CoChat
Sign Up
Cited by 81Innovative Human-Technology InteractionAttention Deficit Hyperactivity DisorderMobile Health and mHealth Applications

Supporting Self-Regulation of Children with ADHD Using Wearables: Tensions and Design Challenges

Open access
Cibrian, Franceli L., Lakes, Kimberley D., Tavakoulnia, Arya, Guzman, Kayla, Schuck, Sabrina, Hayes, Gillian R.·2020·Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
DOI 10.1145/3313831.3376837
Open this paper in CoChat — free accountOpen PDF

Abstract

The design of wearable applications supporting children with Attention Deficit Hyperactivity Disorders (ADHD) requires a deep understanding not only of what is possible from a clinical standpoint but also how the children might understand and orient towards wearable technologies, such as a smartwatch. Through a series of participatory design workshops with children with ADHD and their caregivers, we identified tensions and challenges in designing wearable applications supporting the self-regulation of children with ADHD. In this paper, we describe the specific challenges of smartwatches for this population, the balance between self-regulation and co-regulation, and tensions when receiving notifications on a smartwatch in various contexts. These results indicate key considerations-from both the child and caregiver viewpoints-for designing technological interventions supporting children with ADHD.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/3313831.3376837

Cites

49 of 51 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Universal Design for Learning and use of technology for planning, reading, writing, communicating, and collaborating are hugely beneficial in promoting inclusivity.

    “Universal Design for Learning (UDL) and the use of technology for planning, reading, writing, communicating, and collaborating prove hugely beneficial in promoting inclusivity [20], [30].”

    From Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change (2024) · cites this paper as [20]

    The Introduction says wearable technologies have been used to support people with neurodevelopmental disorders, and the Conclusion supports including children with disabilities in designing those technologies. The paper does not address Universal Design for Learning or show that technology for planning, reading, writing, communicating, and collaborating is hugely beneficial for educational inclusivity. No page numbers were available in our copy. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

  • Sensory sensitivity differences manifest in different degrees of hypersensitivity or hyposensitivity in neurodivergent people.

    “-Sensory sensitivity differences manifest in different degrees of hypersensitivity or hyposensitivity -people with autism, ADHD, chronic illness, and brain injury, for example, might experience this around touch, smell, taste, sound, sight, proprioception (body awareness), or balance [20], [38], [89].”

    From Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change (2024) · cites this paper as [20]

    The Introduction identifies ADHD and autism as neurodevelopmental disorders, but does not describe sensory hypersensitivity or hyposensitivity. Searches for those terms and for sensory processing across the listed senses found no passage addressing the claim; a sensory-processing study appears only in the References. No page numbers were available in our copy. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

  • A systematic review of research on neurodivergent students in higher education reveals studies typically focus on dyslexia, autism or ADHD and are mainly conducted in English-speaking countries.

    “A systematic review of research on neurodivergent students in higher education reveals that studies typically focus on dyslexia, autism or ADHD and have been conducted mainly in English-speaking countries [20].”

    From Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change (2024) · cites this paper as [20]

    The Participants section describes an empirical study of 24 children aged 10–13, not a systematic review of students in higher education. Searches for higher education, dyslexia, and English-speaking countries found no passage reporting the claimed patterns in the literature. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

  • These findings confirm existing studies on the existence of barriers to equal access in Danish higher education and support previous research demonstrating that universities often act as neurodiversity cold spots, presenting a wide range of inaccessibility issues.

    “These findings unfortunately confirm existing studies on the existence of barriers to equal access in Danish higher education [78], [81] and support previous research demonstrating that universities often act as neurodiversity”

    From Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change (2024) · cites this paper as [20]

    Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Pascal Budner, Joscha Eirich, and Peter A Gloor. 2017. "Making you happy makes me happy" Measuring Individual Mood with Smartwatches. arXiv preprint arXiv:1711.06134.: 1-14. · arXiv
  2. Edward Cutrell, Mary Czerwinski, and Eric Horvitz. 2001. Notification, Disruption, and Memory: Effects of Messaging Interruptions on Memory and Performance. Conference on Human-Computer Interaction Interact 2001, 1999: 263-269.
  3. Megan McClelland, John Geldhof, Fred Morrison, Steinunn Gestsdóttir, Claire Cameron, Ed Bowers, Angela Duckworth, Todd Little, Jennie Grammer, and 1. 2018. Self-Regulation. In Handbook of Life Course Health Development. Springer, 275-298.

Cited by

Sorted by citations

Related

Authors
Cibrian, F. L., Lakes, K. D., Tavakoulnia, A., Guzman, K., Schuck, S., & Hayes, G. R.
Affiliations
  • University of California, Irvine (US)
  • University of California, Riverside (US)
ORCID
Venue
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2020-04-21
Pages
1-13
DOI
10.1145/3313831.3376837
OpenAlex
W3028854389
Cited by
81
References
51
Citations by year
2026: 14 · 2025: 18 · 2024: 13 · 2023: 15 · 2022: 11 · 2021: 9 · 2020: 1
FWCI
6.58
Type
conference paper
Language
en
Open access
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
  • CHI Conference on Human Factors in Computing Systems (publishedVersion)
  • Chapman University Digital Commons (Chapman University) (submittedVersion)
Funders
  • Jacobs Foundation Advanced Research Fellowship
  • Foundation for the National Institutes of Health (1R21HS026058-01A1)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
attention deficit hyperactivity disorder, self-regulation, wearable devices, smartwatches, children, co-regulation, notifications, participatory design, caregiver perspectives, technology-based interventions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review