How EZ Access Came To Be
Introduction
Understanding the basis of EZ Access is critical if you work with self-service, kiosks, or ATMs. Too often, teams treat accessibility as a checklist or bolt-on, without appreciating the decades of research, policy work, and real-world deployments that shaped this particular approach. EZ Access is not just a keypad or an audio jack; it’s an entire interaction model, licensing framework, and legal/IP ecosystem that affects how you design, buy, deploy, and certify devices. If you don’t understand its foundations, you’re flying blind on risk, cost, and true usability. Thanks to Gregg Vanderheiden for providing the source information.
The Trace Center EZ-Access
The Trace Center’s EZ Access work grew out of decades of research on how to make technology usable for people with a wide range of disabilities, culminating in a practical, repeatable approach to accessible kiosks and information/transaction machines (ITMs). For self-service practitioners, it represents a bridge between high-level universal design principles and concrete, field-tested interaction patterns that can be implemented at scale.Vanderheiden-et-al_20220322-Smaller-a.pdf
From communication boards to public machines
The Trace Center began in 1971, when students built custom communication systems for a 12‑year‑old boy with severe cerebral palsy who could only “talk” by slowly pointing to letters on a wooden board. That work forced the team to solve problems around noisy input, limited motor control, fatigue, and real‑time feedback—issues that show up again decades later in kiosk design.
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The group evolved into the Trace Research & Development Center, becoming a key player in augmentative and alternative communication (AAC), assistive technology, and early computer access.
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Along the way, the Center helped shape concepts like universal/inclusive design and “electronic curb cuts,” emphasizing that solutions for people with disabilities often improve usability for everyone.
Why kiosks became a focus
By the late 1990s, self-service devices—ATMs, ticket machines, government service kiosks, voting systems—were becoming critical access points for everyday services, but they were largely designed for sighted, hearing, and able-bodied users. For people with disabilities, these devices could be effectively locked doors: no staff in sight, timeouts on screens, and no way to override poor physical placement or confusing interfaces.
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Trace recognized that as services moved from staffed counters to unattended machines, accessibility failures would directly block civic participation, travel, banking, and healthcare.
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The Center’s earlier work on consumer electronics and web guidelines gave it a foundation for translating accessibility principles into the more constrained, time-limited context of kiosks and ITMs.
The birth of EZ Access
EZ Access emerged around 1999 as a coherent interaction model for making a variety of public information and transaction machines usable by people with different sensory, physical, and cognitive abilities. Rather than reinventing the interface for each disability, Trace created a small set of consistent mechanisms that could be learned once and then reused across machines and vendors.
Key ideas behind EZ Access included:
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A dedicated set of physical controls (typically a few tactilely distinct buttons) located in a consistent, reachable place across devices.
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Audio output, with private listening via a standard headphone jack and speech that walks users through the screen content and actions.
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A logical “focus” and navigation model that lets users move through on‑screen elements step by step without needing to see or accurately touch the screen.
This model allowed a blind user, for example, to plug in headphones, press a single button to start audio guidance, and then use the same small set of buttons to move through options and confirm selections across different kiosk types.
Practical patterns for kiosk designers
EZ Access turned abstract accessibility goals into practical design patterns that could be applied to real-world kiosks, including:
Consistent control cluster
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Use a small group of tactilely identifiable buttons (e.g., left, right, select, help/cancel) placed in the same relative location on every machine.
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Ensure high contrast, tactile labels, and clear affordances so users can operate them without vision or fine motor control.
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Audio guidance and discoverability
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Provide a standard audio start action (e.g., inserting headphones or pressing a specific button) that consistently initiates spoken instructions.
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Structure audio so it reflects the screen hierarchy, allowing users to step through headings, choices, and confirmations without being overwhelmed by long monologues.
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Focused navigation instead of free pointing
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Instead of requiring accurate touch, let users move focus from one actionable item to the next, with audio feedback on where they are and what will happen if they activate it.
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This benefits users who are blind, have low vision, tremors, or limited range of motion, and it reduces error rates for everyone.Vanderheiden-et-al_20220322-Smaller-a.pdf
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Cross-disability support
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Design the interaction so the same control set helps users who are blind, have low vision, have limited dexterity, or have some cognitive impairments, rather than bolting on a separate mode per disability.
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Provide timeouts and error handling that are forgiving, with simple ways to go back, repeat instructions, or cancel without losing all progress.
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Pilots, voting prototypes, and field experience
Trace’s EZ Access concepts were prototyped and tested in multiple kiosk domains, including public information kiosks, ticketing systems, and voting machines. Cross-disability voting prototypes demonstrated that a single machine could serve voters with a wide range of needs, reducing the need for segregated equipment or separate processes.
