Dizayn Race Data AI Telemétri Pou Simkourè pa Cansu Cetin se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2025 A' Design Award Fè nan Kategori Konpetisyon Entèfas.
FèEntèfas· 2025
Race Data AI Telemétri Pou Simkourè
pa Cansu Cetin
Kliyan: Driven AVS
Gayan A' Design Award Fè nan Kategori Entèfas
Gayan Pri Verifye
Verifye Estati Pri pou #167411Konsepsyon an
Konsènan Race Data AI Telemétri Pou Simkourè
Pwojè sa a redefini analiz kous sikilasyon viryèl la lè l kreye yon zouti telemétri ki fasil pou itilize epi ki konekte kous viryèl la ak kous reyèl la. Li senplifye done konplèks yo avèk kat pis entèraktif, tablo bò pèsonalizab, ak konparezon tou. Devlope avèk kòmantè repete ki soti nan men simkourè yo, desizn nan ofri enfòmasyon ki aksesib men detaye pou optimize pèfòmans. Lè l konbine inovasyon ak fasilite itilizasyon, li bay kourè yo pouvwa pou yo kontinye amelyore yo epi konprann pi byen done kous yo.
Rekonesans lan
Konsènan A' Design Award Fè
Race Data AI Telemétri Pou Simkourè se yon ganyan A' Design Award Fè, yon rekonesans ki gen prestij yo bay bon design ki satisfè egzijans pwofesyonèl ak endistriyèl yo atann de kreyasyon ki byen fèt. Ganyan Fè yo montre gwo konpetans, espesyalizasyon wo, konpreyansyon ekspè ak kapasite kreyatif kreyatè yo. Yo atann Race Data AI Telemétri Pou Simkourè pou se yon kreyasyon anpil moun estime, admire e renmen ki pratik e inovatè. Design sa a ki ganyen A' Design Award Fè entegre pi bon pratik sektè a e li gen karakteristik teknik konpetan ki lye ak konnesans pratik ak talan. Yo respekte Race Data AI Telemétri Pou Simkourè pou jèntan li e li fèt pou bay amelyorasyon kalite lavi ki ede fè mond lan vin yon pi bon kote.
Dèyè Konsepsyon an
Dosye Laprès
Kredi, manm ekip ak detay teknik konseptè a bay.
- Pwopriyete Inik
- This design transforms sim racing analysis with intuitive data visualization and advanced telemetry tools, providing racers with actionable insights. Its user-focused approach ensures accessibility while maintaining technical depth, featuring interactive track maps, customizable dashboards, and seamless lap comparisons. Personalized analysis tools and community-driven feedback make it a standout solution for improving performance and bridging the gap between virtual and real racing.
- Dimansyon & Anbalaj
- The design was developed with a focus on responsiveness, ensuring compatibility across various screen sizes. The layout adapts seamlessly from 1024x768px to 1792x1024px for larger displays. Interactive elements were optimized for touch and mouse input, with clickable areas sized for ease of use across devices. Data visualization tools were engineered for high performance, processing telemetry data in real-time with minimal latency, ensuring smooth user experience even with large datasets.
- Etikèt
- Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
- Teknoloji Pwodiksyon
- The design was developed using an iterative UX/UI process, emphasizing user feedback from sim racers. Wireframes and prototypes were created to test and refine key functionalities, such as telemetry data visualization and lap comparisons. Agile methodology was employed to allow for continuous improvement based on user testing. A modular design approach ensured flexibility, while data-driven insights guided the creation of interactive features that prioritize performance optimization and ease of use.
- Defi Dizayn
- The hardest part of this design was simplifying complex telemetry data without losing essential details. The challenge lay in balancing technical depth with user accessibility, as racers needed both detailed insights and easy navigation. Historical perspectives of traditional racing tools influenced the design, but new technology offered opportunities to innovate. External factors, such as varying levels of user expertise and limited research on specific racing behaviors, also presented obstacles, requiring extensive user feedback to refine the product.
- Rechèch
- The research combined qualitative and user-centered studies to understand sim racers' needs and behaviors. The goal was to simplify telemetry data presentation to enhance performance. Insights were gathered through interviews, surveys, and online community observations, involving both casual and competitive sim racers. Results revealed a preference for simplified, interactive interfaces, informing a design that improves performance and user experience in virtual and real-world racing.
- Enspirasyon
- The project was inspired by the challenges sim racers face in translating virtual performance to real-world racing. Recognizing the complexity of existing telemetry tools, the goal was to simplify data analysis while enhancing usability. Drawing from user interviews, market research, and technical studies, the design combines intuitive features with a user-centered approach to help racers optimize performance and make the most of limited practice time.
- Dire Pwojè
- The project started in May 2024 in Turkey and finished in December 2024 in Canada.
- Fliks Operasyon
- This design helps sim racers improve their performance by providing easy-to-understand data about their racing. Users can view their racing line, speed, and other key information to see where they can improve. By comparing laps, racers can find areas to optimize, such as braking and acceleration points. The design allows for simple interactions like clicking on turns to get more detailed feedback, making it easier to focus on key areas for improvement and achieve better results over time.
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