Neurodivergence and Digital Accessibility: What Researchers Are Finding
Recent accessibility scholarship is investigating ADHD, autism, and neurodiversity with a breadth and critical depth that challenges how the field thinks about disability itself
When accessibility researchers study blind users, the questions tend to be about information: how do you convey visual content non-visually? When they study deaf users, the questions tend to be about communication: how do you convey audio information without sound? But when researchers study neurodivergent users — people with ADHD, autism, dyslexia, intellectual disabilities, and related conditions — the questions become harder to contain. They are about cognition, emotion, identity, social dynamics, institutional design, measurement bias, and the assumptions embedded in the technologies themselves.
This article examines what accessibility researchers have investigated, found, and argued about neurodivergence across 88 peer-reviewed papers published between 2007 and 2025. The earlier work focused largely on autism in children, particularly in therapeutic and educational contexts. The more recent work has expanded dramatically — into adult experiences, ADHD, workplace dynamics, online communities, generative AI, critical theory, and research methodology itself. What follows is organised not by condition but by what the research reveals.
The Instruments Are Part of the Problem
One of the more unsettling findings in recent neurodivergence research concerns the tools used to measure neurodivergent experience in the first place.
A 2025 critical review examined 27 self-report emotional dysregulation measures used in research with adults who have ADHD. Emotional dysregulation — difficulty managing emotions leading to intense, rapid, and disproportionate emotional responses — is a core aspect of adult ADHD, yet it is excluded from formal DSM-5 diagnostic criteria. The reviewers found that 20 of the 27 measures use normative language: loaded adjectives like "excessively," "too," and "overwhelmed" that frame ADHD emotional responses as deviations from a neurotypical standard, and comparative phrases like "as most people" or "more than others" that establish implicit social benchmarks. Thirteen measures use judgmental language including words like "irritable," "touchy," "sensitive," and "foolish" that carry stigma. And only a subset of the measures have been validated specifically with ADHD populations — many were designed for different clinical groups like bipolar disorder or brain injury.
The implication extends beyond measurement. If the instruments carry normative bias, technologies built on their findings risk perpetuating stigma and developing interventions misaligned with how ADHD adults actually experience their emotions. The paper argues that researchers designing emotion regulation tools for ADHD should interrogate whether their evidence base was generated using instruments that treat ADHD experience as inherently pathological.
Reframing Who Needs to Adapt
A recurring finding across recent papers is that neurodivergent people are expected to do all the adapting — masking their communication styles, conforming to neurotypical social norms, navigating systems designed without them in mind. Several studies explicitly challenge this framing.
NeuroBridge (2025) is an LLM-powered platform grounded in the "double empathy problem" — the theory that communication breakdowns between autistic and neurotypical people are bidirectional misunderstandings, not deficits in autistic social cognition. Rather than training autistic users to communicate more neurotypically, NeuroBridge helps neurotypical individuals understand autistic communication styles. A user study with 12 neurotypical participants found that 91.6% agreed the system helped them recognise communication style differences, and 100% agreed that autism can be viewed as a social difference needing understanding by others. Participants preferred NeuroBridge over blogs or social media for learning about autistic communication, citing the interactive, non-judgmental nature of the AI simulation.
A 2023 position paper on "Banal Autistic Social Media" argues that mainstream social platforms are designed around neurotypical assumptions that systematically exclude autistic socialities. The authors propose four design principles: non-prescriptive design (platforms should not attempt to elicit specific behaviours through algorithmic feeds); anti-normative design (rather than helping autistic users "get it right," design should accommodate their actual communication patterns); community control (moderation and curation led by neurodivergent users rather than imposed from outside); and predictability (consistent, transparent platform behaviour rather than opaque algorithmic changes).
A 2024 study of noise sensitivity management found that the burden of managing triggering sounds falls almost entirely on the person affected — leaving rooms, wearing headphones, timing activities to avoid peak noise. The researchers propose reframing noise accessibility as a shared responsibility, introducing an "awareness" framework where non-sensitive people are informed about noise impacts and can adjust their behaviour, and where environments are designed to reduce noise at the source rather than requiring individuals to insulate themselves from it.
Online Communities as Accessibility Infrastructure
Several studies document how neurodivergent people have built their own support systems through online communities — often on platforms not designed for this purpose.