These prototypes explored issues like privacy for blind voters, error recovery when using audio navigation, and ways to confirm selections both visually and audibly.
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The work also highlighted infrastructure concerns such as standardizing headphone jacks, ensuring volume control, and dealing with ambient noise in public locations.
Experience across deployments fed back into refined button layouts, improved audio scripting practices, and better strategies for training staff and end users.
Standards, policy, and the broader impact
EZ Access did not live only as a set of prototypes; it contributed to the thinking behind later standards and regulations covering kiosks and ITMs. Trace’s work intersected with U.S. accessibility law (Sections 255 and 508), web standards like WCAG, and emerging guidance on accessible electronic consumer products.
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A core insight was that being “technology agnostic” at the policy level (focusing on outcomes rather than specific devices) allowed models like EZ Access to influence a broad set of platforms.
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Trace also emphasized tools—checklists, guidelines, and test methods—that helped manufacturers and integrators evaluate self-service systems against concrete accessibility requirements.
As a result, many modern kiosks incorporate descendants of EZ Access concepts: dedicated tactile controls, headphone jacks, audio navigation, and focus-based interaction. Even when not branded as EZ Access, the underlying patterns have influenced how major vendors and agencies approach accessible self-service.
Takeaways for today’s self-service teams
For organizations deploying or specifying kiosks and ITMs today, the EZ Access story offers several lessons
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Design once, benefit many: A unified control and navigation model simplifies training, support, and maintenance while helping multiple disability groups.
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Consistency across contexts: Users should be able to learn a handful of interaction patterns and reuse them on ticketing, check‑in, payment, and government kiosks.
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Treat accessibility as core infrastructure: Plan for audio, tactile controls, and focus-based navigation as part of the base design, not as afterthoughts or “special modes.”
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Use standards, but design beyond compliance: Regulations set the floor; EZ Access shows how to turn compliance into a coherent, efficient user experience.
For self-service professionals, EZ Access is less a single product and more a mature design language for accessible kiosks—rooted in decades of research, refined in real deployments, and still highly relevant as new self-service form factors and AI-powered interfaces emerge.
And Accessibility Matters Depot e.g. Home Depot
Accessibility Lawsuits Put Self-Checkout Back in the Spotlight
Large retailers are once again being reminded that self-checkout accessibility is not optional.
The Home Depot recently faced legal action tied to the accessibility of its in-store payment and self-checkout systems. The case alleged that certain payment terminals were not independently usable by blind or visually impaired customers, citing the absence of accessible audio output, tactile controls, or consistent assistance processes—issues that fall squarely under the Americans with Disabilities Act (ADA).
As part of a class-action settlement, Home Depot agreed to ensure that at least one accessible payment terminal is available in each U.S. store, along with software updates and staff training to better support customers with disabilities. While the settlement did not require an admission of wrongdoing, it reinforces a growing legal consensus: if self-service technology replaces staffed checkout, it must be accessible by default.
Separately—but often confused with accessibility claims—Home Depot was also named in a biometric privacy lawsuit related to alleged facial-recognition use at self-checkout. That case was later dismissed and focused on privacy compliance rather than ADA accessibility.
Why this matters:
For retailers, kiosk operators, and POS deployers, these cases underscore a critical takeaway: accessibility gaps in self-checkout are no longer theoretical risks. Courts and regulators increasingly view inaccessible self-service as a barrier to equal access—particularly when alternative staffed options are limited or removed.
For kiosk designers and deployers, accessibility must be treated as a core system requirement, not a retrofit.
What About The Modern AudioNav NavPad
The most common device used today is the Storm Interface AudioNav and NavPad
EZ Access Licensing via Assistra
Assistra licenses EZ Access to organizations and certifies their implementations, but it does not publish a complete licensee list. Public references show certifications or adoption by United Airlines, Amtrak, the U.S. Postal Service, and the Department of Homeland Security, indicating those deployments were licensed/certified through Assistra.
What is publicly documented
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United Airlines: Assistra states United’s newer kiosks incorporated EZ Access and received an EZ Access Certification Inspection, describing Assistra’s role in enhancing functionality and certifying the design. This implies a license plus certification for United’s kiosk deployment. 2017
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Amtrak: Assistra’s site notes EZ Access was specified for Amtrak ticketing kiosks, which would require licensing/certification via Assistra. 2017?
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U.S. Postal Service: Industry coverage describing WARF’s exclusive license to Assistra cites USPS self-service kiosks as existing EZ Access deployments, which would be under Assistra’s licensing umbrella.
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Department of Homeland Security: The same coverage cites DHS border passport kiosks as EZ Access deployments, again implying licensing/certification by Assistra.
How the licensing works
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EZ and EZ Access are registered trademarks owned via WARF; the Trace Center notes it partners with Assistra to license, certify, and commercially support EZ Access, directing interested parties to Assistra for licenses and certifications.
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Assistra’s FAQ and pages say all trademarks and licensing rights for EZ Access have been exclusively assigned to Assistra, and that “to be called EZ Access requires both a tactile keypad and a certified implementation,” reflecting licensing tied to certification.
More Accessibility Impact by Vanheiden
“Rethinking Our Approach to Accessibility in the Era of Rapidly Emerging Technologies” (HCII 2024).
Direct answer: The paper argues current accessibility methods won’t scale for new tech, and proposes a complementary, AI-driven “Info-bot + individualized UI generators” approach to deliver near-ubiquitous access without relying on manufacturers to build accessibility in.
Why change is needed
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Digital access is now essential for healthcare, education, work, and daily life, but only a small share of products and websites are accessible, and progress is slowing.
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Even when guidelines like WCAG are met, many users—especially with cognitive, language, learning disabilities or multiple disabilities—remain excluded; mobile apps and XR present additional barriers.
Limits of today’s approach
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The status quo depends on manufacturers to build accessibility and/or support assistive tech via APIs, which many do not or cannot do well; “closed” products block assistive tech entirely.
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Built-in features typically address some disabilities and require higher technical skill, leaving many users unserved.
Proposed new approach
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Info-bot: An open-source, privacy-preserving AI agent that perceives and operates any standard user interface as a typical user would, requiring no cooperation from manufacturers.
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Individual User Interface Generators (IUIGs): Per-user interface layers that transform the Info-bot’s understanding into a tailored interface suited to each person’s abilities and preferences.
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Together, they aim to provide near-universal compatibility across devices, stable and consistent experiences across brands, adaptability over time, and independence from vendor APIs.
Benefits highlighted
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For users: Consistent interfaces across devices, less learning curve, adaptability for changing needs, and better support for cognitive/neurodiverse users.
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For industry: Reduced burden and litigation risk, a safety net for closed products, and broader market reach without deep in-house accessibility expertise.
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For government/society: Simpler regulatory posture focused on outcomes, fewer lawsuits, and expanded participation by people with disabilities.
Open questions and risks
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Technical feasibility and timeline: Core capabilities exist in part, but full “interface understanding” and IUIG breadth will take time.
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Privacy: Early cloud implementations risk data leakage; local, on-device solutions are needed.
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Equity: IUIG availability and affordability must be ensured to avoid replicating current assistive tech gaps.
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Policy and market disruption: Standards may need outcome-based updates; existing accessibility businesses may resist major shifts.
How to proceed
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Use the Info-bot concept throughout the lifecycle: design reviews, pre-release repairs, browser-level delivery, API population, and a runtime “socket” for IUIGs.
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Pursue an incremental path that augments, not replaces, current accessibility until the new approach is mature, with continued community acceptance and safeguards.
HCII – Rethinking Our Approach to Accessibility in the Era of Rapidly Emerging Technologies
Related Resource
- ADA News – EZ Access® trademark Licensed by Assistra Technologies
- UNITED AIRLINES PURCHASES EZ ACCESS® CERTIFICATION FOR NEW
- Meeting the ADA compliance challenge
Addrendum Home Depot
1. ADA Accessibility Lawsuit (Payment Terminals)
Home Depot reached a class action settlement over claims that its in-store payment terminals (including self-checkout and cash-back functions) were not accessible to blind or visually impaired customers as required under the Americans with Disabilities Act (ADA).
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The lawsuit alleged the terminals lacked audio output and tactile interfaces needed for independent access.
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Home Depot agreed to update or replace software on at least one accessible payment terminal in each U.S. store to provide audio readouts and tactile support, plus manager training to improve accessibility.
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The settlement did not require claim filing; improvements will be made as part of the resolution. Top Class Actions+1
2. Facial Recognition/Biometric Privacy Lawsuit
Separately, Home Depot was sued by a customer in Illinois over alleged unauthorized use of facial recognition technology at self-checkout kiosks:
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The plaintiff claimed Home Depot’s kiosks were scanning and collecting facial geometry without consent, violating the Illinois Biometric Information Privacy Act (BIPA).
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BIPA requires businesses to notify customers and obtain written consent before collecting biometric data — which Home Depot was accused of failing to do.
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That case was voluntarily dismissed by the plaintiff in late 2025, without prejudice, meaning it could potentially be refiled or amended. Bloomberg Law
Key Distinctions
✔ The ADA accessibility issue is real and active, involving accessibility of POS & self-checkout interfaces for individuals with visual impairments. Top Class Actions
✖ The facial recognition lawsuit was about privacy/biometric data, not ADA accessibility per se, and that specific suit has since been dismissed. Bloomberg Law
