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Exploring early-stage orienting behavior using an eye tracker for attention deficit hyperactivity disorder classification
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  • Published: 26 February 2026

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

  • Seonmi Lee7,
  • Sangil Lee2,
  • Inji Jeong1,
  • Jaehyun Jeong3,
  • Hyoju Park4,
  • Mee-Kyoung Kwon5,
  • Theodore Zanto6,
  • Sunhae Sul8 &
  • …
  • Dooyoung Jung7 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Neuroscience
  • Psychology

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.

Data availability

The datasets generated and/or analyzed during this study are not publicly available due to participant confidentiality agreements, but are available from the corresponding author on reasonable request.

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Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2020M3E5D9080787). This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant Number: HI22C0646). This study was supported by the U-K (UNIST-Korea) research brand program (1.230016.01) funded by UNIST (Ulsan National Institute of Science & Technology).

Author information

Authors and Affiliations

  1. Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea

    Inji Jeong

  2. School of Liberal Arts, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea

    Sangil Lee

  3. LVIS Korea, Daegu, 42710, Republic of Korea

    Jaehyun Jeong

  4. Department of Psychology, Pusan National University, Pusan, 46241, Republic of Korea

    Hyoju Park

  5. Department of Child Studies, Seoul Women’s University, Seoul, 01797, Republic of Korea

    Mee-Kyoung Kwon

  6. Neuroscape, Department of Neurology, University of California, San Francisco, CA, 94158, USA

    Theodore Zanto

  7. School of Digital Humanities and Computational Social Sciences, Korea Advanced Institute of Science and Technology, Daejeon, 34141 , Republic of Korea

    Seonmi Lee & Dooyoung Jung

  8. Department of Data Science, Hanyang University, Seoul, 04763, Republic of Korea

    Sunhae Sul

Authors
  1. Seonmi Lee
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  2. Sangil Lee
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Contributions

L.S.M. conceived the study, collected data, performed preprocessing and statistical analyses, and wrote the original draft. L.S.I. contributed to the conceptualization, experimental design, discussion, and revision of the manuscript. J.I.J. collected data and contributed to the original draft. J.J.H. collected data and contributed to data preprocessing and statistical analyses. P.H.J. contributed to the conceptualization. K.M.K. contributed to the conceptualization, provided advice on data analysis, revised the manuscript, and acquired funding. Z.T. contributed to the discussion and revision of the manuscript. S.S. contributed to the conceptualization and funding acquisition. J.D.Y. contributed to the conceptualization and methodology, revised the manuscript, supervised the project, and acquired funding. All authors reviewed and approved the final manuscript.

Corresponding author

Correspondence to Dooyoung Jung.

Ethics declarations

Competing interests

The authors declare no competing interests.

 Informed consent

Informed consent was obtained from all subjects involved in the study.

Institutional review board 

This study was approved by the Central Research Facilities Research Ethics Board of the Ulsan National Institute of Science and Technology (UNISTIRB-20-62-A).

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Cite this article

Lee, S., Lee, S., Jeong, I. et al. Exploring early-stage orienting behavior using an eye tracker for attention deficit hyperactivity disorder classification. Sci Rep (2026). https://doi.org/10.1038/s41598-026-41419-0

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  • Received: 23 July 2025

  • Accepted: 19 February 2026

  • Published: 26 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-41419-0

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Keywords

  • Early-stage orienting behavior
  • ADHD
  • Eye movement
  • Attention shifts
  • Classification
  • Gaze-cueing task
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