When the Words Are There But the Voice Isn't: Selective Mutism and the Myth of Accessible Public Space
- Nicole Brennan
- Mar 3
- 3 min read

Selective mutism is one of the most misunderstood conditions in the cognitive disability space.
Most people hear "mutism" and assume silence—a person who simply doesn't speak. But selective mutism isn't a choice, a mood, or shyness. Classified in the DSM-5 as an anxiety disorder, it describes a condition in which the neurological ability to speak becomes functionally inaccessible in specific social contexts, even when the person desperately wants to speak. The words are there. The voice isn't.
Research describes this as a failure of speech motor initiation under social threat — not an absence of language, and not a refusal to communicate. Studies suggest it affects approximately 1 in 140 children, and while it was historically understood as a childhood condition, evidence increasingly points to persistence into adulthood, often undiagnosed and misattributed to social anxiety or introversion. For many adults, selective mutism isn't something they outgrew. It's something they learned to work around—invisibly, exhaustingly, and often alone.
The Design Problem Nobody's Talking About
Now imagine that person at a town hall. A public comment period. A government services counter. A polling location where an official asks them to verbally confirm their name and address.
We design civic spaces—and the technology that supports them—around a foundational assumption: that participation is verbal. Speak up. Ask questions. Advocate for yourself. Call this number. Press 1 for English.
For people with selective mutism, and for the broader population of people with communication differences—including those with autism, stuttering, aphasia, or situational anxiety—that assumption renders otherwise accessible spaces functionally inaccessible. Not because of a physical barrier. Not because of a missing ramp or a broken screen reader. But because of how we've defined what participation looks like in the first place.
This is a design failure. And it's one that rarely appears on accessibility checklists.
The Gap Has a Cost
WCAG guidelines address visual and auditory accessibility with admirable specificity. Section 508 mandates technical compliance across federal platforms. But cognitive and communication disabilities, the ones that shape how people process and express information, not just whether they can see or hear it, remain underrepresented in both policy and practice.
The cost is concrete: people with selective mutism and related conditions disproportionately disengage from civic life. They skip the town hall. They don't call the helpline. They navigate bureaucratic systems without asking for help they need, because asking requires speaking, and speaking—in that room, in that moment—isn't available to them.
That gap doesn't just affect individuals. It shapes who gets heard, who gets counted, and whose needs get built into the systems that are supposed to serve everyone.
What This Series Is About
This is the first post in an ongoing series on cognitive disabilities and the design of public-facing spaces and technology. I'm not approaching this purely as an academic exercise. I work at the intersection of human-centered design, civic technology, and cognitive science — and I've spent enough time inside government systems to know how much invisible exclusion gets designed in by default.
In the posts ahead, I'll be exploring conditions including ADHD, processing differences, trauma-related communication barriers, and others—not as edge cases, but as design constraints that reveal the limits of how we currently define access.
If you're working at this intersection—as a designer, researcher, clinician, advocate, or someone with lived experience—I'd love to hear from you!
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Nicole Brennan is a Senior UX Designer and Board-Certified Cognitive Specialist at Harvard's Applied Social Media Lab (Berkman Klein Center). She has led product design for federal civic platforms serving 100M+ users annually and builds AI systems at the intersection of behavioral science and human-centered design.


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