Interaction Design Strategies for ADHD Learning Attention - A Review

Hadia Riaz; Abrar Ullah; Claudio Zito; Ahmed Ryad Soobhany

doi:10.1007/978-981-96-1758-6_27

Interaction Design Strategies for ADHD Learning Attention - A Review

Hadia Riaz^*
, Abrar Ullah
, Claudio Zito
, Ahmed Ryad Soobhany

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Interaction design and development strategies contain the proficiency to mimic user attention and engagement. These strategies are proven to be beneficial for learning attention while employing various types of digital learning platforms. However, special education need (SEN) learners possess special needs due to their neurodevelopmental disorder and deficiency of proper brain functioning and there-fore giving rise to malfunctioning of inhibitory control, sustained attention, and working memory. Hence, there is a need to develop user-centric interaction design and development strategies and implications to increase the attention span of ADHD (attention deficit hyperactivity disrorder) while learning. In this literature review, we aim to highlight the attention problem of ADHD due to malfunctioning of executive functioning and working memory. We have summarized the existing IxD (interaction design)based solutions for ADHD learning attention. The related limitations, chal-lenges and findings of the literature review are presented along with the future possi-bilities. This paper highlights the need to develop user-centric solutions for ADHD attention improvement during learning and the incorporation of the machine learning and artificial intellegnce based interfaces for the advance user-centric solutions.

Original language	English
Title of host publication	Proceedings of International Conference on Information Technology and Applications
Subtitle of host publication	ICITA 2024
Editors	Abrar Ullah, Sajid Anwar
Publisher	Springer
Pages	321-336
Number of pages	16
ISBN (Electronic)	9789819617586
ISBN (Print)	9789819617579
DOIs	https://doi.org/10.1007/978-981-96-1758-6_27
Publication status	Published - 15 Jun 2025
Event	18th International Conference on Information Technology and Applications 2024 - Sydney, Australia Duration: 17 Oct 2024 → 19 Oct 2024 https://2024.icita.world/#/

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1248
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	18th International Conference on Information Technology and Applications 2024
Abbreviated title	ICITA 2024
Country/Territory	Australia
City	Sydney
Period	17/10/24 → 19/10/24
Internet address	https://2024.icita.world/#/

Keywords

ADHD
AUI
EEG
HCI
UX and UI

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-981-96-1758-6_27

Cite this

Riaz, H., Ullah, A., Zito, C., & Soobhany, A. R. (2025). Interaction Design Strategies for ADHD Learning Attention - A Review. In A. Ullah, & S. Anwar (Eds.), Proceedings of International Conference on Information Technology and Applications: ICITA 2024 (pp. 321-336). (Lecture Notes in Networks and Systems; Vol. 1248). Springer. https://doi.org/10.1007/978-981-96-1758-6_27

@inproceedings{b2ae664a188f4ebcb30a4c69b88454db,

title = "Interaction Design Strategies for ADHD Learning Attention - A Review",

abstract = "Interaction design and development strategies contain the proficiency to mimic user attention and engagement. These strategies are proven to be beneficial for learning attention while employing various types of digital learning platforms. However, special education need (SEN) learners possess special needs due to their neurodevelopmental disorder and deficiency of proper brain functioning and there-fore giving rise to malfunctioning of inhibitory control, sustained attention, and working memory. Hence, there is a need to develop user-centric interaction design and development strategies and implications to increase the attention span of ADHD (attention deficit hyperactivity disrorder) while learning. In this literature review, we aim to highlight the attention problem of ADHD due to malfunctioning of executive functioning and working memory. We have summarized the existing IxD (interaction design)based solutions for ADHD learning attention. The related limitations, chal-lenges and findings of the literature review are presented along with the future possi-bilities. This paper highlights the need to develop user-centric solutions for ADHD attention improvement during learning and the incorporation of the machine learning and artificial intellegnce based interfaces for the advance user-centric solutions.",

keywords = "ADHD, AUI, EEG, HCI, UX and UI",

author = "Hadia Riaz and Abrar Ullah and Claudio Zito and Soobhany, \{Ahmed Ryad\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 18th International Conference on Information Technology and Applications 2024, ICITA 2024 ; Conference date: 17-10-2024 Through 19-10-2024",

