Lotus Tech Innovation Centre · HUD
UX Innovations
in Electric SUV
Head-Up Displays
Elevating driver experience with intuitive Head-Up Display enhancements — reducing cognitive load, improving safety, and introducing AR navigation for the Lotus Eletre.
01
Problem & Goal
A HUD That
Overwhelmed
Rather Than Aided
Drivers were overwhelmed by cluttered HUD interfaces, leading to distracted driving and a lack of engagement with advanced vehicle features.
PROBLEM
Cluttered, Distracting Interface
Critical data such as speed, navigation directions, and battery status were either hard to read under certain lighting conditions, or presented in a manner requiring too much cognitive effort to interpret while driving — raising concerns about safety and efficiency.
GOAL
Redesign for Visibility, Usability & Relevance
Redesign the Head-Up Display in the Lotus Eletre electric SUV to enhance visibility, usability, and the relevance of information — improving the driving experience and safety at the point of vehicle launch.
02
Highlights of the Solution
Four Pillars of
the Redesign
The solution centred on four interconnected capabilities — each addressing a distinct driver pain point surfaced during research.
Dynamic Information Prioritisation
A dynamic system that prioritises and highlights critical information based on driving context — upcoming turns, low battery alerts, speed limit warnings — surfacing only what matters, when it matters.
Customisable Display Settings
Drivers can customise the information displayed on the HUD, selecting which data points — speed, navigation, battery status, safety alerts — are most relevant to their personal driving style and context.
Proactive Safety Notifications
Safety notifications are displayed based on the criticality and urgency of required action — such as break reminders on long drives — derived from real-time driver behaviour and vehicle data analysis.
Augmented Reality Navigation
AR elements are integrated into the HUD, providing intuitive navigation guidance by overlaying turn-by-turn directions directly onto the driver’s road view — removing the need to glance away.
03
Process
Research to
High-Fidelity
The team began with user research and information gathering, moving to low-fidelity ideation and testing before entering an iterative high-fidelity design and testing feedback loop with the engineering team.
01
Researching the Problem Space
User research and information gathering formed the foundation. The team focused on four key discovery areas to understand HUD challenges: usage frequency, context of use across driving scenarios, usability and interface comprehension, and interaction difficulties during driving.
02
Brainstorming & Initial Ideas
Brainstorming sessions with design and development teams explored a wide range of ideas for improving the HUD. Initial sketches and low-fidelity wireframes were created to visualise potential solutions and layout improvements. Initial concepts were then presented to a small user group for early feedback.
03
Iterative High-Fidelity Design & Testing
Closer to the design evaluation date, the team entered a high-fidelity design and testing feedback loop with the engineering validation and testing teams in both the UK and China. Each iteration refined the interface against AR constraints, design tenets, and real user pain points.
04
Discovery Goals
Four Areas of
Investigation
To understand the challenges and user pain points related to the existing HUD, the research focused on four interconnected areas of driver experience.
Focus 01
Frequency of Use
How often do drivers actively use the HUD while driving? Understanding usage patterns helped define what information needed to be always-visible versus contextual.
Focus 02
Context of Use
In what driving scenarios — city driving, highway, night driving — do drivers find the HUD most and least useful? Context shaped information hierarchy decisions.
Focus 03
Usability & Interface
How easy is it to understand the information displayed? Are there specific HUD elements that are confusing or difficult to interpret at a glance while driving?
Focus 04
Interaction & Control
What difficulties do drivers encounter when accessing or adjusting HUD features while driving? Interaction safety informed the settings and customisation design.
05
Methods Used During Discovery
How We
Gathered Insight
01
User Interviews
Conducted in-depth interviews with 5 current users of the electric SUV to gather qualitative insights on their HUD experiences, pain points, and feature preferences across different driving contexts.
02
Task Analysis
Observed users interacting directly with the HUD to understand how they performed key tasks — speed checking, following navigation, reading battery status — and where difficulties emerged.
03
Competitive Analysis
Analysed HUD implementations across BMW, Mercedes-Benz, Audi, Tesla, and Smart — evaluating display quality, information density, customisation depth, and safety feature maturity.
04
PRD Review
Reviewed the Product Requirements Document in detail — including feature specifications, design constraints, engineering requirements, and AR capability parameters — to align design intent with delivery feasibility.
06
Key Design Challenges
From Pain Points
to Design Problems
The pain points found in research presented themselves as specific, testable design challenges — solved through user testing, design tenets, and AR constraints.
Challenge 01 · Comprehension
Simplifying Information Interpretation
How can the HUD interface be redesigned to present critical information — speed, navigation, battery status — in a way that minimises cognitive load and enhances quick comprehension for drivers at speed?
Challenge 02 · Relevance
Personalisation and Relevance
How can the information presented on the HUD be made more relevant and customisable to individual driver preferences and driving contexts, without creating complexity in the settings experience itself?
Challenge 03 · Safety
Safety and Efficiency
How can the HUD provide information in a manner that simultaneously improves the overall driving experience and the safety and efficiency of electric SUV drivers across diverse road and light conditions?
