A contextual car assistant.
This third and final article is a part of the in-car UX exploration series that I have been writing about.
In the first part of this series, I aimed at reimagining the instrument cluster of automobiles by specifically trying to tackle the problem of distraction while driving — my idea was to have nifty controls that helped drivers achieve simple tasks without having to take their hands off the wheel.
With more exploration, research, and talking to people who are rather new to driving, I uncovered some major insights that led me to design for driver anxiety in the second part of the series.
In my third and final part, I aim to conglomerate my concepts from the first part (after iterating based on feedback from multiple drivers), and research and findings from the second part to create a proactive system for automobiles.
What is a proactive system?
This concept of a proactive system is not new but is rather ubiquitous in almost all the apps we use. Google Now (now known as Google Assistant) presents us with quick pieces of relevant and contextual information based on time of the day, location and news. iOS automatically gives you a shortcut to open your music application as you plug a headphone in. I wanted to extend this concept of a proactive system to the automotive sector — driving requires quite a bit of conscious attention and reducing that cognitive load through intelligent systems would definitely benefit drivers.
Below is a short clip which is a proof-of-concept that explains how I envision proactive systems to function —