short-paper

Designing Real Time Assistive Technologies: A Study of Children with ADHD

Authors:

Kaj GrønbækAuthors Info & Claims

OzCHI '15: Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

Pages 34 - 38

https://doi.org/10.1145/2838739.2838815

Published: 07 December 2015 Publication History

Abstract

Children with mental disorders like Attention Deficit Hyperactivity Disorder (ADHD) often experience challenges in school as they struggle to maintain their attention. Based on empirical studies conducted in school contexts and together with teachers and ADHD domain professionals, we identified design criteria in relation to three core components (sensing, recognizing, and assisting) for designing real time assistive technologies for children with ADHD. Based on these design criteria, we designed the Child Activity Sensing and Training Tool (CASTT), a real time assistive prototype that captures activities and assists the child in maintaining attention. From a preliminary evaluation of CASTT with 20 children in several schools, we and found that: 1) it is possible to create a wearable sensor system for children with ADHD that monitors physical and physiological activities in real time; and that 2) real time assistive technologies have potential to assist children with ADHD in regaining attention in critical school situations.

References

[1]

Albinali, F., Goodwin, M. S., Intille, S. S., 2009. Recognizing Stereotypical Motor Movements in the Laboratory and Classroom: A Case Study with Children on the Autism Spectrum, in: Proceedings of the 11th International Conference on Ubiquitous Computing, Ubicomp '09. ACM, New York, NY, USA, pp. 71--80.

Digital Library

[2]

Börger, N., Meere, J. van D., Ronner, A., Alberts, E., Geuze, R., Bogte, H., 1999. Heart Rate Variability and Sustained Attention in ADHD Children. J. Abnorm. Child Psychol. 27, 25--33.

[3]

Brynskov, M., Lunding, R., Vestergaard, L. S., 2012. The Design of Tools for Sketching Sensor-based Interaction, in: Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction, TEI '12. ACM, New York, NY, USA, pp. 213--216.

Digital Library

[4]

Cogmed Working Memory Training {WWW Document}, 2015. URL http://www.cogmed.com/ (accessed 1.1.15).

[5]

DePrenger, M., Shao, Y., Lu, F., Fleming, N., Sikdar, S., 2010. Feasibility study of a smart pen for autonomous detection of concentration lapses during reading. Eng. Med. Biol. Soc. EMBC 2010, 1864--1867.

[6]

Figo, D., Diniz, P. C., Ferreira, D. R., Cardoso, J. M., 2010. Preprocessing Techniques for Context Recognition from Accelerometer Data. Pers. Ubiquitous Comput 14, 645--662.

Digital Library

[7]

Goldman LS, Genel M, Bezman RJ, Slanetz PJ, for the Council on Scientific Affairs, American Medical Association, 1998. DIagnosis and treatment of attention-deficit/hyperactivity disorder in children and adolescents. JAMA279, 1100--1107.

[8]

Harms, H., Amft, O., Tröster, G., Appert, M., Müller, R., Meyer-Heim, A., 2009. Wearable Therapist: Sensing Garments for Supporting Children Improve Posture, in: Proceedings of the 11th International Conference on Ubiquitous Computing, Ubicomp '09. ACM, New York, NY, USA, pp. 85--88.

Digital Library

[9]

Hayes, G. R., Gardere, L. M., Abowd, G. D., Truong, K. N., 2008. CareLog: A Selective Archiving Tool for Behavior Management in Schools, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '08. ACM, New York, NY, USA, pp. 685--694.

Digital Library

[10]

Hayes, G. R., Hirano, S., Marcu, G., Monibi, M., Nguyen, D. H., Yeganyan, M., 2010. Interactive Visual Supports for Children with Autism. Pers. Ubiquitous Comput 14, 663--680.

Digital Library

[11]

Hirano, S. H., Yeganyan, M. T., Marcu, G., Nguyen, D. H., Boyd, L. A., Hayes, G. R., 2010. vSked: Evaluation of a System to Support Classroom Activities for Children with Autism, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '10. ACM, New York, NY, USA, pp. 1633--1642.

Digital Library

[12]

Lim, C. G., Lee, T. S., Guan, C., Fung, D. S. S., Zhao, Y., Teng, S. S. W., Zhang, H., Krishnan, K. R. R., 2012. A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder. PLoS ONE 7, e46692.

[13]

Massetti, G. M., Lahey, B. B., Pelham, W. E., Loney, J., Ehrhardt, A., Lee, S. S., Kipp, H., 2008. Academic achievement over 8 years among children who met modified criteria for attention-deficit/hyperactivity disorder at 4-6 years of age. J. Abnorm. Child Psychol. 36, 399--410.

[14]

McHugh, B., Dawson, N., Scrafton, A., Asen, E., 2010. "Hearts on their sleeves": the use of systemic biofeedback in school settings. J. Fam. Ther. 32, 58--72.

[15]

Pantelopoulos, A., Bourbakis, N. G., 2010. A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 40, 1--12.

Digital Library

[16]

Sonne, T., Grønbæk, K., 2015. Designing Assistive Technologies for the ADHD Domain, in: Accepted for Publication in Pervasive Computing Paradigms for Mental Health. Springer International Publishing.

[17]

Sonne, T., Grønbæk, K., 2013. Exploring new potentials in preventing unhealthy computer habits, in: CHI '13 Extended Abstracts on Human Factors in Computing Systems, CHI EA '13. ACM, New York, NY, USA, pp. 487--492.

Digital Library

[18]

Zentall, S. S., 1980. Behavioral comparisons of hyperactive and normally active children in natural settings. J. Abnorm. Child Psychol. 8, 93--109.

