Detecting High-Functioning Autism in Adults Using Eye Tracking and Machine Learning

Download

index.pdf

Date

2020-06-01

Author

Yaneva, Victoria
Le An Ha, Le An Ha
Eraslan, Sukru
Yesilada, Yeliz
Mitkov, Ruslan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

195
views

0
downloads

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. We record the eye movements of adult participants with and without autism while they look for information within web pages. We then use the recorded eye-tracking data to train machine learning classifiers to detect the condition. The data was collected as part of two separate studies involving a total of 71 unique participants (31 with autism and 40 control), which enabled the evaluation of the approach on two separate groups of participants, using different stimuli and tasks. We explore the effects of a number of gaze-based and other variables, showing that autism can be detected automatically with around 74% accuracy. These results confirm that eye-tracking data can be used for the automatic detection of high-functioning autism in adults and that visual processing differences between the two groups exist when processing web pages.

Subject Keywords

General Neuroscience, Biomedical Engineering, Computer Science Applications

URI

https://hdl.handle.net/11511/68158

Journal

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

DOI

https://doi.org/10.1109/tnsre.2020.2991675

Collections

Engineering, Article

Suggestions

OpenMETU
Core

The effect of augmented reality activities on improving preschool children’s spatial skills Gecü Parmaksız, Zeynep; Delialioğlu, Ömer (Informa UK Limited, 2019-11-01) This study compares the effect of Augmented Reality (AR) based virtual manipulatives to physical manipulatives for teaching geometric shapes to preschool children to improve their spatial skills. A quasi-experimental research design was utilized in order to answer the research questions. The context of the research was a public primary school in Turkey with 72 preschool children, ages ranging from five to six. As the treatment, while the experimental group used tablet computers with AR applications, the con...
A systematic review of eye tracking research on multimedia learning ALEMDAĞ, ECENAZ; Çağıltay, Kürşat (Elsevier BV, 2018-10-01) This study provides a current systematic review of eye tracking research in the domain of multimedia learning. The particular aim of the review is to explore how cognitive processes in multimedia learning are studied with relevant variables through eye tracking technology. To this end, 52 articles, including 58 studies, were analyzed. Remarkable results are that (1) there is a burgeoning interest in the use of eye tracking technology in multimedia learning research; (2) studies were mostly conducted with co...
COGNITIVE LOAD AND GOAL BASED SCENARIO CENTERED 3D MULTIMEDIA LEARNING ENVIRONMENT: LEARNERS' MOTIVATION, SATISFACTION AND MENTAL EFFORT Kilic, Eylem; Yıldırım, Zahide (SAGE Publications, 2012-01-01) This study investigated the learners' satisfaction, motivation, and mental effort in Goal Based Scenario centered 3D multimedia learning environment (GBSc3DM). The design of the GBSc3DM was based on the Cognitive Load Theory (CLT) principles. Two versions of the GBSc3DM were developed. While Cognitive Load Theory principles were taken into account and implemented in the design of the first version (+CLT), those principles were not applied in the design of the second version (CLT). A total of 82 9th grade hi...
Modeling of the activated sludge process by using artificial neural networks with automated architecture screening MORAL, Hakan; Aksoy, Ayşegül; Golcay, Celal F. (Elsevier BV, 2008-10-17) In this study, a MATLAB script was developed to aid in the development of artificial neural network (ANN) models by Screening Out the better ANN architectures for the cases studied. Then, the script was applied for modeling of activated sludge process (ASP) for two different cases. In the first one, a hypothetical wastewater treatment plant (WWTP) was considered. The input and Output data for the training of the ANN models were generated using a simulation model, which was an implementation of the Activated...
Hippocampal levels of ChAT, PKA, phospho-PKA and phospho-CaMKII alpha but not CaMKII alpha positively correlate with spatial learning skills in rats Gokcek-Sarac, Cigdem; Adalı, Orhan; Jakubowska-Dogru, Ewa (Elsevier BV, 2013-06-17) Despite very extensive investigations on molecular processes underlying memory formation, there are very few studies examining potential differences in the brain biochemistry between "good" and "poor" learners belonging to a random population of young animals. In the present study, an attempt was made to correlate individual variation in spatial learning in young-adult Long-Evans rats with hippocampal levels of protein kinase A (PKA), calcium/calmodulin-dependent protein kinase II alpha (CaMKII alpha), and ...

Citation Formats

V. Yaneva, L. A. H. Le An Ha, S. Eraslan, Y. Yesilada, and R. Mitkov, “Detecting High-Functioning Autism in Adults Using Eye Tracking and Machine Learning,” IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, pp. 1254–1261, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68158.