Navi Road Trip App Roadtrip-applikationsgrænseflade by Ziqi Liu

Navi Road Trip App Roadtrip-applikationsgrænseflade by Ziqi Liu is a highly esteemed winner of the very prestigious 2025 A' Design Award i Jern in Grænseflade-, Interaktions- og Brugeroplevelsesdesign Competition Category.

JernGrænseflade· 2025

Navi Road Trip App Roadtrip-applikationsgrænseflade

by Ziqi Liu

Client: Ziqi Liu

A' Design Award i Jern Winner in Grænseflade Category

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The Design

About Navi Road Trip App Roadtrip-applikationsgrænseflade

Navi er en mobilapplikationsgrænseflade designet til planlægning og guidning af roadtrips. Navi opretter et tilpasset rejseprogram ud fra de rejsedetaljer og præferencer, som den rejsende indtaster. Mobilapplikationen fungerer som et centralt knudepunkt og synkroniserer med en autonom elbil og smarte briller. De smarte briller giver augmented reality-navigation og informationslag. Realtidsdata gør det muligt for Navi at tilpasse ruter og sende advarsler om interessante steder i nærheden. Alle bookinger administreres ét sted for at reducere planlægningsindsatsen.

The Recognition

About the A' Design Award i Jern

Navi Road Trip App Roadtrip-applikationsgrænseflade er vinder af A' Design Award i Jern, en prestigefyldt anerkendelse, der tildeles gode designs, som opfylder de professionelle og industrielle krav, man forventer af veldesignede skabelser. Jernvinderne viser stor dygtighed, høj specialisering, ekspertforståelse og kreativ kapacitet hos deres skabere. Navi Road Trip App Roadtrip-applikationsgrænseflade forventes at være en højt estimeret, beundret og kær skabelse, der er praktisk og innovativ. Dette design, der har vundet A' Design Award i Jern, integrerer branchens bedste praksis og har kompetente tekniske egenskaber knyttet til knowhow og talent. Navi Road Trip App Roadtrip-applikationsgrænseflade respekteres for sin grundighed og er designet til at levere forbedringer af livskvaliteten, der er med til at gøre verden til et bedre sted.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Navi is an AI-driven system enhancing road trips with autonomous electric vehicles and augmented reality. It offers seamless itinerary customization, real-time adaptability, and spontaneous exploration alerts. Unique features include machine learning for continuous refinement, centralized booking management, and immersive AR guides, ensuring a personalized, efficient, and engaging travel experience. Navi revolutionizes and simplifies road travel for everyone.
Dimensions & Packaging: Navi's interface is designed to be highly responsive, with key technical specifications including AI-driven itinerary customization and real-time data integration. The mobile app acts as a central hub, synchronizing with an autonomous car and smart goggles. The smart goggles provide AR navigation and information overlays. The system supports various screen resolutions to ensure compatibility across different devices. The project leverages cloud computing for data processing and storage, ensuring seamless and efficient performance.
Tags: Travel planning, Autonomous vehicles, AR, AI-driven, Smart goggles, Road trips, Itinerary customization, Mobile app
Production Technology: The interface design of Navi was realized using user-centered design principles, involving wireframing and prototyping with Sketch and Figma. Iterative testing ensured optimal usability. The app employs AI for itinerary customization, real-time data integration, and AR for navigation. Responsive layouts support various devices. Agile methodologies facilitated development. Cloud computing handles data processing and storage. Keywords: User-centered design, Wireframing, Prototyping, Iterative testing, Sketch, Figma, Responsive layouts, Agile methodologies, AI integration, Real-time data.
Design Challenge: The hardest part of designing NAVI was predicting future technology trends and integrating them into a cohesive system. The challenge involved understanding the potential of AI and autonomous vehicles while considering user preferences. Interviews with experts revealed technological limitations and possibilities. Historical research highlighted how travel planning evolved, guiding the design. Socially, ensuring user acceptance of autonomous tech was crucial. Overcoming these obstacles required balancing innovation with practicality.
Research: The research for NAVI involved qualitative and historical methods to explore emerging technologies for future travel. Objectives included understanding AI, AR, and autonomous vehicles. Data was collected through expert interviews and user feedback. Historical research traced travel planning evolution. Insights revealed key advancements and pain points, guiding NAVI's design to offer seamless, adaptive, and enjoyable road trips. NAVI aims to transform travel by integrating cutting-edge technologies and real-time adaptability.
Inspiration: The inspiration for Navi stemmed from the desire to enhance road travel by reducing planning stress and maximizing enjoyment. Observing the trend of AI, autonomous vehicles, and augmented reality transforming industries, I envisioned a system that integrates these technologies to personalize and streamline travel experiences. Extensive research into user preferences and technological advancements guided Navi's development, ensuring it meets the needs of modern travelers.
Project Duration: The Navi project started in January and finished in March 2024 in Los Angeles.
Operation Flow: Navi is simple to use: input your travel details and preferences, and it creates a custom itinerary. The autonomous car drives you while smart goggles provide augmented reality guides and alerts about interesting spots nearby. Navi adapts to changes with real-time updates and alternative routes. It manages all bookings in one place, making your trip stress-free. Using AI and real-time data, Navi ensures a smooth, enjoyable, and personalized road trip experience, outperforming traditional planners.