quality or even at the task’s conclusion. In this paper is intended to design a solution that can reduce or even eliminate the lack of attention on performing a task. The idea consist on develop an architecture that capture the user behavior through the mouse and keyboard usage. Furthermore, the system will analyze how the devices are used. |
Year | Venue | Field |
|---|---|---|
2017 | PAAMS (Special Sessions) | Architecture,Computer science,Decision support system,Achieving goals,Human–computer interaction,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalila Durães | 1 | 5 | 6.84 |
| Catarina Cardoso | 2 | 0 | 0.34 |
| Javier Bajo | 3 | 1451 | 118.96 |
| Paulo Novais | 4 | 883 | 171.45 |