Race Data AI ເທລີເມທຣີສຳລັບນັກແຂ່ງລົດຈຳລອງ ໂດຍ Cansu Cetin

ຜົນງານ Race Data AI ເທລີເມທຣີສຳລັບນັກແຂ່ງລົດຈຳລອງ ໂດຍ Cansu Cetin ເປັນຜູ້ຊະນະທີ່ໄດ້ຮັບຄວາມນັບຖືສູງຂອງລາງວັນ 2025 A' Design Award ລະດັບເຫຼັກ ອັນຊົງກຽດໃນໝວດການແຂ່ງຂັນ ການອອກແບບສ່ວນຕິດຕໍ່, ການໂຕ້ຕອບ ແລະ ປະສົບການຜູ້ໃຊ້.

ເຫຼັກສ່ວນຕິດຕໍ່· 2025

Race Data AI ເທລີເມທຣີສຳລັບນັກແຂ່ງລົດຈຳລອງ

ໂດຍ Cansu Cetin

ລູກຄ້າ: Driven AVS

ຜູ້ຊະນະ A' Design Award ລະດັບເຫຼັກ ໃນໝວດ ສ່ວນຕິດຕໍ່

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ຜູ້ຊະນະລາງວັນທີ່ຢັ້ງຢືນແລ້ວ

ຢັ້ງຢືນສະຖານະລາງວັນສຳລັບ #167411

ເຂົ້າເບິ່ງເວັບໄຊ ເບິ່ງທີ່ A' Design Award ຂ່າວເຜີຍແຜ່ ເຄື່ອງໝາຍລາງວັນ

ສີ

ການອອກແບບ

ກ່ຽວກັບ Race Data AI ເທລີເມທຣີສຳລັບນັກແຂ່ງລົດຈຳລອງ

ໂຄງການນີ້ໄດ້ກຳນົດການວິເຄາະການແຂ່ງລົດຈຳລອງໃໝ່ ໂດຍການສ້າງເຄື່ອງມືເທລີເມທຣີທີ່ໃຊ້ງານງ່າຍ ເຊິ່ງເຊື່ອມໂຍງການແຂ່ງລົດເສມືອນກັບການແຂ່ງລົດຕົວຈິງ. ມັນເຮັດໃຫ້ຂໍ້ມູນທີ່ສັບສົນງ່າຍຂຶ້ນດ້ວຍແຜນທີ່ສະໜາມແບບໂຕ້ຕອບ, ກະດານຄວບຄຸມທີ່ປັບແຕ່ງໄດ້, ແລະການປຽບທຽບຮອບແຂ່ງ. ພັດທະນາດ້ວຍຄຳຄິດເຫັນຕໍ່ເນື່ອງຈາກນັກແຂ່ງລົດຈຳລອງ, ການອອກແບບໃຫ້ຂໍ້ມູນເຊິ່ງເຂົ້າເຖິງງ່າຍແຕ່ລະອຽດເພື່ອເພີ່ມປະສິດທິພາບ. ການຜະສົມຜະສານນະວັດຕະກຳແລະຄວາມສາມາດໃຊ້ງານ, ມັນຊ່ວຍໃຫ້ນັກແຂ່ງພັດທະນາຢ່າງຕໍ່ເນື່ອງແລະເຂົ້າໃຈຂໍ້ມູນການແຂ່ງຂັນຂອງເຂົາເຈົ້າໄດ້ດີຂຶ້ນ.

ການຮັບຮູ້

ກ່ຽວກັບ A' Design Award ລະດັບເຫຼັກ

Race Data AI ເທລີເມທຣີສຳລັບນັກແຂ່ງລົດຈຳລອງ ແມ່ນຜູ້ຊະນະ A' Design Award ລະດັບເຫຼັກ ເຊິ່ງເປັນການຍອມຮັບທີ່ມີກຽດສຳລັບການອອກແບບທີ່ດີ ທີ່ຕອບສະໜອງຄວາມຕ້ອງການທາງວິຊາຊີບ ແລະ ອຸດສາຫະກຳທີ່ຄາດຫວັງຈາກຜົນງານທີ່ອອກແບບມາຢ່າງດີ. ຜູ້ຊະນະລະດັບເຫຼັກສະແດງເຖິງທັກສະອັນຍິ່ງໃຫຍ່ ຄວາມຊຳນານສະເພາະສູງ ຄວາມເຂົ້າໃຈຂອງຜູ້ຊ່ຽວຊານ ແລະ ຄວາມສາມາດໃນການສ້າງສັນຂອງຜູ້ສ້າງ. Race Data AI ເທລີເມທຣີສຳລັບນັກແຂ່ງລົດຈຳລອງ ຖືກຄາດວ່າຈະເປັນຜົນງານທີ່ໄດ້ຮັບການຍົກຍ້ອງສູງ ໜ້າຊົມເຊີຍ ແລະ ເປັນທີ່ຮັກແພງ ທີ່ໃຊ້ງານໄດ້ຈິງ ແລະ ມີນະວັດຕະກຳ. ການອອກແບບທີ່ຊະນະລະດັບເຫຼັກນີ້ລວມວິທີປະຕິບັດທີ່ດີທີ່ສຸດຂອງອຸດສາຫະກຳ ແລະ ມີຄຸນລັກສະນະທາງເຕັກນິກທີ່ມີຄວາມສາມາດ ເຊື່ອມໂຍງກັບຄວາມຮູ້ ແລະ ພອນສະຫວັນ. Race Data AI ເທລີເມທຣີສຳລັບນັກແຂ່ງລົດຈຳລອງ ໄດ້ຮັບການເຄົາລົບສຳລັບຄວາມລະອຽດຮອບຄອບ ແລະ ຖືກອອກແບບເພື່ອປັບປຸງຄຸນນະພາບຊີວິດ ຊ່ວຍເຮັດໃຫ້ໂລກເປັນບ່ອນທີ່ດີຂຶ້ນ.

ເບື້ອງຫຼັງການອອກແບບ

ຊຸດຂ່າວ

ຂໍ້ມູນ, ສະມາຊິກທີມ ແລະ ລາຍລະອຽດທາງເຕັກນິກທີ່ສະໜອງໂດຍນັກອອກແບບ.

ຄຸນສົມບັດພິເສດ: 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.
ຂະໜາດ ແລະ ບັນຈຸພັນ: 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.
ແທັກ: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
ເຕັກໂນໂລຊີການຜະລິດ: 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.
ສິ່ງທ້າທາຍດ້ານການອອກແບບ: 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.
ການຄົ້ນຄວ້າ: 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.
ແຮງບັນດານໃຈ: 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.
ໄລຍະເວລາໂຄງການ: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
ຂັ້ນຕອນການດຳເນີນງານ: 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.