Assessing visual attention in children using GP3 Eye Tracker
Publication year
2019Author(s)
Publisher
Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE)
In
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 343-348Annotation
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) (Naples, Italy, 23-25 Oct. 2019)
Publication type
Article in monograph or in proceedings
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Organization
SW OZ DCC AI
Languages used
English (eng)
Book title
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)
Page start
p. 343
Page end
p. 348
Subject
Cognitive artificial intelligenceAbstract
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.
This item appears in the following Collection(s)
- Academic publications [244228]
- Electronic publications [131195]
- Faculty of Social Sciences [30034]
- Open Access publications [105201]
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