Designing Personal Informatics for Self-reflection and Self-awareness: The Case of Children with Attention Deficit Hyperactivity Disorder

  • Juan Jimenez Garcia
  • Hilde de Bruyckere
  • David V. Keyson
  • Natalia Romero
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8309)

Abstract

A main challenge in designing for children with Attention Deficit Hyperactivity Disorder (ADHD) is to support the learning process of supressing undesired behaviour on daily routines by means of positive feedback and rewards. Personal Informatics (PI) is a model that supports capturing and integration of personal data to facilitate reflection and action that is used as a design platform to support behavioral learning. This paper presents a design-driven research study that illustrates the potential of PI to support self-awareness and self-reflection of ADHD children. Two design approaches are described which aim to support self-behavioral inhibition learning: (a) KITA, a Kinesiofeedback Toy for ADHD, being a Tangible User Interface that measures and assesses children’s activity and provides them with feedback as to whether or not behavior is within appropriate limits; and (b) WRISTWIT, a Wearable device presenting information on attention and time for ADHD to increase on-task behavior. KITA and WRISTWIT were tested in the field with children as design means to implement PI to positively modify children behavior during daily school routines.

Keywords

Personal Informatics children Attention Deficit Hyperactivity Disorder ADHD Tangible User Interface wearable self-awareness selfreflection Empirical Research Through Design 

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References

  1. 1.
    Szatmari, P.: The epidemiology of attention- deficit hyperactivity disorders. In: Weiss, G. (ed.) Attention-Deficit Hyperactivity Disorder, vol. 1, pp. 361–371. Saunders, Philadelphia (1992)Google Scholar
  2. 2.
    National Institutes of Health [NIH]. National Institutes of Health consensus development conference statement: Diagnosis and treat- ment of Attention Deficit/Hyperactivity Disorder (ADHD). Journal of the American Academy of Child and Adolescent Psychiatry 39, 182–193 (2000)Google Scholar
  3. 3.
    Barkley, R.A.: Attention-Deficit/Hyperactivity Disorder. In: Mash, E.J. (ed.) Child Psychopathology, pp. 75–143. Guilford Press, New York (2003)Google Scholar
  4. 4.
    Hallahan, D.P., Lloyd, J.W., Kauffman, J.M., Weiss, M.P., Martinez, E.A.: Learning Disabilities: Foundations, Characteristics and Effective Teaching, pp. 277–280 (2005)Google Scholar
  5. 5.
    GreatSchools.: Excerpts from his [Barkley’s] lecture in San Francisco, CA on June 17, 2000 (2008) (retrieved April 6, 2012)Google Scholar
  6. 6.
    Fowler, M.: Increasing on-task performance for students with ADHD. New Jersey Education Association Review (2010)Google Scholar
  7. 7.
    AAPB, Applied Psychophysiology & Biofeedback, http://www.aapb.org
  8. 8.
    Klingberg, T., Fernell, E., Olesen, P., Johnson, M., Gustafsson, P., Dahlström, K., Gillberg, C., Forssberg, H., Westerberg, H.: Computerized Training of Working Memory in Children with ADHD – a Randomized, Controlled, Trial. J. American Academy of Child and Adolescent Psychiatry 44(2), 177–186 (2005)CrossRefGoogle Scholar
  9. 9.
    Tryon Warren, W., Shick, T.G., Kazlausky, T., Gruen, W., Swanson, J.M.: Reducing Hyperactivity with a Feedback Actigraph: Initial Findings. Clinical Child Psychology and Psychiatry (2006)Google Scholar
  10. 10.
    Yang, B., Chan, R.C.K., Zou, X., Jing, J., Mai, J., Li, J.: Time perception deficit in children with ADHD. Brain Research 1170, 90–96 (2007), doi:10.1016/j.brainres.2007.07.021CrossRefGoogle Scholar
  11. 11.
    Ian, L., Anind, D., Jodi, F.: A stage-based model of personal informatics systems. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems, Atlanta, Georgia, USA, April 10-15 (2010)Google Scholar
  12. 12.
    Pirzadeh, A., He, L., Stolterman, E.: Personal informatics and reflection: a critical examination of the nature of reflection. In: CHI Extended Abstracts 2013, pp. 1979–1988 (2013)Google Scholar
  13. 13.
    Munson, S.A.: Mindfulness, Reflection, and Persuasion in Personal Informatics. In: Personal Informatics Workshop, CHI 2012, May 6 (2012)Google Scholar
  14. 14.
    Keyson, D.V., Bruns, M.: Empirical research through design Proceedings And Conference Contributions. Empirical research through design. In: Proceeding of the Proceedings of the International Association of Societies of Design Research Conference (IASDR 2009), Seoul, Korea, October 18-22, pp. 4548–4557 (2009)Google Scholar
  15. 15.
    Visser, F.S., Stappers, P.J., Van der Lugt, R., Sanders, E.B.: Contextmapping: experiences from practice. CoDesign 1(2), 119–149 (2005)CrossRefGoogle Scholar
  16. 16.
    Wavefrontlabs, Accelerometer Data Pro (retrieved October 27, 2012)Google Scholar
  17. 17.
    Kelley, J.F.: An iterative design methodology for user- friendly natural language office information applications. ACM Trans. Inf. Syst. 2(1), 26–41 (1984), doi:http://doi.acm.org/10.1145/357417.357420 MathSciNetCrossRefGoogle Scholar
  18. 18.
    O’Malley, C., Fraser, D.: Literature Review in Learning with Tangible Technologies. Nesta Futurelab series. Report 12 (2005), http://www.nesta-futurelab.org/research/reviews/reviews_11_and12/12_01.htm
  19. 19.
    Burns, P.J., Christopher, L., Shlomo, B.: Using Personal Informatics to Motivate Physical Activity: Could we be doing is wrong? In: CHI 2012 Workshop, vol. 1 (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Juan Jimenez Garcia
    • 1
  • Hilde de Bruyckere
    • 1
  • David V. Keyson
    • 1
  • Natalia Romero
    • 1
  1. 1.Department of Industrial Design Engineering, ID-StudioLabDelft University of TechnologyDelftThe Netherlands

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