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ACCESSIBILITY UX · BRANE · VFVI

Designing assistive spectacles for blind users

A user-centered accessibility case study for VFVI, where I led research and outcome mapping for smart spectacles connected with a mobile app and cloud processing to help blind users understand text, objects, obstacles, and navigation guidance in real time.

Role: Product / UX Designer Ownership: Research lead and outcome mapping Domain: Accessibility and assistive technology Platforms: Smart spectacles, mobile app, cloud processing Users: Blind and visually impaired users Focus: Text, objects, obstacles, navigation, feedback systems

Problem

Blind users need timely, trustworthy, and understandable feedback while moving through daily life. The challenge was to design an experience where spectacles, mobile app, and cloud intelligence work together without overwhelming the user.

Outcome

The product experience brought together hardware, software, AI processing, accessibility research, and response design. I used outcome mapping and Lean Product thinking to connect user needs with validated, high-impact solution directions.

VFVI assistive spectacles with AI, voice, camera, and battery indicators
VFVI ecosystem

Connecting smart spectacles, mobile app, cloud intelligence, voice feedback, object awareness, and navigation guidance into a trustworthy assistive experience.

01Spectacles capture

The spectacles continuously capture visual feed from the user's environment.

02Mobile receives

The feed is sent to the connected mobile app for handling and communication.

03Cloud processes

The mobile app sends data to the cloud for text, object, obstacle, and navigation processing.

04User gets feedback

The system responds with clear guidance, alerts, and next actions the user can understand quickly.

Research leadership

The most important part of this project was understanding the real users. I led the research and outcome-mapping activities, including multiple interviews and focus-group conversations with blind users to learn how they adopt technology, how they use assistive tools in day-to-day life, and what kind of feedback builds or breaks trust.

  • Explored how users currently navigate, identify objects, read text, and manage uncertainty.
  • Studied how blind users respond to audio instructions, alerts, delays, and system failures.
  • Focused on confidence, cognitive load, safety, and real-time communication rather than only screen usability.
  • Mapped research insights into desired user outcomes, risks, and solution opportunities.

Lean Product Framework

What it is

A lean product framework helped us build the right product by learning early, validating real user needs, and improving the solution through feedback instead of assumptions.

How it works

It is an iterative cycle that moves from understanding the problem to delivering value with less waste.

01Understand

Identify real user problems and needs.

02Define

Frame the right problem to solve.

03Ideate

Generate and prioritize possible solutions.

04Validate

Test assumptions with users early.

05Build and learn

Measure impact and keep improving.

How we applied it for VFVI

01

Understand

We spoke with blind users, caregivers, and experts to understand everyday challenges and needs.

02

Define

We framed the core problem: how might we help blind users move more safely and independently in daily life?

03

Ideate

We explored ideas around navigation, real-time feedback, object awareness, and user confidence.

04

Validate

We tested assumptions through conversations, prototypes, and feedback on what works and what does not.

05

Build and learn

We focused on high-impact features first, then used feedback and analytics to improve responses.

User first

Keeps real user needs at the center of every decision.

Faster learning

Helps avoid building the wrong things.

Focused effort

Uses time and energy where it creates the most value.

Measurable impact

Tracks outcomes and improves through iteration.

This framework helped us stay close to the real problem and build solutions that could make daily movement safer and more confident for blind users.

Text

Read and interpret

Help users understand printed or visible text captured through the spectacles.

Object

Identify surroundings

Recognize useful objects in the environment and communicate them in a helpful way.

Obstacle

Detect risk

Alert users to obstacles and environmental blockers with timely, meaningful feedback.

Navigation

Guide movement

Communicate direction, distance, number of steps, and immediate movement feedback in real time.

Advanced prototyping

For VFVI, prototyping was not only about showing screens. The experience depended on voice-based input, voice-based output, real-time feedback, and system responses. I used advanced prototyping with ProtoPie to test these interactions before development.

Testing and iterating before development helped reduce development effort and improve the team's understanding of product requirements. It allowed us to identify unclear flows, response gaps, and interaction risks earlier, when changes were still faster and cheaper to make.

Why it mattered

The prototype helped stakeholders and developers experience how the product should listen, respond, guide, and recover, instead of only reviewing static screens or clickable flows.

Accessibility design decisions

Feedback had to be immediate and understandable

For blind users, the response is the interface. We had to think carefully about what the system says, when it says it, and how much information is useful in the moment.

Navigation needed real-time conversation

The navigation module could not behave like a static map. It needed to guide users continuously with steps, direction, obstacle awareness, and clear next actions.

Prototype the voice experience, not only screens

We used advanced prototyping with ProtoPie to test voice-based inputs and outputs from the prototype. This helped us evaluate how the product should listen, respond, guide, and recover, instead of only validating clickable screen flows.

Failures needed respectful recovery messages

Because hardware, mobile connection, and cloud processing work together, failures can happen at many points. We designed response messages to help users understand what happened and what to do next.

Analytics informed better responses

User analytics helped reveal where systems were failing, where responses were unclear, and where the experience needed improvement.

01

Lead research

Led interviews and focus groups with blind users to understand technology adoption and daily-life patterns.

02

Map outcomes

Mapped user needs into outcomes, risks, system behavior, response requirements, and solution opportunities.

03

Validate direction

Used Lean Product thinking and ProtoPie prototypes to validate priorities, voice responses, guidance, alerts, and recovery messages.

Outcome

This project gave me deep exposure to accessibility design, assistive technology, research leadership, and outcome mapping. It showed me how different the design mindset becomes when the primary experience is not visual, but communicated through feedback, timing, clarity, and trust.

It also helped me understand the complexity of products where hardware and software continuously work together. The experience had to consider device connection, data flow, cloud processing, response quality, system failures, and user confidence at the same time.

The most enjoyable part was how user-centered the work was. The navigation module especially pushed me to think about real-time communication: how many steps, what direction, when to alert, and how to help the user feel guided rather than controlled.

Key learnings

Accessibility design starts with listening, not assumptions.

Lean Product thinking helps categorize user needs, validate priorities, and focus on solutions with real impact.

For blind users, response timing and clarity are core parts of usability.

Advanced prototypes are valuable when the experience depends on voice input, voice output, and real-time feedback.

Hardware and software products need strong feedback and recovery states.

User analytics can improve not only screens, but the quality of system responses.

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