CPS: A Tool for Classification and Prediction of Autism with STA Using Eye-tracking Data

Sutoglu E., Sunar S., Sevinc G., Dilbaz P., ERASLAN Ş., Yesilada Y.

15th Turkish National Software Engineering Symposium (UYMS), ELECTR NETWORK, 17 - 19 Kasım 2021, ss.45-50, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/uyms54260.2021.9659649
  • Basıldığı Ülke: ELECTR NETWORK
  • Sayfa Sayıları: ss.45-50
  • Orta Doğu Teknik Üniversitesi Kuzey Kıbrıs Kampüsü Adresli: Evet

Özet

Eye-tracking data is shown to have potential in autism detection. Previous studies show that there are significant differences in the eye-tracking data of autistic and neurotypical users, in particular when the users engage with web pages. STA (Scanpath Trend Analysis) was previously proposed to be used as a way to analyze eye movement sequences (i.e. scanpaths) of autistic and neurotypical users to identify whether an unknown user can be identified as autistic or not. In this paper, we present a novel web-based application called CPS that aims to guide that process. Performance tests show that the application has a reasonable response time and the preliminary usability test shows that the CPS's usability is satisfactory.