A 2023 digital ethnography of ADHD communities on TikTok, Twitter, and Instagram — conducted over 18 months — found that the COVID-19 pandemic disrupted daily routines that had previously masked ADHD symptoms, leading many adults to recognise their neurodivergence through relatable social media content. These platforms function as what the researchers call "unbounded online health communities" — not contained within a single app or forum but distributed across mainstream platforms through hashtags, algorithms, and cross-platform sharing. Users navigate complex tensions: they seek validation of their experiences but face scepticism from both clinicians who dismiss self-diagnosis and community members who police authenticity. The paper documents significant diagnostic barriers including multi-step administrative processes that are "particularly challenging for people with executive dysfunction" — a system that demands the very cognitive functions it is supposed to evaluate.
A study of ADHD students in post-secondary education (2025) found that students develop collaborative strategies that go well beyond formal accommodations. "Body doubling" — the practice of working alongside another person to maintain focus — has evolved into diverse forms: physical co-presence, real-time virtual sessions through platforms like Focusmate, "Study With Me" Twitch streams, and even pre-recorded YouTube videos that provide the sense of co-presence without requiring synchronisation. Students also build structured peer accountability through shared task management and regular check-ins. The researchers, drawing on follow-up interviews with 11 ADHD students, conclude that access for ADHD is "fundamentally social and relational rather than purely individual" — a finding that challenges the traditional accommodation model of providing tools and modifications to individual users.
Autistic livestreamers on Twitch (2023) described the platform as enabling social connections "unavailable through in-person interactions" — one participant called them "easily the most meaningful and impactful relationships" of their life. The platform's asymmetric interaction dynamic (streamer broadcasts while audience responds via text chat) gave autistic streamers control over the pace and nature of social exchange, and text-based audience interaction removed the pressure of reading facial expressions and interpreting vocal tone in real time. Participants reported significant personal growth, including practicing "small talk" in a controlled environment and developing community management skills.
A 2025 study characterising ADHD content on YouTube and TikTok analysed 373 videos and found that platform design itself creates accessibility barriers. On both platforms, creators used identity disclosure, references to health publications, and disclaimers to build credibility — but TikTok's character limit and auto-scrolling interface reduced the visibility of disclaimers significantly. Dense comment sections with nested replies created cognitive overload for viewers with ADHD. The researchers report this as the first in-depth analysis of ADHD content ecosystems on video-sharing platforms, noting that ADHD affects an estimated 7.6% of children and 6.8% of adults, and that these users face unique challenges engaging with the very platforms where they seek information and community.
Generative AI as Cognitive Scaffold — and Its Failures
Neurodivergent users' experiences with generative AI tools are being documented with increasing specificity.
Neurodivergent university students (2025) described using AI tools like ChatGPT in four primary roles: as a brainstorming partner, a writing tutor, a study companion, and an administrative assistant. They framed AI not as a shortcut but as a cognitive scaffold that helped them manage executive function challenges. But the study also found tensions: students with anxiety-related conditions like OCD were particularly resistant to disrupting established workflows; limited AI literacy meant students used only basic features; and the trial-and-error nature of prompt engineering created frustration. The researchers apply the concept of "crip time" — working at one's own pace rather than neurotypical expectations — to argue that AI tools risk reinforcing neuronormative standards of productivity when they prioritise speed and output volume over the rhythms that neurodivergent users actually need.
An autoethnographic account (2025) describes the paradox of generative AI as ADHD assistive technology. The author found that AI tools function as effective executive function support — their conversational scaffolding, step-by-step guidance, patient repetition, and contextual memory align naturally with cognitive accessibility needs. But the healthcare systems designed to provide ADHD treatment actively undermine the cognitive functions they are meant to support: obtaining medication requires navigating multi-step bureaucratic processes, maintaining precise appointment schedules, and repeatedly re-authorising prescriptions, all of which demand exactly the executive functioning skills that ADHD impairs. The paper frames this as "executive dysfunction by design" — institutional systems that are structurally inaccessible to the people they are meant to serve.
The failures of AI for neurodivergent users are also being documented. A 2025 study analysed 348 real-world chat logs from a GPT-4-powered career chatbot deployed on a neuroinclusive employment platform with over 46,000 neurodivergent users. The chatbot frequently misrepresented users' qualifications — in one case fabricating a degree and claiming proficiency in skills the user did not possess. More insidiously, it imposed neurotypically-coded job-seeking language: "quick learner," "works well under pressure," "thrives in fast-paced environments" — phrases that describe work environments neurodivergent users specifically avoid. The researchers found that some users internalised this misalignment, believing the chatbot's inauthentic portrayal reflected their own inadequacy.
A 2025 study on AI-generated visual scene displays for augmentative communication devices — used by some autistic people — found that AI suggestions homogenised designs across different users, reducing the personalisation essential for effective communication. The paper asks whether generative AI is "helping or homogenising."
