Design and Validation of an Eye-Tracker-Based Software to Improve Attention in Attention Deficit Hyperactivity Disorder (ADHD): A Validation Study

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Rasti Javad; Torabi Amirhasan; Amiri Golnaz; Malekifar Negar; Sarrami Foroushani Nasibeh

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Journal: Journal of Research in Rehabilitation Sciences Year:2019 | Volume:15 | Issue:3 Page(s): 137-143

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Title

Design and Validation of an Eye-Tracker-Based Software to Improve Attention in Attention Deficit Hyperactivity Disorder (ADHD): A Validation Study

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Keywords

Attention deficit hyperactivity disorder

Eye tracker

Attention

Abstract

Introduction: Attention deficit hyperactivity disorder/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Attention deficit hyperactivity disorder (ADHD) is a common neurobiological condition affecting school-age children. One of the main symptoms is short Attention span, which is a key factor of poor academic performance, especially in tasks requiring long-term concentration. Children with ADHD often jump from task to task without finishing any of them. They feel trapped by any task that takes longer than the time they are able to stay focused. Improving this skill usually requires breaking tasks into smaller segments while working to increase the child’ s Attention span. The goal of this research was design and validation of a software package based on eye-tracker to improve Attention in children with ADHD. Materials and Methods: The population of this validation study consists of psychologists, who are expert in the field of learning and cognitive deficits in children and teenagers, as well as educational technologies; among them, ten people were selected on purpose. The tools used in this research included a video game developed in Unity, and Tobii Eye tracker 4C. For content validation, a questionnaire was prepared by the technical team, and filled by psychologists. Software validity was calculated using the Kappa coefficient. Results: After applying requested revisions, the Kappa coefficient was calculated as 93. 4. Conclusion: The software seems to have appropriate content validity, and may be advised to be used to improve Attention in children with ADHD.

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APA: Copy

Rasti, Javad, Torabi, Amirhasan, Amiri, Golnaz, Malekifar, Negar, & Sarrami Foroushani, Nasibeh. (2019). Design and Validation of an Eye-Tracker-Based Software to Improve Attention in Attention Deficit Hyperactivity Disorder (ADHD): A Validation Study. JOURNAL OF RESEARCH IN REHABILITATION SCIENCES, 15(3 ), 137-143. SID. https://sid.ir/paper/961176/en

Vancouver: Copy

Rasti Javad, Torabi Amirhasan, Amiri Golnaz, Malekifar Negar, Sarrami Foroushani Nasibeh. Design and Validation of an Eye-Tracker-Based Software to Improve Attention in Attention Deficit Hyperactivity Disorder (ADHD): A Validation Study. JOURNAL OF RESEARCH IN REHABILITATION SCIENCES[Internet]. 2019;15(3 ):137-143. Available from: https://sid.ir/paper/961176/en

IEEE: Copy

Javad Rasti, Amirhasan Torabi, Golnaz Amiri, Negar Malekifar, and Nasibeh Sarrami Foroushani, “Design and Validation of an Eye-Tracker-Based Software to Improve Attention in Attention Deficit Hyperactivity Disorder (ADHD): A Validation Study,” JOURNAL OF RESEARCH IN REHABILITATION SCIENCES, vol. 15, no. 3 , pp. 137–143, 2019, [Online]. Available: https://sid.ir/paper/961176/en

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