Exploring early-stage orienting behavior using an eye tracker for attention deficit hyperactivity disorder classification

S Seonmi Lee S Sangil Lee I Inji Jeong J Jaehyun Jeong H Hyoju Park (Pacific Northwest National Laboratory) M Mee-Kyoung Kwon T Theodore Zanto S Sunhae Sul (Department of Data Science, Hanyang University) D Dooyoung Jung

Abstract

Abstract Exploring early-stage orienting behavior is essential for elucidating the behavioral mechanisms underlying attentional shifts in attention deficit hyperactivity disorder (ADHD). However, traditional tasks lacking eye-tracking data often obscure these mechanisms. This study investigates low-level attentional shifting in ADHD using a simplified gaze-cueing task and explores classification markers via eye movement. Eye-tracking data were analyzed from 27 typically developing children and 19 children diagnosed with ADHD. We constructed a logistic regression model for classification purposes. Eye movement data alone yielded an accuracy of 0.84, comparable to the accuracy achieved using combined eye-tracking and behavioral data (0.87), underscoring the sensitivity of gaze-based features. Children with ADHD exhibited significantly prolonged inter-saccadic fixations in non-target regions ( p = .02, d = 0.80) and marginally reduced saccade frequency ( p = .06, d = − 0.52) during target detection, indicating delayed attentional shifting and diminished goal-directed attention. Prolonged fixation during target detection behavior emerged as the strongest predictor, correlating with both inattention and hyperactivity ( r = .46; r = .36; both p < .01). Additionally, children with ADHD demonstrated lower response to joint attention and a greater reliance on peripheral vision. These findings highlight distinct gaze patterns under low cognitive load, revealing subtle mechanisms of executive dysfunction and potential early classification markers.

Article Details

Volume / Issue Vol. 16, Issue 1
Published February 26, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (9)

S

Seonmi Lee

S

Sangil Lee

I

Inji Jeong

J

Jaehyun Jeong

H

Hyoju Park

Pacific Northwest National Laboratory

M

Mee-Kyoung Kwon

T

Theodore Zanto

S

Sunhae Sul

Department of Data Science, Hanyang University

D

Dooyoung Jung