Veröffentlichung

Titel:

Reflective and Impulsive GenAI Use in Workplace Tasks: Proposal for an Eye-Tracking Study of Adults with ADHD

AutorInnen:

Theresa Wortmann
Julia Krönung

Kategorie:

Beiträge in referierten Konferenzbänden

erschienen in:

Proceedings of the Information Systems and Neuroscience: NeuroIS Retreat, June 2-4, Vienna, Austria, 2026

Abstract:

Generative artificial intelligence (GenAI), particularly large language model (LLM)-based assistants, is increasingly embedded in knowledge work, requiring users to regulate attention and coordinate multiple information sources during task execution. At the same time, attention-deficit/hyperactivity disorder (ADHD), affecting approximately 2-5% of adults worldwide, is associated with systematic variability in executive functioning. Yet it remains unclear how variability in executive function shapes attention allocation and interaction dynamics during human-GenAI collaboration. Drawing on the Reflective-Impulsive Model, this study proposes a controlled eye-tracking experiment comparing adults with ADHD and non-ADHD controls in LLM-supported knowledge work. Using eye-tracking metrics, we examine process-level differences in attentional regulation between reflective and impulsive LMM-based GenAI use. The study contributes to Neuro-Information Systems research by operationalizing reflective and impulsive GenAI use through gaze-based indicators and examining ADHD-related variability in executive functioning as a boundary condition in LLM-supported knowledge work.

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