Journal of Research in Rehabilitation Sciences

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

Document Type : Original Articles

Authors

1 Assistant Professor, Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, Iran

2 Department of Psychology, School of Literature, Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 PhD Student, Department of Psychology, School of Human Sciences, University of Science and Arts of Yazd, Yazd, Iran

4 Student, Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, Iran

10.22122/jrrs.v15i3.3439

Abstract

Introduction: Attention Deficit Hyperactivity Disorder (ADHD) is a common neurobiological disorder 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 to design and validation of a software package based on Eye-Tracker technology 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 adolescents, as well as educational technologists; 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 device, and a researcher-made questionnaire for content validation. 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.

Keywords

  1. Thabet AM, Al GH, Abdulla T, Elhelou MW, Vostanis P. Attention deficit-hyperactivity symptoms among Palestinian children. East Mediterr Health J 2010; 16(5): 505-10.
  2. Hoseini BL, Ajilian Abbasi M, Taghizadeh Moghaddam H, Khademi G, Saeidi M. Attention deficit hyperactivity disorder (ADHD) in children: A short review and literature. Int J Pediatr 2014; 2(4-3): 445-52.
  3. Polanczyk G, de Lima MS, Horta BL, Biederman J, Rohde LA. The worldwide prevalence of ADHD: A systematic review and metaregression analysis. Am J Psychiatry 2007; 164(6): 942-8.
  4. Diamond A. Attention-deficit disorder (attention-deficit/ hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit/hyperactivity disorder (with hyperactivity). Dev Psychopathol 2005; 17(3): 807-25.
  5. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM–5). 5th ed. Washington, DC: APA; 2013.
  6. World Health Organization. The ICD-10 classification of mental and behavioural disorders: Diagnostic criteria for research. Geneva, Switzerland: World Health Organization; 1993.
  7. Wolraich M, Brown L, Brown RT, DuPaul G, Earls M, Feldman HM, et al. ADHD: clinical practice guideline for the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder in children and adolescents. Pediatrics 2011; 128(5): 1007-22.
  8. Evans WN, Morrill MS, Parente ST. Measuring inappropriate medical diagnosis and treatment in survey data: The case of ADHD among school-age children. J Health Econ 2010; 29(5): 657-73.
  9. Choudhry Z, Sengupta SM, Grizenko N, Harvey WJ, Fortier ME, Schmitz N, et al. Body weight and ADHD: examining the role of self-regulation. PLoS One 2013; 8(1): e55351.
  10. Halder S, Mahato A. Efficacy of a model attention training program for children with ADHD. J Indian Assoc Child Adolesc Ment Health 2017; 13(1): 10-25.
  11. Halder S, Kotnala S. Working memory, Verbal comprehension, Perceptual reasoning and Processing speed in ADHD and Normal children: A comparative study. J Indian Assoc Child Adolesc Ment Health 2018; 14(1):60-79.
  12. Canadian Attention Deficit Hyperactivity Disorder Resource Alliance (CADDRA): Canadian ADHD Practice Guidelines. 3rd ed. Toronto, ON: CADDRA; 2011.
  13. Taylor E, Dopfner M, Sergeant J, Asherson P, Banaschewski T, Buitelaar J, et al. European clinical guidelines for hyperkinetic disorder -- first upgrade. Eur Child Adolesc Psychiatry 2004; 13 Suppl 1: I7-30.
  14. Kuo FE, Taylor AF. A potential natural treatment for attention-deficit/hyperactivity disorder: evidence from a national study. Am J Public Health 2004; 94(9): 1580-6.
  15. Barkley RA. Taking charge of ADHD: The complete authoritative guide for parents. New York, NY: Guilford Press; 1995.
  16. Hallowell EM, Ratey JJ. Driven to distraction: recognizing and coping with attention deficit disorder from childhood through adulthood. New York, NY: Pantheon Books; 1994.
  17. Taylor AF, Kuo FE. Children with attention deficits concentrate better after walk in the park. J Atten Disord 2009; 12(5): 402-9.
  18. Taylor AF, Kuo FE, Sullivan WC. Coping with add: The surprising connection to green play settings. Environ Behav 2001; 33(1): 54-77.
  19. Fujioka T, Inohara K, Okamoto Y, Masuya Y, Ishitobi M, Saito DN, et al. Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults. Mol Autism 2016; 7: 19.
  20. Kelly M. Technical report of the use of a novel eye tracking system to measure impairment associated with mild traumatic brain injury. Cureus 2017; 9(5): e1251.
  21. Salkovskis PM, McGuire J. Cognitive-behavioural theory of OCD. In: Menzies RG, De Silva P, editors. Obsessive-compulsive disorder: Theory, research and treatment. Chichester, UK: Wiley; 2003. p. 59–78.
  22. Aslin RN. Infant eyes: A window on cognitive development. Infancy 2012; 17(1): 126-40.
  23. Hessels RS, Hooge IT, Kemner C. An in-depth look at saccadic search in infancy. J Vis 2016; 16(8): 10.
  24. Hunnius S, Geuze RH. Developmental changes in visual scanning of dynamic faces and abstract stimuli in infants: A longitudinal study. Infancy 2004; 6(2): 231-55.
  25. Krejcie RV, Morgan DW. Determining sample size for research activities. Educ Psychol Meas 1970; 30(3): 607-10.
Journal of Research in Rehabilitation Sciences
Volume 15, Issue 3 - Serial Number 3
August 2019
Pages 137-143