Cited By

Stefanidi EWassmann JWoźniak PSpellmeyer GRogers YNiess J(2024)MoodGems: Designing for the Well-being of Children with ADHD and their Families at HomeProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655795(480-494)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655795
Tejasvi PKumar T(2024)A Smart System Facilitating Emotional Regulation in Neurodivergent ChildrenProcedia Computer Science10.1016/j.procs.2024.04.308235(3257-3270)Online publication date: 2024
https://doi.org/10.1016/j.procs.2024.04.308
Ahmad Omaliha HAhmed I(2024)AI Syndrome: an intellectual asset for students or a progressive cognitive declineAsian Journal of Psychiatry10.1016/j.ajp.2024.10396994(103969)Online publication date: Apr-2024
https://doi.org/10.1016/j.ajp.2024.103969
Show More Cited By

Index Terms

Designing Real Time Assistive Technologies: A Study of Children with ADHD
1. Applied computing
  1. Life and medical sciences
2. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

Recommendations

Changing Family Practices with Assistive Technology: MOBERO Improves Morning and Bedtime Routines for Children with ADHD
CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Families of children with Attention Deficit Hyperactivity Disorder (ADHD) often report morning and bedtime routines to be stressful and frustrating. Through a design process involving domain professionals and families we designed MOBERO, a smartphone-...
TangiPlan: designing an assistive technology to enhance executive functioning among children with adhd
IDC '14: Proceedings of the 2014 conference on Interaction design and children

Children with Attention Deficit and Hyperactivity Disorder (ADHD) experience a deficit in cognitive processes responsible for purposeful goaldirected behaviors, known as executive functioning (EF). In an effort to improve EF, we are developing TangiPlan ...
A Follow-up Study of a Successful Assistive Technology for Children with ADHD and Their Families
IDC '16: Proceedings of the The 15th International Conference on Interaction Design and Children

Little research on assistive technologies for families of children with attention deficit hyperactivity disorder (ADHD) has investigated the long-term impact, after the assistive technology is returned to the researchers. In this paper, we report the ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

OzCHI '15: Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

December 2015

691 pages

ISBN:9781450336734

DOI:10.1145/2838739

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction
HFESA: Human Factors and Ergonomics Society of Australia Inc.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Conference

OzCHI '15

OzCHI '15: The Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

December 7 - 10, 2015

VIC, Parkville, Australia

Acceptance Rates

OzCHI '15 Paper Acceptance Rate 47 of 97 submissions, 48%;

Overall Acceptance Rate 362 of 729 submissions, 50%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

29
Total Citations
View Citations
855
Total Downloads

Downloads (Last 12 months)152
Downloads (Last 6 weeks)9

Reflects downloads up to 12 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Stefanidi EWassmann JWoźniak PSpellmeyer GRogers YNiess J(2024)MoodGems: Designing for the Well-being of Children with ADHD and their Families at HomeProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655795(480-494)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655795
Tejasvi PKumar T(2024)A Smart System Facilitating Emotional Regulation in Neurodivergent ChildrenProcedia Computer Science10.1016/j.procs.2024.04.308235(3257-3270)Online publication date: 2024
https://doi.org/10.1016/j.procs.2024.04.308
Ahmad Omaliha HAhmed I(2024)AI Syndrome: an intellectual asset for students or a progressive cognitive declineAsian Journal of Psychiatry10.1016/j.ajp.2024.10396994(103969)Online publication date: Apr-2024
https://doi.org/10.1016/j.ajp.2024.103969
Phalke SShrivastava A(2024)HI Applications for ADHD Children: The Graphic Design PerspectiveBrain-like Super Intelligence from Bio-electromagnetism10.1007/978-981-97-0232-9_2(105-127)Online publication date: 8-Mar-2024
https://doi.org/10.1007/978-981-97-0232-9_2
Campbell JÇerçi SCecchinato M(2024)ADHD and Knowledge Work: Exploring Strategies, Challenges and Opportunities for AIDesign for Equality and Justice10.1007/978-3-031-61688-4_10(115-123)Online publication date: 9-Jul-2024
https://doi.org/10.1007/978-3-031-61688-4_10
Silva LCibrian FMonteiro EBhattacharya ABeltran JBonang CEpstein DSchuck SLakes KHayes G(2023)Unpacking the Lived Experiences of Smartwatch Mediated Self and Co-Regulation with ADHD ChildrenProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581316(1-19)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581316
Stefanidi ESchöning JRogers YNiess J(2023)Children with ADHD and their Care Ecosystem: Designing Beyond SymptomsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581216(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581216
Vuohijoki TIhalainen TVirkki J(2023)Smart clothing and furniture for supporting participation-co-creation concepts for daily livingSN Applied Sciences10.1007/s42452-023-05315-w5:4Online publication date: 22-Mar-2023
https://doi.org/10.1007/s42452-023-05315-w
Banire BAl Thani DQaraqe M(2023)One size does not fit all: detecting attention in children with autism using machine learningUser Modeling and User-Adapted Interaction10.1007/s11257-023-09371-034:2(259-291)Online publication date: 17-Jun-2023
https://doi.org/10.1007/s11257-023-09371-0
Phalke SShrivastava A(2023)HI Applications for ADHD Children: A Case for Enhanced Visual Representations Using Novel and Adapted GuidelinesProceedings of Trends in Electronics and Health Informatics10.1007/978-981-99-1916-1_16(207-226)Online publication date: 28-Jun-2023
https://doi.org/10.1007/978-981-99-1916-1_16
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents