Showing 1 - 3 of 3 Research Library Publications

Eye-Tracking Scanpath Trend Analysis for Autism Detection

Posted: | Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva, Simon Harper

ACM SIGACCESS Accessibility and Computing

 

In this article, we first summarise STA (Scanpath Trend Analysis) with its application in autism detection, and then discuss future directions for this research.

Category:Assessment-Oriented Research, Applications of Technology

Examining the Precision of Cut Scores Within a Generalizability Theory Framework: A Closer Look at the Item Effect

Posted: | B. E. Clauser, M. Kane, J. C. Clauser

Journal of Educational Measurement: Volume 57, Issue 2, Pages 216-229

 

This article presents two generalizability-theory–based analyses of the proportion of the item variance that contributes to error in the cut score. For one approach, variance components are estimated on the probability (or proportion-correct) scale of the Angoff judgments, and for the other, the judgments are transferred to the theta scale of an item response theory model before estimating the variance components.

Category:Assessment-Oriented Research, Reliability/Validity

Detecting High-Functioning Autism In Adults Using Eye Tracking And Machine Learning

Posted: | V. Yaneva, L. A. Ha, S. Eraslan, Y. Yesilada, R. Mitkov

IEEE Transactions on Neural Systems and Rehabilitation Engineering

 

The purpose of this study is to test whether visual processing differences between adults with and without high-functioning autism captured through eye tracking can be used to detect autism.

Category:Assessment-Oriented Research, Applications of Technology