Team
Myself
Nabhi Shah
Nallely Martinez
Rutuja
My Role
Concept/Idea
UI design and prototyping
Presentation to stakeholders
Duration
4 months
Tools
Eye Tracking
Sora AI
Figma
said Mukesh after testing our final design. This was exactly the feeling we hoped to create 🤍
~1.36 minutes
According to a research study, in-car navigation and infotainment causes major distractions. Even voice-activated features can divert attention for over 40 seconds. Just two seconds of distraction doubles crash risk. We’re constantly glancing away to check directions even for just a second.
80%
Users interviewed by us showed positive response to our HUD
Saving upto $500 per car
highly functional HUD instead of traditional dashboards can lead to massive savings to manufacturers
Desk research
Research Set up and plan
Research. papers and interview script
We interviewed 5 experienced US drivers (3–5+ years) to explore their expectations and behaviors related to Heads-Up Displays. Our approach was rooted in the main problem statement: Convenience and safety while retaining the capacity to perform all primary and some secondary actions on the HUD itself, thus reducing reliance on the dashboard controls.
Affinity mapping was used to analyze interviewee preferences, customize habits, and concerns, focusing on diverse driving contexts and derived the following insights.
1.
Clarity over clutter
People prefer having navigation and speed information upfront. But they do not want to compromise on the minimalism of the HUD interface and express concerns about cluttering.
2.
Varying Priorities
Interviewees had varying preferences regarding what they consider important. For instance, one individual prioritised RPM and wanted it displayed in the HUD, while others did not share this preference.
3.
Fear of distraction
Most found music control and phone alerts distracting, often leaving music handling to co-passengers and minimising its importance while driving.
Positioning
Design for HUD
Adapting to light
Modularity
Multiple design tries were required to finally prototype the scenarios where we anticipate HUDs to make a difference. Our team then invited drivers to the lab to mimic real world scenarios and test if the information is helpful or detrimental.
Driver 1: Talking to us about the placement of elements in the HUD
While testing with our first user, we noticed preliminary issues with the design that once fixed, made a huge difference in the testing process itself.
Audio feedback
It adds great value to include audio indicators. Our first-user was unable to expect navigation cues, turn indicators and incoming cars.
To better mimic real world, we included audio feedback.
Modularity
One of the difficult design decisions was including modularity.
Modularity = personalization. This was a non-negotiable to our user group.
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Our first scenario was to stress-test the HUD design in multilanes and exit situations; one of the most frustrating driver experiences called out by users.
Insights/Outcome
The map needs to tell me information well ahead of time. It should be longer and can describe how many miles to go until I take a turn/exit.
Audio would help, without audio it is difficult to understand what to anticipate next
The user was asked to assess the safety of a lane change using the ADAS data displayed on the HUD, while also anticipating a nearby vehicle approaching closely, as indicated by the same system.
Insights/Outcome
The map needs to tell me information well ahead of time. It should be longer and can describe how many miles to go until I take a turn/exit.
Audio would help, without audio it is difficult to understand what to anticipate next
The user was asked to assess the safety of a lane change using the ADAS data displayed on the HUD, while also anticipating a nearby vehicle approaching closely, as indicated by the same system.
Insights/Outcome
The map needs to tell me information well ahead of time. It should be longer and can describe how many miles to go until I take a turn/exit.
Audio would help, without audio it is difficult to understand what to anticipate next
The user was asked to assess the safety of a lane change using the ADAS data displayed on the HUD, while also anticipating a nearby vehicle approaching closely, as indicated by the same system.
Insights/Outcome
The map needs to tell me information well ahead of time. It should be longer and can describe how many miles to go until I take a turn/exit.
Audio would help, without audio it is difficult to understand what to anticipate next
