Designing assistive technologies for the ADHD domain

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Assistive technologies have proven to support and empower people with a variety of mental diagnoses in performing self-care activities in their everyday lives. However, little research has explored the potentials for assistive technologies for people with Attention Deficit Hyperactivity Disorder (ADHD). In this paper, we identify a set of challenges that children with ADHD typically experience, which provides an empirical foundation for pervasive health researchers to address the ADHD domain. The work is grounded in extensive empirical studies and it is contextualized using literature on ADHD. Based on these studies, we also present lessons learned that are relevant to consider when designing assistive technology to support children with ADHD. Finally, we provide an example (CASTT) of our own work to illustrate how the presented findings can frame research activities and be used to develop novel assistive technology to empower children with ADHD and improve their wellbeing.

Original languageEnglish
Title of host publicationPervasive Computing Paradigms for Mental Health : 5th International Conference, MindCare 2015, Revised Selected Papers
EditorsSilvia Serino, Aleksandar Matic, Dimitris Giakoumis, Guillaume Lopez, Pietro Cipresso
Number of pages10
Volume604
PublisherSpringer VS
Publication year2016
Pages259-268
ISBN (print)9783319322698
ISBN (Electronic)978-3-319-32270-4
DOIs
Publication statusPublished - 2016
Event5th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2015 - Milan, Italy
Duration: 24 Sep 201525 Sep 2015

Conference

Conference5th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2015
LandItaly
ByMilan
Periode24/09/201525/09/2015
SeriesCommunications in Computer and Information Science
Volume604
ISSN1865-0929

    Research areas

  • ADHD, Assistive technology, Body sensor networks, Children, Mental disorder management, Wearable computing

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