LaMPost (2022), an early prototype using Google's LaMDA to help adults with dyslexia write emails, found more positive results. The "Rewrite My Selection" feature was rated most useful (average 5.26/7), valued for helping users find wording that matched their intended tone. Subject line generation received a surprisingly strong response — many participants reported always leaving subject lines blank because nothing felt right. But participants were wary of AI appropriating their voice, and the study found a tension between wanting help and wanting to maintain ownership of their communication.
The Workplace as Accessibility Challenge
Research on neurodivergent workers is documenting barriers that go beyond whether individual tools are technically usable.
A large-scale mixed-methods study (2025) examined how neurodivergent software developers navigate disclosure decisions, combining analysis of 99 posts from r/ADHD_Programmers (79,000+ members) with a worldwide survey of 493 software engineers across 58 countries. The most surprising finding was that social support — not accommodations — is the primary motivation for disclosure. Survey respondents disclosed most often for transparency (70%), empathy and understanding (56%), anti-discrimination values (53%), and solidarity (42%), while only 18% cited accommodations. Disclosure outcomes were predominantly positive: 85% of neurodivergent respondents who disclosed reported positive experiences. But 26% reported negative experiences (some had both positive and negative), with consequences including being denied opportunities, labelled as less capable, and having their challenges minimised. The "tech bro" culture of some engineering teams was identified as particularly hostile to vulnerability and disclosure.
Research on ADHD in STEM doctoral programmes (2025) found that participants universally avoided formal disability disclosure due to fear of being perceived as less capable. One described "severe impostor syndrome" where "every accommodation feels like an excuse." Informal peer networks of disabled graduate students proved transformative, helping participants reframe challenges as structural rather than personal. The paper reports that only 130 computing PhD graduates self-identified as having a cognitive disability (including ADHD) in a 2023 US survey — less than 0.05% of all PhD recipients — despite estimated adult ADHD prevalence of 3-6%. The authors interpret this disparity as evidence of persistent structural barriers.
A 2025 study on AI and gamification tools for employees with ADHD explored how reinforcement learning and game mechanics might support workplace focus and productivity. And a study on telepresence robots in higher education (2025) found that audio distortion was a major barrier for neurodivergent students — robots amplified background noise, triggering sensory overload particularly for students with autism-related sound hypersensitivity. When classmates approached the robot screen, one autistic participant experienced it as "feeling trapped in a fishbowl."
Sensory Experience as Accessibility Concern
Several studies investigate how sensory processing differences — particularly around sound — create barriers that are poorly understood and rarely addressed by technology design.
A large-scale survey of over 200 autistic adults (2023) identified sound and light as the two primary sensory stress triggers. For sound, people shouting (88%), crowds (83%), people eating (58%), and repetitive sounds (58%) were the most distressing. Human-generated sounds caused the most sensitivity (56% mean), followed by technological sounds (45%), and nature sounds (20%). For light, fluorescent strip lighting was the most aversive. The study found that 94% of respondents used smartphones and 53% used noise-cancelling headphones as coping tools, with 38% expressing interest in augmented reality and 33% in VR as potential stress management technologies. The finding that autistic adults want existing familiar devices enhanced rather than replaced provides a clear design direction.
A sound masking study (2024) explored an alternative to noise cancellation: introducing ambient background sounds that reduce the perceptual salience of triggering noises while preserving situational awareness. Natural sounds, particularly calming water and rain, were consistently preferred over synthetic noise colours like white, pink, and brown noise. But preferences were highly individual and context-dependent — no single mask worked universally. Some triggering sounds proved harder to mask than others: eating sounds and baby crying were particularly resistant because participants' distress was driven by emotional associations rather than purely acoustic properties. Participants strongly desired control over mask selection, volume, and activation timing, rejecting fully automated systems in favour of user-initiated masking.
A 2024 study on noise sensitivity management found that support people — family members, friends, colleagues — play a critical role in helping noise-sensitive individuals manage their environments, but often lack the knowledge or tools to do so effectively. The researchers propose technology that mediates collaborative noise management rather than treating it as an individual problem.
Fidgeting has received similarly careful attention. A 2024 co-design study with 16 adults with ADHD explored programmable swarm robots as fidget devices. Participants identified five core elements of successful fidgeting: tactile engagement, visual engagement, auditory feedback, unpredictability (slight randomness that maintains interest without causing distraction), and agency (the ability to control and customise behaviour). Customisability was the most valued feature — participants wanted to adjust fidgeting to match their emotional state, with calming patterns during anxiety and stimulating patterns during boredom. The research reframes fidgeting from a disruptive behaviour to be suppressed into a legitimate self-regulation strategy that can be supported through design.
Identity, Disclosure, and Representation
How neurodivergent people manage their identity in digital spaces is a recurring theme.
