Assessing visual attention in children using GP3 Eye Tracker
until further notice
Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE)
In2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 343-348
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) (Naples, Italy, 23-25 Oct. 2019)
Article in monograph or in proceedings
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SW OZ DCC AI
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)
SubjectCognitive artificial intelligence
The aim of this research is to propose an integrated platform for assessing visual attention in school- aged children. Due to several challenges in the use of standard psychological tests, technology-based instruments can represent a future opportunity for increasing accuracy in the psychological evaluations. The use of GP3 Eye Tracker together with OGAMA application can help to identify children that are at risk of developing learning or attention problems. By developing an integrated platform we will be able to accurately assess their visual attention skills, interpret accurately the data and predict their reading abilities.
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