CONFERENCEhttps://doi.org/10.22364/htqe.2026.06 | 99-115 | PDF
Relationships Among ADHD Traits, Attitudes Toward AI, and Job Crafting
Marta L. Ziņģe, Sanita Šaitere1
1 University of Latvia, Latvia
Abstract
The aim of the study was to investigate the relationship between ADHD (attention deficit hyperactivity disorder) traits, attitudes towards AI (artificial intelligence) and job crafting. With the growing popularity of neurodiversity in the professional environment, it is important to understand what techniques can be used to help neurodiverse employees.
The study involved 239 employed adults from a nonclinical convenience sample, including 59 men (24.7%) and 180 women (75.3%). The age of the participants ranged from 18 to 70 years (M = 36.14; SD = 12.54). Research method – quantitative research. Research design – non-experimental, cross-sectional, correlation study. Data collection method – surveys. Statistical methods – correlation analysis and regression analysis. The following instruments were used in the study: the Adult Executive Functioning Inventory (ADEXI; Holst & Thorell, 2018), the Approach-Avoidance Job Crafting Scale (Lopper et al., 2023), and the General Attitudes toward Artificial Intelligence Scale (GAAIS; Schepman & Rodway, 2020).
The results of the study suggest a weak positive association between positive attitudes toward AI and the executive functioning indicator of inhibition. Weak to moderate positive associations were found between executive functioning indicators and avoidance job crafting strategies, except for the relationship between inhibition and cognitive avoidance demands crafting. Furthermore, weak positive correlations with inhibition were observed for two of the four approach job crafting strategies, whereas a weak negative correlation was found between working memory and cognitive approach demands crafting. The study hypothesis – “ADHD traits will predict behavioral and cognitive avoidance job crafting strategies related to both resources and demands” – is confirmed, as ADHD traits statistically significantly predict avoidance strategies, although the explained variations are low.
The findings of the study provide practical insights for employers to increase their understanding of work habits and inclusion of neurodiverse employees.
Keywords: ADHD, attitude towards artificial intelligence, job crafting, neurodiversity
In: Human, Technologies and Quality of Education, 2026. Proceedings of Scientific Papers = Cilvēks, tehnoloģijas un izglītības kvalitāte, 2026. Rakstu krājums. Ed. L. Daniela. Riga: University of Latvia, 2026. 236 p.
ISBN 978-9934-36-685-7
https://doi.org/10.22364/htqe.2026