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Cognitive Load and Parental Management of ADHD: An Adaptive Dynamical System Model of Decision-Making and Mental Health Impact

  • Lillian Lawlor
  • , Khushi Patel
  • , Jan Treur*
  • *Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

Attention Deficit/Hyperactivity Disorder (ADHD) is the most prevalent developmental problem in children and is highly heritable. ADHD is a neurodevelopmental disorder marked by impulsivity, hyperactivity, and persistent patterns of inattention. The paper concentrates on kids between the ages of 7 and 12. During this crucial developmental stage ADHD symptoms can have a major influence on everyday functioning and achievement. Additionally, the overall amount of mental effort expended in working memory is referred to as cognitive load. For example, a parent balancing work responsibilities, household tasks, and managing their child's ADHD-related needs experiences both external and internal cognitive load. This paper investigates the interactions and effects on parental mental health between internal cognitive load—resulting from the unique demands of their child's condition—and external cognitive load— arising from their other duties. Data show that parents experiencing high cognitive load may be less able to help their children consistently and effectively, which might result in more stress and mental health issues. By examining the interplay between a child's needs and a parent's cognitive processes, it is intended to provide insights that can be applied to understand more complex caring scenarios. To better understand the underlying adaptive dynamics, the paper proposes an adaptive dynamical system model focusing on the mental processes of parents managing children with ADHD. The findings suggest that children with ADHD require consistent and effective support from parents whose cognitive load is not overly taxed by other responsibilities. This paper's insights could be applicable to wider caregiving situations, providing a framework for understanding and mitigating the impacts of cognitive load on parental mental health and child management.

Original languageEnglish
Title of host publicationArtificial Intelligence and System Engineering
Subtitle of host publicationProceedings of 8th Computational Methods in Systems and Software 2024, Volume 2
EditorsRadek Silhavy, Petr Silhavy
PublisherSpringer Nature
Pages565-583
Number of pages19
ISBN (Electronic)9783031967597
ISBN (Print)9783031967580
DOIs
Publication statusPublished - 2025
Event8th International Conference on Computational Methods in Systems and Software, CoMeSySo 2024 -
Duration: 12 Oct 202414 Oct 2024

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer
Volume1490 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389
NameCoMeSySo: Proceedings of the Computational Methods in Systems and Software
PublisherSpringer
Volume2024

Conference

Conference8th International Conference on Computational Methods in Systems and Software, CoMeSySo 2024
Period12/10/2414/10/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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