year = "2025",

month = jun,

day = "15",

doi = "10.1007/978-981-96-1758-6\_27",

language = "English",

isbn = "9789819617579",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "321--336",

editor = "Abrar Ullah and Sajid Anwar",

booktitle = "Proceedings of International Conference on Information Technology and Applications",

url = "https://2024.icita.world/\#/",

}

Riaz, H, Ullah, A , Zito, C & Soobhany, AR 2025, Interaction Design Strategies for ADHD Learning Attention - A Review. in A Ullah & S Anwar (eds), Proceedings of International Conference on Information Technology and Applications: ICITA 2024. Lecture Notes in Networks and Systems, vol. 1248, Springer, pp. 321-336, 18th International Conference on Information Technology and Applications 2024, Sydney, New South Wales, Australia, 17/10/24. https://doi.org/10.1007/978-981-96-1758-6_27

Interaction Design Strategies for ADHD Learning Attention - A Review. / Riaz, Hadia; Ullah, Abrar ; Zito, Claudio et al.
Proceedings of International Conference on Information Technology and Applications: ICITA 2024. ed. / Abrar Ullah; Sajid Anwar. Springer, 2025. p. 321-336 (Lecture Notes in Networks and Systems; Vol. 1248).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Interaction Design Strategies for ADHD Learning Attention - A Review

AU - Riaz, Hadia

AU - Ullah, Abrar

AU - Zito, Claudio

AU - Soobhany, Ahmed Ryad

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025/6/15

Y1 - 2025/6/15

N2 - Interaction design and development strategies contain the proficiency to mimic user attention and engagement. These strategies are proven to be beneficial for learning attention while employing various types of digital learning platforms. However, special education need (SEN) learners possess special needs due to their neurodevelopmental disorder and deficiency of proper brain functioning and there-fore giving rise to malfunctioning of inhibitory control, sustained attention, and working memory. Hence, there is a need to develop user-centric interaction design and development strategies and implications to increase the attention span of ADHD (attention deficit hyperactivity disrorder) while learning. In this literature review, we aim to highlight the attention problem of ADHD due to malfunctioning of executive functioning and working memory. We have summarized the existing IxD (interaction design)based solutions for ADHD learning attention. The related limitations, chal-lenges and findings of the literature review are presented along with the future possi-bilities. This paper highlights the need to develop user-centric solutions for ADHD attention improvement during learning and the incorporation of the machine learning and artificial intellegnce based interfaces for the advance user-centric solutions.

AB - Interaction design and development strategies contain the proficiency to mimic user attention and engagement. These strategies are proven to be beneficial for learning attention while employing various types of digital learning platforms. However, special education need (SEN) learners possess special needs due to their neurodevelopmental disorder and deficiency of proper brain functioning and there-fore giving rise to malfunctioning of inhibitory control, sustained attention, and working memory. Hence, there is a need to develop user-centric interaction design and development strategies and implications to increase the attention span of ADHD (attention deficit hyperactivity disrorder) while learning. In this literature review, we aim to highlight the attention problem of ADHD due to malfunctioning of executive functioning and working memory. We have summarized the existing IxD (interaction design)based solutions for ADHD learning attention. The related limitations, chal-lenges and findings of the literature review are presented along with the future possi-bilities. This paper highlights the need to develop user-centric solutions for ADHD attention improvement during learning and the incorporation of the machine learning and artificial intellegnce based interfaces for the advance user-centric solutions.

KW - ADHD

KW - AUI

KW - EEG

KW - HCI

KW - UX and UI

UR - https://www.scopus.com/pages/publications/105009411225

U2 - 10.1007/978-981-96-1758-6_27

DO - 10.1007/978-981-96-1758-6_27

M3 - Conference contribution

SN - 9789819617579

T3 - Lecture Notes in Networks and Systems

SP - 321

EP - 336

BT - Proceedings of International Conference on Information Technology and Applications

A2 - Ullah, Abrar

A2 - Anwar, Sajid

PB - Springer

T2 - 18th International Conference on Information Technology and Applications 2024

Y2 - 17 October 2024 through 19 October 2024

ER -

Interaction Design Strategies for ADHD Learning Attention - A Review

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Embargoed Document

Fingerprint

Cite this