Technostress research has ignored neurodivergent workers — a new design proposes to fix that
A new methodological paper from the University of Applied Sciences Burgenland, Lancaster University, and the University of Applied Sciences Upper Austria identifies a research gap: technostress — the stress response to digital technology use at work — has been studied almost exclusively in neurotypical populations. The proposed remedy is a controlled experimental design comparing neurodivergent (ADHD, autism, dyslexia) and neurotypical participants under standardised digital stress conditions, using subjective, physiological, and behavioural measures.
The paper does not present findings. It proposes how to study the question. The contribution is methodological — and the fact that this needs to be argued for in 2026 is itself the story.
Technostress as a construct has been around since 2007. Tarafdar and colleagues identified categories like techno-overload, techno-invasion, techno-complexity, and techno-uncertainty. Subsequent research has linked technostress to reduced job satisfaction, decreased performance, cognitive overload, and physiological stress markers — elevated cortisol, changes in heart rate variability, increased blood pressure. The phenomenon is real, and the measurement is reasonably well-developed.
But the populations studied have been overwhelmingly neurotypical. ADHD workers — who already exhibit differences in attention regulation and executive functioning — have been excluded by default rather than excluded explicitly. The same applies to autistic and dyslexic workers. The proposed design corrects this by explicitly comparing the groups.
The deeper question the paper does not ask: why would technostress affect neurodivergent workers differently? The implicit answer in the paper is. of course, the standard deficit framing — neurodivergent attention regulation is “weaker,” sensory processing is “more sensitive,” executive function is “impaired.” This framing is already established in the literature. The paper inherits it without examining it. That framing is wrong.
Pre-adolescent screen exposure and adult technostress are the same process
I’ve previously covered the research on virtual autism and screen exposure creating real and virtual autism. The argument: excessive screen exposure in the most plastic periods of early development shapes the attentional system as it forms. Toddlers exposed to high screen time develop autism-like attentional patterns because the screen environment trains attention to operate in fragments, on external stimulus, with constant novelty. The developing brain adapts to its input. The input shapes the output. Technostress is the same process at a different stage of the lifespan.
Pre-adolescent screen exposure shapes attention during formation. Adolescent and adult technostress strains attention after formation. The mechanism is identical: digital environments impose fragmentation, external stimulus dependency, and novelty churn on attentional systems that were supposed to operate differently. In children, the system adapts and becomes the digital environment. In adults, the system resists and the resistance is measured as stress.
Both are. by definition, cybernetic attention displacing human attention, and my earlier work covered the underlying mechanism. This piece is the lifespan extension. The screen environment does not stop affecting the attentional system at age 12. It continues — and the continuation is what “technostress” research has been measuring without naming.
The proposal paper frames technostress as “stress reactions that arise in response to the use of digital technologies, particularly when these technologies are experienced as complex, interruptive, or difficult to control.” That is a description of the phenomenon. The deeper description is: technostress is what happens when human attention is required to operate within a cybernetic environment that progressively colonises it.
Neurodivergent workers are the canaries — not the deficient
The proposal paper assumes neurodivergent workers will show stronger technostress responses because their attention regulation, executive functioning, and sensory processing differ from neurotypical norms. The framing is implicit: neurodivergent attention is “weaker” or “more sensitive,” and therefore more vulnerable to the strain digital environments impose.
This framing fails on its own terms. Neurodivergence is not defined by “weaker” (HUMAN) attention. It is defined by different (CYBERNETIC) attention. ADHD attention is not less attention — it is attention that operates with different priorities, different time horizons, and different responsiveness to externally imposed stimulus salience. Autistic and/or ADHD attention is not deficient — it is attention that processes detail, pattern, and sensory input differently. The DSM categories describe divergence from what we call “neurotypical norms”, not actual deficiency in actual attentional capacity.
The proposal paper cites differences in attention regulation, executive functioning, and sensory processing as if these are deficits that explain why neurodivergent workers might experience more technostress. But the same differences could explain why neurodivergent workers might experience the strain first and most clearly — not because their attention is weaker, but because they experience more chafe with environmental mismatch. They are not. contrary to the prevailing paradigms, failing the environment: they are detecting it.
The canary in the coal mine does not have weaker lungs than the miner, and its collapse signals a problem in the air, not a problem in the bird.
Neurodivergent workers showing measurable technostress in environments that produce sub-clinical strain in neurotypical workers are signalling something about the environment — not something about themselves.
This reframe matters because the proposal paper’s design — and the entire technostress field — risks producing findings that confirm neurodivergent vulnerability without questioning the environment producing the vulnerability. The intervention implied by deficit framing is to help neurodivergent workers cope better. The intervention implied by canary framing is to redesign the environment.
Cybernetic attention is displacing human attention across the lifespan
The pattern is now visible across stages. In early childhood, screen exposure shapes the attentional system during formation. The developing brain adapts to the digital input it receives. The output is attention that resembles autism — fragmented, externally stimulated, low in sustained internal direction. Some of this is reversible (the “virtual autism” cases that resolve when screens are removed). Some of it may not be. In adolescence and adulthood, the digital environment continues to impose its demands on already-formed attention. Neurotypical attention exhibits sub-clinical strain that has been documented in technostress research for nearly two decades but has not been named for what it is. Neurodivergent attention — already operating differently — exhibits clinical strain that the field is only now beginning to study.
In all cases, the same process is occurring: human attention is being progressively displaced by cybernetic attention. The displacement is not framed this way in the literature. It is framed as overload, as interruption, as complexity, as poor design. These framings locate the problem in features of the technology rather than in the structural relationship between human cognition and digital environments. The framings allow the technology to be optimised without the relationship being questioned.
The relationship needs to be questioned. If pre-adolescent screen exposure shapes attention as it forms, and if adult digital work environments strain attention after it forms, then the lifespan trajectory is a single arc: human attention is being progressively reshaped by, and made dependent on, systems that are not human. Neurodivergent workers experience this earlier and more visibly. Neurotypical workers experience it later and less visibly. Neither group is escaping it. Now right now. Not at any time soon, from where I’m looking (is it just my glasses?!).
The proposal paper, if implemented, will likely confirm that neurodivergent workers show stronger technostress responses than neurotypical workers. It will likely interpret this through a deficit lens. The findings will be used to design more inclusive workplaces — better adjustments, better tools, better support. None of which will address the underlying displacement. None of which will ask whether the cybernetic environment should continue to expand at the rate it is expanding. None of which will ask whether human attention is worth preserving as something distinct from the systems that are progressively absorbing it.
The canaries are calling. The question is whether anyone is listening.
Citations
van den Heuvel, L., Ivkić, I., & Riedl, R. (2026) — Neurodiversity and Technostress: Towards a Multimodal Research Design for Evaluating Subjective, Physiological, and Behavioral Responses