Challenge 04 · Interaction
Ease of Use
How can interaction with the HUD be streamlined — making it more intuitive and driver-friendly — especially when adjusting settings or accessing different information types without taking focus off the road?
Challenge 05 · Adaptation
Dynamic Information Adaptation
How can the HUD system dynamically adapt its displayed information based on real-time driving conditions and contexts — highway vs. city, day vs. night, normal vs. emergency — to better support the driver’s actual needs in the moment?
07
Solution Design
Designing the
HUD Experience
Four feature areas were developed and iteratively tested, each addressing a distinct cluster of driver needs identified during the research phase.
Feature 01 · Core Display
Dynamic Information
Prioritisation
The primary HUD view surfaces only what is contextually critical — speed, the next navigation instruction, and battery range — presented in a hierarchy that enables a single, rapid glance without cognitive processing.
- Speed displayed in oversized mono numerals for instant legibility
- Navigation arrow and street name isolated in the centre zone
- Battery range and arrival time shown at reduced prominence on the right
- Non-critical data suppressed until contextually relevant
LOTUS ELETRE · HUD · PRIMARY VIEW
Feature 02 · AR Navigation
Augmented Reality
Turn Guidance
AR overlays project turn-by-turn navigation directly onto the driver’s field of view — aligned with the actual road ahead. Lane highlighting and animated directional cues reduce the need to interpret abstract map instructions.
- Turn arrows anchored to real-world road geometry
- Lane-line highlights show the correct lane to occupy
- Distance countdown updates in real time
- Street name confirmation displayed below the directional cue
↰
IN 320 M
TURN LEFT · WALDSTRASSE
87 KM/H
LOTUS ELETRE · AR NAV
RANGE 218 KM
Feature 03 · Proactive Safety
Context-Aware
Safety Notifications
Safety notifications are displayed with a visual urgency tier — warning versus critical — derived from driver behaviour data, drive duration, and vehicle telemetry. Critical alerts auto-dismiss only after driver acknowledgement.
- Two-tier alert system: advisory warning and critical action required
- Break reminders triggered by driving duration and eye-tracking data
- Battery critical alerts with nearest charging station distance
- Alerts fade gracefully once acknowledged, minimising lingering distraction
LOTUS ELETRE · HUD · SAFETY ALERTS
Feature 04 · Personalisation
Customisable
Display Settings
Drivers can configure which data points appear on the HUD through a settings panel accessible during stationary or low-speed states. Preferences persist across sessions and adapt to driver profiles.
- Toggle visibility of individual HUD data layers independently
- Settings accessible via steering-wheel controls or companion app
- Multiple driver profiles supported with separate preferences
- Day and night mode brightness adjusts automatically by ambient light
HUD DISPLAY SETTINGS · CUSTOMISE
Speed Display
Navigation Arrows
Battery Range
AR Lane Guidance
Speed Limit Signs
Ambient Temperature
Music / Media Info
08
Project Impact
Measurable
Results
Post-launch evaluation against key performance indicators demonstrated meaningful improvements across usage, error rates, and driver distraction metrics.
Increased Usage
75%
Of users now actively utilise advanced HUD features — reflecting significantly better awareness and ease of use compared to the previous interface.
Reduction in User Errors
15%
Error rate achieved, indicating enhanced usability and a considerably clearer interface design that reduces misinterpretation of critical driving information.
Driver Distraction Reduction
4 /hr
Distraction events per hour — attributed to improved information presentation, better visual hierarchy, and more intuitive interaction patterns throughout.
09
Project Takeaways
What We
Learned
01 · Collaboration
Cross-Functional Collaboration
Effective collaboration between design, development, and QA teams was essential for successfully implementing and integrating new HUD features. Close teamwork ensured design intentions were accurately translated into the final product.
02 · Balance
Balancing Innovation and Familiarity
Introducing innovative features like AR navigation had to be carefully balanced with maintaining recognisable patterns for drivers. Striking this balance helped users adapt more quickly to the new design without feeling overwhelmed or disoriented.
03 · Localisation
Language & Cultural Sensitivities
Lotus vehicles have a global reach, used across countries with different languages and cultural norms. Designing for international audiences required careful consideration of language localisation and cultural sensitivities — particularly for the UK and Chinese markets.
10
Further Steps
What Comes
Next
Step 01 · Feedback
User Feedback Collection
Continue to gather user feedback through surveys, reviews, and direct user interactions to evaluate the success of the new HUD. Real-world usage data from the Eletre fleet will surface edge cases and priority areas for refinement.
Step 02 · Metrics
Performance Metrics Analysis
Analyse key performance metrics including user satisfaction scores, error rates, task completion times, and feature adoption rates to measure the ongoing impact of the HUD improvements and guide prioritisation.
Step 03 · Iteration
Continuous Improvement
Use insights gained from post-launch evaluation to make continuous improvements and updates to the HUD, ensuring it remains genuinely user-centric and evolves alongside driver needs, new vehicle features, and AR technology advances.