Project Type
Masters Thesis
Software
Timeframe
40 days
Year
May 2023
Project Overview
Challenge
Click here to my research white board with a collection of HMI research
Analysis
Main interaction touchpoints
New Design
HUD Dashboard
Essential information at driver's line of sight
Stay in control without reaching for other screen
Voice Commands
Spatial Compass
Using Lidar and camera sensors, the system expands the driver's field of vision beyond blind spots
Identify hazards by leveraging speed and proximity
Alert drivers of pedestrians and obstacles while backing up
Intersection Assistant
Prioritizes the urgent alerts based on speed and proximity
Navigate complex intersections confidently and make safer turns
Enhanced Vision
Enhance night visibility with earlier alerts for pedestrians, cars, and hazards
Monitor Distraction
Driver state monitoring sensors embedded on the steering wheel to detect distraction or fatigue
When detects distraction, VISO alerts drivers to re-focus while taking control over the drive
Connect to real-time city data to inform drivers when they approach high-accident zone
Central UI for driver x passenger
Style guide
Iteration + Testing
Due to technical limitation, the prototype was displayed in video format while users sat in the driver seat. Users were asked to talk aloud their thoughts, followed by Q&A.
Future Steps
Distracted driving is a complicated problem. Before fully autonomous vehicles become a reality, reducing human error remains a key challenge.
In the next step, I will continue to stay on top of new technology and HMI research, informing the next refinement. Hope this project could, in some way, contribute to a safer and more intuitive driving experience in our everyday life.