Children with ADHD and their Care Ecosystem: Designing Beyond Symptoms

Item Type Conference or Workshop Item (Paper)
Abstract Designing for children with ADHD has been of increasing interest to the HCI community. However, current approaches do not adequately involve all relevant stakeholders, and primarily focus on addressing symptoms, following a medical model of disability that is extrinsic to neurodivergent interests. To address this, we employed a multi-step, multi-stakeholder approach (N=31). First, we conducted 1) interviews with children with ADHD and their care ecosystem followed by 2) a co-design pilot with one child with ADHD and his therapists and an interview with a UX designer and an occupational therapist. We then employed 3) co-design sessions with neurotypical children and children with ADHD, and 4) a focus group with their therapists. We identifed communication and refection as key concepts for empowering and promoting the well-being of children with ADHD and their care ecosystem. We contribute design implications for future systems aiming to promote the overall well-being of this population.
Authors Stefanidi, Evropi; Schöning, Johannes; Rogers, Yvonne & Niess, Jasmin
Language English
Keywords ADHD, neurodiversity, neurodivergent, children, interviews, assis- tive technologies, co-design, participatory design, refection, em- powerment, well-being
Subjects computer science
social sciences
HSG Classification contribution to scientific community
HSG Profile Area None
Date 2023
Publisher ACM
Title of Book Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI)
Event Title ACM CHI Conference on Human Factors in Computing Systems
Depositing User Prof. Dr. Johannes Schöning
Date Deposited 24 Feb 2023 10:50
Last Modified 24 Feb 2023 10:50
URI: https://www.alexandria.unisg.ch/publications/269138

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Stefanidi, Evropi; Schöning, Johannes; Rogers, Yvonne & Niess, Jasmin: Children with ADHD and their Care Ecosystem: Designing Beyond Symptoms. 2023. - ACM CHI Conference on Human Factors in Computing Systems.

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https://www.alexandria.unisg.ch/id/eprint/269138
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