OVERVIEW

What’s Navi all about?

Navi is an innovative wearable safety companion designed specifically to support night shift workers, combating drowsy driving through unobtrusive drowsiness detections.

Your Co-Pilot for the Commute Home

THE CHALLENGE

Night Shift Workers Need a Solution

Night shift workers face higher risk of drowsy driving accidents

Night shift workers are 40% more likely to experience a near-crash event on their commute home compared to daytime workers

37.8% of night shift workers reported falling asleep while driving at least once in the past year

Existing alert systems are loud & unreliable

We needed to create a subtle, cognitive-friendly wearable and digital experience to help users stay safe without disrupting their post-shift routine

THE GOAL

Subtlety Over Spectacle

We needed to create a non-intrusive, reliable, and emotionally supportive wearable and mobile system to:

22

High

Based on this score, we reccomend finding another ride home for the night.

33

High

Based on this score, we reccomend finding another ride home for the night.

75

High

Based on this score, we reccomend finding another ride home for the night.

Detect drowsiness in real-time

Ensures the users’ focus stays undisrupted

Tapping

Nudging

Swiping

Enhance user trust through discretion

Empower users with personalized Navi experience

Navi

9:41 AM

Don’t forget Navi on your ride home

Provide gentle, personalized alerts

Maintain the user’s peace of mind after their shift

UNDERSTANDING THE USERS

Who’s Navi For?

Our primary user base includes night shift workers across industries like health care, factory work, and emergency responders.

Key Insights

Through primary research methods with our target audience we uncovered 3 key insights that drove our design process and product strategy.

01

Drowsy driving leads to dangerous memory blackouts, even on short commutes.

02

Passive listening doesn’t prevent zoning out. Cognitive engagement is crucial.

03

Conversation helps. Night shift workers already seek out interaction as a fatigue-fighting strategy.

RESEARCH & DISCOVERY

Exploring Research Methods

Due to project scope and timeline, our research phase served to help us discover the problem space and carve a unique selling proposition for navi.

Competitive Analysis

Surveying and analyzing the competitor market

Scientific Literature Review

Discovering and analyzing the problem space

Likes the feel of it on her head

didn’t feel like it was going to fall off; said it felt secure but not tight.

felt like they could throw it on without adjusting anything

Sugested exploring other options for ear cuff

Feels very snug and comfortable. Could see herself wearing for 40 minute drive home 



It slays

Think about possibilities of it being obstructed by hair 

Feels pretty comfortable

Would want case to fit snug in a specific part of the car like middle or front console



Really likes the form very unobtrusive 

Would want to be able to choose between sound/haptics or both

Loves the overall shape of device

1-on-1 User Interview

Receiving insights from our target audience

Key Findings

Our key findings helped define the beginnings of our product strategy and feature prioritization.

Social and cognitive engagement helps fight drowsiness

EEG-based monitoring is promising, but comfort is crucial

Trust, personalization, and quiet support increase long-term use

IDEATION & DESIGN PROCESS

From Concept to Prototype

We worked iteratively through concept sketching→ physical prototyping → digital flows → interactive UI.

Early Wearable Prototyping

During early rapid prototyping we focused on establishing optimal form factors for extended comfort during long drives

Early Prototypes

Initial User Testing

We tested our prototypes and moved forward with the most optimal form factor based on user feedback.

We tested Navi prototypes on 8 people...

Likes the feel of it on her head

didn’t feel like it was going to fall off; said it felt secure but not tight.

felt like they could throw it on without adjusting anything

Sugested exploring other options for ear cuff

Feels very snug and comfortable. Could see herself wearing for 40 minute drive home 



It slays

Think about possibilities of it being obstructed by hair 

Feels pretty comfortable

Would want case to fit snug in a specific part of the car like middle or front console



Really likes the form very unobtrusive 

Would want to be able to choose between sound/haptics or both

Loves the overall shape of device

Users Loved

Overall shape and feel

Unobtrusive form

Could forget that it’s on

Easy to wear

Users Wanted

Control over the feedback

Snug fit case to live in their car

Customizable fit

Alternative fit on the ear

Control over the feedback

Snug fit case to live in their car

Alternative fit on the ear

Mid-Term Model

After exploring user feedback, we began 3D modeling. The result was imperfect but we were on the right track!

Strengths

Lightweight

Good sensor-to-skin contact

Weaknesses

Sensor feels obtrusive

Flimsy

Final Model

Our final model features a lightweight, ergonomic headset with an EEG sensor that prioritizes sensor-to-skin contact and long-term wearability.

Wireless EEG Sensor

Microphone and speaker

Soft Sillicone

Drowsiness Detection

Audio Activities

Physical Wearable

USER TESTING & HI-FI DEVELOPMENT

Bringing Navi to life

Post user testing we went full steam ahead in developing Navi’s physical and digital identity.

Low Fidelity

Defining Navi’s digital experience was our top priority, we began with digital wireframes that represented our core features.

Good Evening, Kenzie!

Feeling Extra Tired?

Quick Focus Exercise

Device Status

Charge

Paired

Paired

Set the vibe for tonights drive

Profile

Voice

Haptics

Tone

Quiet

Charismatic

Volume

Interaction

Quiet

Charismatic

Mostly Passive

Fully Interactive

Voice

Haptics

Level

Type

Quiet

Charismatic

Profile

Your Weekly Library

Games

Trivia

Topics

Mid Fidelity

In our mid fidelity stages we introduced Navi’s brand identity to allow our user testing participants to interact with the design in a way that mimics the experience of the final product.

User Testing Methodologies

As part of our User testing plan, we employed task completion for Navi’s core features, short guided interviews, as well as system usability scaling (SUS).

Task Success Rate

SUS Rating

#

1

Take the drive assessment

Book an Uber x home

Do 1 round of the focus exercise

Connect with a co-pilot

Start and end a call with Casey

Navigate to the activity library

Favorite “Life under the sea”

Find your saved activites

2

3

4

5

6

7

8

Tasks

Success Rate

100%

80%

100%

100%

100%

100%

100%

90%

94%

High Fidelity Development

Our usability testing proved fairly successful, we received actionable feedback that drove our high-fidelity designs.

Navi works to...

Detect

Prevent

Alert and Engage

Prevent

Helps users recognize fatigue before getting behind the wheel with pre-drive check-ins and risk indicators.

Detect

Uses cutting-edge wireless EEG technology to monitor brain activity and detect early signs of drowsiness in real time.

Alert and Engage

Keeps the mind stimulated with light interaction options like audio prompts or focus check-ins during the drive.

PROJECT TAKEAWAYS

Final Notes and Reflection

Reflecting on the Navi experience, I grew significantly as a designer. Here are three important lessons that shaped my approach to design and user experience.

Subtlety in UX - Working on Navi showed me firsthand how powerful subtle, thoughtful UX design can be. I learned that gentle, unobtrusive interactions could significantly boost user safety and comfort.

Designing for Accessibility - This project emphasized the importance of accessibility in my design approach, prioritizing clear visuals, intuitive interactions, and making sure everyone can easily use the product.

Listening, learning, and Improving - Through constant user feedback and multiple design iterations, I discovered the real value of empathy-driven design which reinforced my commitment to user-centered decisions.

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