Mae Race Data AI Telemetreg i Raswyr Rhithwir gan Cansu Cetin yn enillydd uchel ei barch o'r 2025 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Rhyngwyneb.
HaearnRhyngwyneb· 2025
Race Data AI Telemetreg i Raswyr Rhithwir
gan Cansu Cetin
Cleient: Driven AVS
Enillydd Gwobr Haearn A' Design Award yn y Categori Rhyngwyneb
Enillydd Gwobr Wedi'i Wirio
Gwirio Statws Gwobr ar gyfer #167411Y Dyluniad
Am Race Data AI Telemetreg i Raswyr Rhithwir
Mae'r prosiect hwn yn ailddiffinio dadansoddiad rasio rhithwir trwy greu offeryn telemetreg hawdd ei ddefnyddio sy'n pontio rhwng rasio rhithwir a rasio byd-go-iawn. Mae'n symleiddio data cymhleth gyda mapiau trac rhyngweithiol, dangoslenni y gellir eu haddasu, a chymhariaethau lapiau. Wedi'i ddatblygu gydag adborth iterus gan raswyr rhithwir, mae'r dyluniad yn cynnig mewnwelediadau hygyrch ond manwl i optimeiddio perfformiad. Gan gyfuno arloesedd a defnyddioldeb, mae'n grymuso raswyr i wella'n barhaus ac i ddeall eu data rasio yn well.
Y Gydnabyddiaeth
Am y Gwobr Haearn A' Design Award
Mae Race Data AI Telemetreg i Raswyr Rhithwir yn enillydd Gwobr Haearn A' Design Award, cydnabyddiaeth fawreddog a roddir i ddyluniadau da sydd yn bodloni'r gofynion proffesiynol a diwydiannol a ddisgwylir gan greadigaethau wedi'u dylunio'n dda. Mae enillwyr Haearn yn dangos medrusrwydd mawr, arbenigedd uchel, dealltwriaeth arbenigol a gallu creadigol eu crewyr. Disgwylir i Race Data AI Telemetreg i Raswyr Rhithwir fod yn greadigaeth uchel ei bri, a edmygir ac a anwylir, sydd yn ymarferol ac yn arloesol. Mae'r dyluniad buddugol hwn o Wobr Haearn A' Design Award yn integreiddio arferion gorau'r diwydiant ac mae ganddo nodweddion technegol cymwys wedi'u cysylltu â gwybodaeth ymarferol a dawn. Parchir Race Data AI Telemetreg i Raswyr Rhithwir am ei drylwyredd ac fe'i dyluniwyd i ddarparu gwelliannau ansawdd bywyd sydd yn helpu i wneud y byd yn lle gwell.
Y Tu Ôl i'r Dyluniad
Pecyn i'r Wasg
Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.
- Priodweddau Unigryw
- 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.
- Dimensiynau a Phecynnu
- 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.
- Tagiau
- Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
- Technoleg Cynhyrchu
- 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.
- Her Dylunio
- 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.
- Ymchwil
- 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.
- Ysbrydoliaeth
- 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.
- Hyd y Prosiect
- The project started in May 2024 in Turkey and finished in December 2024 in Canada.
- Llif Gweithrediad
- 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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