Navi Road Trip App روڊ ٽرپ ايپليڪيشن انٽرفيس by Ziqi Liu

Navi Road Trip App روڊ ٽرپ ايپليڪيشن انٽرفيس by Ziqi Liu is a highly esteemed winner of the very prestigious 2025 A' Design Award لوهه انعام in انٽرفيس، تعامل ۽ صارف تجربو ڊيزائن Competition Category.

لوههانٽرفيس· 2025

Navi Road Trip App روڊ ٽرپ ايپليڪيشن انٽرفيس

by Ziqi Liu

Client: Ziqi Liu

A' Design Award لوهه انعام Winner in انٽرفيس Category

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Colors

The Design

About Navi Road Trip App روڊ ٽرپ ايپليڪيشن انٽرفيس

نيوي هڪ موبائل ايپليڪيشن انٽرفيس آهي، جيڪو روڊ ٽرپس جي منصوبابندي ۽ رهنمائي لاءِ ٺاهيو ويو آهي. نيوي مسافر پاران داخل ڪيل سفري تفصيلن ۽ ترجيحن مان هڪ مخصوص سفرنامو (itinerary) تيار ڪري ٿو. هي موبائل ايپليڪيشن هڪ مرڪزي مرڪز (سينٽرل هب) طور ڪم ڪري ٿي ۽ هڪ خودڪار اليڪٽرڪ ڪار ۽ اسمارٽ گوگلز سان همساز (سنڪ) ٿئي ٿي. اسمارٽ گوگلز واڌايل حقيقت (Augmented Reality) نيويگيشن ۽ معلوماتي اوورليز مهيا ڪن ٿا. حقيقي وقت (ريئل ٽائيم) ڊيٽا نيوي کي رستا مطابق ڪرڻ ۽ ويجهو دلچسپ هنڌن بابت خبرداريون موڪلڻ جي قابل بڻائي ٿي. سموريون بڪنگون هڪ ئي جاءِ تي منظم ڪيون وينديون آهن، جنهن سان منصوبابندي جي محنت گهٽجي وڃي ٿي.

The Recognition

About the A' Design Award لوهه انعام

Navi Road Trip App روڊ ٽرپ ايپليڪيشن انٽرفيس A' Design Award لوهه انعام جو کٽيندڙ آهي، معزز اعتراف جيڪو انهن سٺين ڊيزائنن کي ڏنو وڃي ٿو جيڪي چڱيءَ طرح ڊزائين ڪيل تخليقن کان متوقع پيشه ورانه ۽ صنعتي گهرجون پوريون ڪن ٿيون. لوهه جا کٽيندڙ پنهنجي خالقن جي وڏي مهارت، اعليٰ ماهري، ماهرانه سمجھ ۽ تخليقي صلاحيت ڏيکارين ٿا. Navi Road Trip App روڊ ٽرپ ايپليڪيشن انٽرفيس کان اميد ڪئي وڃي ٿي ته اهو هڪ تمام گهڻو قدر ڪيل، ساراهيل ۽ پياري تخليق هوندو جيڪو عملي ۽ جدت وارو آهي. هي ڊيزائن جنهن A' Design Award لوهه انعام کٽيو آهي، صنعت جا بهترين طريقا گڏ ڪري ٿو ۽ علم ۽ صلاحيت سان ڳنڍيل قابل ٽيڪنيڪل خاصيتون رکي ٿو. Navi Road Trip App روڊ ٽرپ ايپليڪيشن انٽرفيس جي سنجيدگيءَ ڪري عزت ڪئي وڃي ٿي ۽ اهو زندگيءَ جي معيار ۾ بهتري آڻڻ لاءِ ٺاهيل آهي جيڪا دنيا کي بهتر جڳهه بڻائڻ ۾ مدد ڪري ٿي.

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.