Mobility and how we interact with our cars is a rapidly changing segment. Cars are slowly turning into computers that do much more than just get us from point A to point B. With this project, I sought to develop out what could be an innovative and unique way of interacting with your vehicle outside of the navigation screen, while catering to the connected driver
Vehicle Interface Prototype
Solo Project
7 weeks
How can we improve the in-car experience through machine learning
Envisioning the future center console of a Porsche Panamera that focuses on adaptive UI that conforms to the user's needs and reacts using machine learning to create a more personal experience
Based off of fingerprints assigned to different drivers, car will automatically adjust it’s settings according to the driver’s preset preferences
Through machine learning, your Porsche will learn and observe your day to day driving habits and recommend navigation based on them
The car observes that user A takes a lunch break around 2pm during weekdays pretty often, so using machine learning when they enter their car the system prompts new lunch spots for user A to try during their lunch break
Using facial recognition software build into the car interior, the computer notices shifts in user B’s expressions indicating he is tired, for it is an early commute for them. The UI presents different coffee shops located on his current route to stop by and drink up
User C is in the midst of a long road-trip across the states. Using the same software as in the previous scenario, it recognizes tired expressions from User C. But instead of recommending coffee shops, it recommends hotels based on data collected from the current route and time
A more intuitive way to interact with your music library, putting album artwork in the forefront, and using easy gestures to control
Your fundamental comfort and car functionality controls are always easily reached with a static bottom tab that never disappears
Displays phone calls when connected to bluetooth, creating an simplified interface utilizing gesture to easily connect and talk
The center console works in collaboration with other interfaces throughout thecabin, allowing for screens that adapt in response to others
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In conjunction with the smart autonomous driving features of the car, the display will prompt users with actions as they become necessary
For this project I went straight to understanding how the current interface works in-order to design for the next generation. Sadly I do not have a Porsche Panamera to my disposal, so I went to the dealership closest to me, played around with the buttons in one, and from there developed what the current state diagram looks like
With full control over this project, and a push from my teacher to be selfish with it, I decided to jump straight into the visual design. I wanted to fine tune how I approached UI layout, organization and aesthetics, so I used this center console re-design as a way to enhance those skills. With that I started wire-framing
After developing a more finalized version of my UI, I printed out each screen and cut them out to user test. I presented each paper screen to the user and asked them how they would approach the task/interact with it. I gained valuable user insight and from there developed my final concept.
Indicate swiping gesture for accepting/declining destinations
Visual cue overlaying screen nodding at swiping gesture
Confusion towards what the notification is for
Addition of an icon relating to type of notification
Swipe down motion from fundamental controls isn’t clear
Use animations to indicate that swiping down exists controls
Show what source music is coming from
Addition of an icon relating to source of music
Confusion over what trackpad is/does
Redesign icon to better illustrate what the trackpad does
Park button doesn’t read, cancel is too close
Redesign park button and move cancel further away from it
Answer/Decline call component doesn’t completely read
Indicate swiping motion through animation cues
Revolutionizing cockpit interactions, the Porsche Adaptive Console Display utilizes machine learning to create unique experiences and interfaces that adapt to the user’s needs and wants.