A Diagnostic Tool on Time Perception of Children with ADHD

  • Pongpanote GongsookEmail author
  • Janneke Peijnenborgh
  • Christian Sallustro
  • Erik van der Spek
  • Jun Hu
  • Francesco Bellotti
  • Matthias Rauterberg
  • Jos Hendriksen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8605)


ADHD is among the most common childhood developmental disorder which may affect the school achievements. Children with ADHD may show symptoms of time perception problems. Although ADHD is a clinical diagnosis with several approaches, no diagnostic tool has been designed to detect the symptoms of time perception problems in ADHD children. A computer game can be a powerful tool to be used as part of the psychological assessment and yield better accuracy in ADHD diagnosis. In this paper, we present our concept of a diagnostic tool on time perception for children with ADHD-symptoms.


ADHD Diagnostic tool Serious game Time perception 



This work was supported by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments (ICE), which is funded by the EACEA Agency of the European Commission under EMJD ICE FPA n 2010-0012. We are also very grateful for the collaboration with Dr. Jos Hendriksen, Prof. Dr. Hans Vles, Prof. Dr. Bert Aldenkamp, and Janneke Peijnenborgh MSc. from Kempenhaeghe, Center for Neurological Learning Disabilities, and Christian Sallustro from the User System Interation (USI) program, Eindhoven University of Technology.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Pongpanote Gongsook
    • 1
    Email author
  • Janneke Peijnenborgh
    • 2
  • Christian Sallustro
    • 1
  • Erik van der Spek
    • 1
  • Jun Hu
    • 1
  • Francesco Bellotti
    • 3
  • Matthias Rauterberg
    • 1
  • Jos Hendriksen
    • 2
  1. 1.Department of Industrial DesignEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Kempenhaeghe, Center for Neurological Learning DisabilitiesHeezeThe Netherlands
  3. 3.ELIOS Lab – DITENUniversity of GenovaGenoaItaly

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