2026 · Toyota Innovation Challenge · 24 Hours

2026 · Toyota Innovation Challenge · 24 Hours

Adaptive

Driver

Alert

System

Adaptive

Driver

Alert

System

Role

UX Research & Design

Timeline

24 Hours

Tools

Cursor, Figma, Vercel, Lovable

Type

Hackathon

Scroll

Role

UX Research

& Design

Timeline

24 Hours

Tools

Cursor, Figma,

Vercel, Lovable

Type

Hackathon

Every 13 minutes, someone dies in a distracted driving

accident in the US. Current safety systems bark

warnings at drivers — creating alert fatigue and

destroying trust. What if a car could communicate like a

co-pilot?

Every 13 minutes, someone dies in a distracted driving

accident in the US. Current safety systems bark

warnings at drivers — creating alert fatigue and

destroying trust. What if a car could communicate like a

co-pilot?

Every 13 minutes, someone dies in a distracted driving

accident in the US. Current safety systems bark

warnings at drivers — creating alert fatigue and

destroying trust. What if a car could communicate like a

co-pilot?

40%

40%

of safety alerts ignored due to

"cry wolf" syndrome

of safety alerts ignored due to

"cry wolf" syndrome

8%

8%

of males are colorblind and

miss color-coded warnings

of males are colorblind and

miss color-coded warnings

40%

40%

faster reaction time with

personalized multi-modal alerts

faster reaction time with

personalized multi-modal alerts

Phase I

Discovery

Discovery

We looked at three data streams that feed into every driver alert decision.

We looked at three data streams that feed into every driver alert decision.

Environmental Data — Road conditions, weather, traffic patterns, and surrounding obstacles.

Environmental Data — Road conditions, weather, traffic patterns, and surrounding obstacles.

Vehicle Data — Speed, lane position, proximity sensors, and vehicle dynamics.

Vehicle Data — Speed, lane position, proximity sensors, and vehicle dynamics.

Driver Psychology — Attention level, stress indicators, reaction patterns, and learned preferences.

Driver Psychology — Attention level, stress indicators, reaction patterns, and learned preferences.

The insight that changed our direction: drivers don't ignore warnings because

they're careless. They ignore them because every warning sounds equally urgent.

A lane drift and an imminent collision feel the same to the car.

The insight that changed our direction: drivers don't ignore warnings because

they're careless. They ignore them because every warning sounds equally urgent.

A lane drift and an imminent collision feel the same to the car.

UX Research

Data Analysis

Competitive Audit

Phase II

Define

Define

How might we design an AI-powered alert system that

escalates naturally — like a driving instructor — adapting to

each driver's needs while preventing alert fatigue?

How might we design an AI-powered alert system that

escalates naturally — like a driving instructor — adapting to

each driver's needs while preventing alert fatigue?

How might we design an AI-powered alert system that

escalates naturally — like a driving instructor — adapting to each driver's needs while preventing alert fatigue?

We defined a 3-layer escalation model. The system skips layers if time-to-

collision is under 2 seconds. Intelligent escalation — not progressive nagging.

We defined a 3-layer escalation model. The system skips layers if time-to-

collision is under 2 seconds. Intelligent escalation — not progressive nagging.

Sarah's Commute — Interactive Demo

Subtle peripheral glow appears on the windshield edge closest to the threat — no focus shift needed. Select a scenario to see where the alert appears.

Select a scenario

If driver corrects: Fade out Layer 1 over 1–2s, return to monitoring.

If Layer 1 ignored (2–3s): Escalate to Layer 2.

If Layer 2 ignored + critical risk: Immediate Layer 3 intervention.

Fast escalation: Skip layers if time-to-collision < 2s.

If driver corrects: Fade out Layer 1 over 1–2s, return to monitoring.

If Layer 1 ignored (2–3s): Escalate to Layer 2.

If Layer 2 ignored + critical risk: Immediate Layer 3 intervention.

Fast escalation: Skip layers if time-to-collision < 2s.

If driver corrects: Fade out Layer 1 over 1–2s, return to monitoring.

If Layer 1 ignored (2–3s): Escalate to Layer 2.

If Layer 2 ignored + critical risk: Immediate Layer 3 intervention.

Fast escalation: Skip layers if time-to-collision < 2s.

Phase III

Ideation

Ideation

Three critical UX innovations I pushed for as the UX designer on the team:

Three critical UX innovations I pushed for as the UX designer on the team:

Three critical UX innovations I pushed for as the UX designer on the team:

CarPlay Integration — Most drivers already trust their phone's interface. Leverage that existing

mental model instead of adding another screen to learn.

CarPlay Integration — Most drivers already trust their phone's interface. Leverage that existing

mental model instead of adding another screen to learn.

Gas Pedal Resistance — Inspired by game controllers, subtle resistance physically communicates

"slow down" without removing driver control.

Gas Pedal Resistance — Inspired by game controllers, subtle resistance physically communicates

"slow down" without removing driver control.

Directional Seat Vibration — Your body knows left from right instinctively. The seat tells you which

way to correct — no eyes off the road required.

Directional Seat Vibration — Your body knows left from right instinctively. The seat tells you which

way to correct — no eyes off the road required.

Steering Haptic
Directional torque pulses through the steering wheel — left vibration for left drift, right for right. The driver's hands feel the correction before their eyes process it.
Triggers at Layer 3 · 5s+ unresponded
Active Zones
WHEELSEATPEDAL

Figure 1.0 — System in Motion

Phase IV

Learning

Learning

What we'd validate next: Does personalization improve or complicate the

experience? What's the optimal escalation timing for different driver profiles? How

do we prevent false positives from eroding trust?

What we'd validate next: Does personalization improve or complicate the

experience? What's the optimal escalation timing for different driver profiles? How

do we prevent false positives from eroding trust?

What judges taught us: technical solutions need emotional anchoring. Innovation

means balancing AI capability with human agency. Accessibility can't be an

afterthought.

What judges taught us: technical solutions need emotional anchoring. Innovation

means balancing AI capability with human agency. Accessibility can't be an

afterthought.

My growth: learned to advocate for physical UX (haptics) in a screen-dominated

industry. Discovered the power of multi-sensory design — when you remove the

visual channel, you have to get creative.

"The best safety system is one the driver never has to

consciously think about."

"The best safety system is one the driver never has to

consciously think about."

UX Research

Interaction Design

Multi-modal Design

Accessibility

What we'd validate next: Does personalization improve or complicate the

experience? What's the optimal escalation timing for different driver profiles? How

do we prevent false positives from eroding trust?

Next Project

IPNO Event

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© 2025 Ali M Kerai — Designed with in San Antonio

© 2025 Ali M Kerai — Designed with in San Antonio

© 2025 Ali M Kerai — Designed with in San Antonio