Towards the design of technology for measuring and capturing children's attention on e-learning tasks

Being able to be attentive as necessary on an e-learning task is not always easy for a young student, especially for children affected by Attention Deficit Hyperactivity Disorder. To support this category of students, we aim to design a software module able to: (a) automatically detect their level of attention when working on a learning task and, (b) propose suitable stimuli to re-capture their attention on it. This paper describes the first two steps towards this application: (1) the building of an attention model, meant as the base of the software module for automatically measuring the attention level, and (2) the study of a face tracker to measure the attention level in real time. Finally, it proposes some possible stimuli which can be used to re-capture the lost attention.