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Towards the design of technology for measuring and capturing children's attention on e-learning tasks

Published: 24 June 2013 Publication History

Abstract

Being able to be attentive as necessary on an e-learning task is not always easy for a young student, especially for children affected by Attention Deficit Hyperactivity Disorder. To support this category of students, we aim to design a software module able to: (a) automatically detect their level of attention when working on a learning task and, (b) propose suitable stimuli to re-capture their attention on it. This paper describes the first two steps towards this application: (1) the building of an attention model, meant as the base of the software module for automatically measuring the attention level, and (2) the study of a face tracker to measure the attention level in real time. Finally, it proposes some possible stimuli which can be used to re-capture the lost attention.

References

[1]
R. Agarwal and E. Karahana. Time flies when youâĂŹre having fun: Cognitive Absorption and beliefs about information technology usage. MIS Quarterly, 24(4):665--694, 2000.
[2]
T. Armstrong. Strategies to Empower, Not Control, Kids Labeled ADD/ADHD. In ADD/ADHD Alternatives in the Classroom. ASCD Books, 1999.
[3]
D. Bennett, S. Zentall, K. Giorgetti-Borucki, and B. French. The Effects of Computer-Administered Choice on Students with and without Characteristics of Attention Deficit Hyperactivity Disorder. Behavioral Disorders, 22:557--587, 2006.
[4]
F. Campolongo, editor. La testa altrove: indagine sul disturbo da Deficit di Attenzione e Iperattivita' (ADHD Attention Deficit Hyperactivity Disorder. Editore Provincia Aut.Trento, IPRASE, 2008.
[5]
A. Cappelletti, G. Schiavo, N. Sebe, V. Staiano, J.and Yanulevskaya, and M. Zancanaro. Engagementtracker and sensichair engagement recognition using easily detectable behavioral cues. FBK Manual, 2012.
[6]
W. James. The Principles of Psychology. H. Holt and Company, 1890.
[7]
M. Knapp and J. Hall. Nonverbal Communication in Human Interaction. Boston, MA, Wadsworth, 2007.
[8]
T. Manly, V. Anderson, I. Nimmo-Smith, A. Turner, P. Watson, and I. Robertson. The differential assessment of children's attention: the Test of Everyday Attention for Children (TEA-Ch), normative sample and ADHD performance. Journal of Child Psychology and Psychiatry, 42:1065--1081, 2001.
[9]
G. Marzocchi, S. Portolan, and A. Usilla. Autoregolare l'attenzione. http://www.erickson.it/Multimedia/Pagine/Scheda-CDROM.aspx?ItemId=37646.
[10]
A. Mohamed, V. Courboulay, and K. Menard. Attention Analysis in Interactive Software for Children with Autism. In Proc. of the 8th Int. ACM SIGACCESS Conf. on Computer & Accessibility, 2006.
[11]
R. Parasuraman and D. Davies. Varieties of attention. Academic Press, 1984.
[12]
W. Pillisbury. Attention. Kessinger Publishing, 1921.
[13]
C. Roda and T. J. Attention aware systems: Theories, applications, and research agenda. Computers in Human Behavior, 31:187--201, 2006.
[14]
E. Sondik, J. Madans, and J. Gentleman. Summary Health Statistics for U.S. Children. Vital and Health Statistics, 10(254), 2011.
[15]
R. Vertegaal. Attentive User Interfaces. Communications of the ACM, 46(3), 2003.
[16]
R. Vertegaal, J. Shell, D. Chen, and A. Mamuji. Designing for augmented attention: Towards a framework for attentive user interfaces. Computers in Human Behavior, 22(4):771--789, 2006.
[17]
M. Wolraich, L. Brown, R. Brown, G. DuPaul, M. Earls, and H. Feldman. ADHD: Clinical Practice Guideline for the Diagnosis, Evaluation, and Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents. Pediatrics, 2011.
[18]
C. Xu, R. Reid, and A. Steckelberg. Technology applications for children with ADHD: Assessing the empirical support. Education and Treatment of Children, 25(2):224--228, 2000.
[19]
S. Zentall. Math Performance of Students with ADHD: Cognitive and Behavioral Contributors and Interventions. In D. Berch and M. Mazzocco, editors, Why is Math So Hard for Some Children? The Nature and Origins of Mathematical Learning Difficulties and Disabilities, pages 219--243. Baltimore: Paul H. Brookes Publishing Co., 2007.

Cited By

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  • (2024)Model Development in Recognizing Affect through Facial Expressions of Students’ Engagement in Synchronous Class2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA)10.1109/ICSINTESA62455.2024.10748174(136-141)Online publication date: 12-Jul-2024
  • (2022)Designing for Care Ecosystems: a Literature Review of Technologies for Children with ADHDProceedings of the 21st Annual ACM Interaction Design and Children Conference10.1145/3501712.3529746(13-25)Online publication date: 27-Jun-2022
  • (2019)Development of a Model that Detects Student's Disengagement during an Online Lecture Presentation through Eye Tracking and/or Head MovementProceedings of the 2019 International Conference on Information Technology and Computer Communications10.1145/3355402.3355412(59-65)Online publication date: 16-Aug-2019
  • Show More Cited By

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cover image ACM Conferences
IDC '13: Proceedings of the 12th International Conference on Interaction Design and Children
June 2013
687 pages
ISBN:9781450319188
DOI:10.1145/2485760
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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2013

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Author Tags

  1. attention capturing
  2. children and e-learning
  3. design

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  • Short-paper

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IDC '13
Sponsor:
  • The New School
  • ACM
  • Sesame Workshop
IDC '13: Interaction Design and Children 2013
June 24 - 27, 2013
New York, New York, USA

Acceptance Rates

Overall Acceptance Rate 172 of 578 submissions, 30%

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IDC '25
Interaction Design and Children
June 23 - 26, 2025
Reykjavik , Iceland

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Cited By

View all
  • (2024)Model Development in Recognizing Affect through Facial Expressions of Students’ Engagement in Synchronous Class2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA)10.1109/ICSINTESA62455.2024.10748174(136-141)Online publication date: 12-Jul-2024
  • (2022)Designing for Care Ecosystems: a Literature Review of Technologies for Children with ADHDProceedings of the 21st Annual ACM Interaction Design and Children Conference10.1145/3501712.3529746(13-25)Online publication date: 27-Jun-2022
  • (2019)Development of a Model that Detects Student's Disengagement during an Online Lecture Presentation through Eye Tracking and/or Head MovementProceedings of the 2019 International Conference on Information Technology and Computer Communications10.1145/3355402.3355412(59-65)Online publication date: 16-Aug-2019
  • (2019)Attention Assessment: Evaluation of Facial Expressions of Children with Autism Spectrum DisorderUniversal Access in Human-Computer Interaction. Multimodality and Assistive Environments10.1007/978-3-030-23563-5_4(32-48)Online publication date: 4-Jul-2019
  • (2017)An unobtrusive and multimodal approach for behavioral engagement detection of studentsProceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education10.1145/3139513.3139521(26-32)Online publication date: 13-Nov-2017

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