A 2024 study on invisible disability representation in social VR found that participants with ADHD and chronic conditions wanted dynamic, state-based avatar representations — energy-level indicators that dim as fatigue increases, facial expressions that reflect pain levels — rather than static symbols. Most participants were "situational disclosers" who wanted context-dependent control: disclosing in support groups but not in professional meetings, sharing with friends but not strangers.
A 2024 paper on intersectional neurodivergent experience — written from outside the academic research community by a cisgender, Southeast Asian American, neuroqueer woman — proposes three tenets for reconceptualising neurodivergence. First: neurodivergence is a functional difference, not a deficit — traits like sensory sensitivity or stimming can be strengths in some contexts and limitations in others. Second: neurodivergent disability is situated, embodied, and dynamic — a momentary interaction between individual characteristics and environmental context, not a fixed state. Third: neurodivergent experience is inherently intersectional — shaped by race, gender, sexuality, and class in ways that single-axis frameworks cannot capture. The paper notes that as a Southeast Asian American woman, the author faced diagnostic gatekeeping shaped by gendered and racialised expectations of what ADHD and autism "look like."
The way neurodivergence is represented by technology companies is also under scrutiny. A 2025 critical discourse analysis of 38 autism tech startup websites found three rhetorical patterns: fear-based marketing that constructs autism as a crisis requiring urgent intervention; hope-based messaging that positions proprietary technology as the solution; and oscillation between medical and neurodiversity framing depending on the audience. The researchers found that most startups "heavily drew from medical model language," positioning autism as something to be treated, while selectively adopting neurodiversity-affirming language in marketing materials without fundamentally changing their approach. The paper notes that the autism treatment industry reached $34.1 billion in 2023.
Designing With Rather Than For
A consistent finding across the research is that involving neurodivergent people in design produces different — and often better — outcomes.
TwIPS (2024), an LLM-powered texting application for autistic users, found that participants valued a "Decipher" feature that explained ambiguous messages — the relief of having an on-demand "translator" for social cues rather than spending extended mental energy parsing them. But participants also raised concerns about dependency: regular use of AI-mediated communication might reduce opportunities to develop their own pragmatic language skills.
Co-design with neurodivergent individuals for robot dogs (2024) revealed that robot failures can be interpreted as social rejection — a finding with implications for any technology designed for populations sensitive to social dynamics. Participants wanted robots that provided emotional support during meltdowns and anxiety, but also flagged a paradox: neurodivergent individuals who crave spontaneity may not respond well to the predictable, rule-based interactions that current robots offer.
Research on customisable AR for autism therapy (2022) found that therapists valued flexibility within constraints — enough customisation options to adapt to individual children without overwhelming complexity. The "freeze" feature, which captured an AR experience on screen when a child moved away from the target image, addressed a practical reality that only practitioners working with autistic children would immediately recognise.
A 2024 paper documented the journey of Chloe, a woman with intellectual disability who transitioned from research participant to co-researcher across multiple inclusive technology projects. The study describes how her contributions evolved from testing prototypes to generating design ideas, evaluating concepts, and mentoring newer participants — challenging assumptions about what roles people with intellectual disabilities can play in research.
What the Research Leaves Open
Several important questions are raised but not resolved by this body of work.
The relationship between AI tools and neurodivergent autonomy remains contested. AI can scaffold executive function, translate social cues, and manage sensory environments — but it can also reproduce neurotypical norms, homogenise communication, and create dependency. No clear consensus has emerged on where the line falls.
The research is heavily weighted toward ADHD and autism in adults. Conditions like dyslexia, dyscalculia, intellectual disability, and traumatic brain injury receive substantially less attention in recent work, despite affecting large populations with distinct accessibility needs. A 2025 review of 25 years of reading support technologies in the ACM Digital Library found persistent gaps in research addressing intellectual disability and cognitive disability specifically.
Institutional and systemic barriers — healthcare bureaucracy, academic structures, employment practices — are increasingly documented as accessibility problems, but the research offers limited guidance on how to change them. The finding that healthcare systems are "structurally inaccessible" to the people they serve is powerful. The question of what to do about it is mostly left for future work.
And the tension between individual customisation and collective action runs through nearly every study. Neurodivergent users consistently want tools they can configure to their individual needs. But many of the barriers they face — noise in shared spaces, neurotypical communication norms in workplaces, algorithmic feeds designed for neurotypical engagement patterns — are structural problems that individual tools cannot solve.
This article draws on 88 peer-reviewed papers reviewed at A11y Paradise (a11ybob.com). All research cited was published at ACM conferences and venues between 2007 and 2025.