Race Data AI د سم ريسرانو لپاره ټيليميټري د Cansu Cetin لخوا

Race Data AI د سم ريسرانو لپاره ټيليميټري د Cansu Cetin لخوا د خورا باوقاره 2025 د اوسپنې A' Design Award جایزه په د انټرفیس، تعامل او د کارونکي تجربې ډیزاین سیالۍ کټګوري کې یو ډیر ارزښتمن ګټونکی دی.

اوسپنهانټرفیس· 2025

Race Data AI د سم ريسرانو لپاره ټيليميټري

د Cansu Cetin لخوا

پیرودونکی: Driven AVS

په انټرفیس کټګوري کې د د اوسپنې A' Design Award جایزه ګټونکی

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سایټ وګورئ په A' Design Award کې وګورئ خبري خپرونه د جایزې بېج

رنګونه

ډیزاین

د Race Data AI د سم ريسرانو لپاره ټيليميټري په اړه

دا پروژه د شبيه سازي ريسنګ تحليل بيا تعريفوي د کارن دوستانه ټيليميټري وسيلې له جوړولو سره چې مجازي او حقيقي نړۍ ريسنګ سره نښلوي. دا پېچلي معلومات د متقابل عمل لرونکي ټريک نقشو، د خپلولو وړ ډيشبورډونو، او د دورو پرتلنو سره ساده کوي. د سم ريسرانو څخه د تکراري فيډبيک سره جوړ شوی، ډيزاين د فعاليت غوره کولو لپاره د لاسرسي وړ خو تفصيلي بصيرتونه وړاندې کوي. نوښت او کارولو وړتيا يو ځای کولو سره، دا ريسرانو ته توان ورکوي چې په دوامداره توګه وده وکړي او د خپل ريسنګ معلومات ښه درک ولري.

پیژندنه

د د اوسپنې A' Design Award جایزه په اړه

Race Data AI د سم ريسرانو لپاره ټيليميټري د اوسپنې A' Design Award جایزې ګټونکی دی، یوه ویاړلې پېژندنه چې ښو ډیزاینونو ته ورکول کېږي چې هغه مسلکي او صنعتي اړتیاوې پوره کوي چې له ښه ډیزاین شویو جوړښتونو څخه تمه کېږي. د اوسپنې ګټونکي د خپلو جوړوونکو لویه مهارت، لوړه تخصص، کارپوهانه پوهه او خلاقي وړتیا ښيي. له Race Data AI د سم ريسرانو لپاره ټيليميټري څخه تمه کېږي چې یو ډېر ارزښتناک، ستایل شوی او ګران جوړښت وي چې عملي او نوښتګر دی. دا د اوسپنې A' Design Award جایزې ګټونکی ډیزاین د صنعت غوره کړنلارې یو ځای کوي او وړ تخنیکي ځانګړتیاوې لري چې له پوهې او استعداد سره تړلي دي. Race Data AI د سم ريسرانو لپاره ټيليميټري د خپل دقت له امله درناوی کېږي او د ژوند د کیفیت داسې ښه والی وړاندې کولو لپاره ډیزاین شوی چې نړۍ یو ښه ځای ګرځولو کې مرسته کوي.

د ډیزاین تر شا

خبري کټ

اعتبارونه، د ټیم غړي او تخنیکي توضیحات چې د ډیزاینر لخوا وړاندې شوي.

ځانګړي ځانګړتیاوې: 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.
ابعاد او بسته بندي: 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.
ټاګونه: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
د تولید ټیکنالوژي: 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.
د ډیزاین ننګونه: 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.
څیړنه: 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.
الهام: 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.
د پروژې موده: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
د عملیاتو بهیر: 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.