REFLECTION

Challenges

Hinges on the capabilities of AI

Finding balance between instruction and information simplification

Safety concerns

Next Steps

Apply the application to other devices

Adapting development with user testing and voice assistance

To enhance family and caregiver features

This project taught me the importance of inclusive design and how technology can empower underserved communities. Moving forward, I will continue to prioritize accessibility and user-centered research in my design process, ensuring that solutions are not just innovative, but truly beneficial for all users regardless of their technical expertise or background.

FINAL PROTOTYPE & KEY FEATURES

After incorporating feedback and accessibility insights, we developed a voice-first interface that prioritizes simplicity and independence for older adults. The final design features a calming color palette, reduced text complexity, and prominent voice assistance.

Final Prototype Screens

Key Features

Key Feature 1
Key Feature 2
Key Feature 3
Key Feature 4

ITERATION

In the early stages of prototyping, we initially anticipated a redesign of Lyft to create a voice assistance that would be easier to use for older adults navigating through ride sharing, hence why we used the pink coloring and similar design. However, we later learned through interview feedback as well as feedback from professors/classmates that the interface felt too similar to the design that already exists and it didn't feel like a change was made for the target audience and there was too much text to be less confusing.

Early Prototype Iteration

Key Changes for Final Prototype

Color changing to a more soothing color to the eye

Making it less text heavy for better accessibility

Making voice assistance more prominent with clearer imagery that could be easily conveyed

PERSONAS

We developed user personas to understand our target audience based on the 6 participants we interviewed who were between the ages of 65-80 years old and were immigrants with limited English proficiency. These personas helped us identify key pain points, motivations, and technology usage patterns to inform our design decisions.

User Personas

KEY RESEARCH INSIGHTS

01

Older adults prefer simple interfaces

02

Proactive reminders and verbal prompts help ease into technology

03

Older adults are concerned about their safety while using digital applications

04

Easy access to transportation promotes independence, reducing constant reliance on family/caregivers

PROBLEM STATEMENT

How might older adults with language barriers and limited tech experience use voice assistance to request ride share services so they can maintain their independence?

SOLUTION APPROACH

A voice-first interface that prioritizes accessibility, multilingual support, and simplified interactions to restore independence and confidence in transportation choices.

TYPE
App Design
TIMELINE
Winter Quarter 2025, 10 weeks
TOOLS
Figma + InDesign
ROLE
Product Designer, Researcher
TEAM
Madison McLean, Theo Tzankinov, Oliver Chen

CONTEXT

Understanding the barriers older adults face with modern technology

3/4

older adults find learning new tech challenging

2/5

older adults rely on caregivers for support

Older adults face vision impairments, cognitive challenges, and language barriers, making it difficult to navigate complex digital tools.

UpLyft

UI/UX, RESEARCH, PROTOTYPING

SUMMARY

A comprehensive design project for INFO360 focused on designing a voice-assisted ridesharing solution for older adults facing language barriers and limited tech experience. Created an inclusive interface that prioritizes independence through multilingual voice commands and simplified user flows.

UpLyft, 2024

A voice-assisted ridesharing solution for older adults facing language barriers and limited tech experience.