Dizayini ya Race Data AI Telemetry Kwa Othamanga Mu Masewero Oyeserera ndi Cansu Cetin ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2025 Mphoto ya Chitsulo ya A' Design Award mu Gawo la Mpikisano la Mapangidwe a Mawonekedwe, Kulumikizana ndi Zokumana ndi Ogwiritsa Ntchito.
ChitsuloMawonekedwe· 2025
Race Data AI Telemetry Kwa Othamanga Mu Masewero Oyeserera
ndi Cansu Cetin
Kasitomala: Driven AVS
Wopambana pa Mphoto ya Chitsulo ya A' Design Award mu Gawo la Mawonekedwe
Wopambana Wotsimikizidwa
Tsimikizani Mkhalidwe wa Mphotho ya #167411Kapangidwe
Za Race Data AI Telemetry Kwa Othamanga Mu Masewero Oyeserera
Polojekiti iyi imasintha momwe amasanthula kuthamanga mu masewero oyeserera popanga chida chosavuta chogwiritsira ntchito cha telemetry chomwe chimalumikiza kuthamanga koyeserera ndi kwa zenizeni. Chimasavutsa deta yovuta pogwiritsa ntchito mapu a njira olumikizana, madashboard osinthika, ndi kufananiza mayendedwe. Chopangidwa ndi mayankho obwerezabwereza ochokera kwa othamanga mu masewero oyeserera, kapangidwe kake kamapereka zidziwitso zopezeka koma zotsatira mwatsatanetsatane kuti akwaniritse magwiridwe antchito. Kuphatikiza luso ndi kugwiritsiridwa ntchito kosavuta, chimapatsa mphamvu othamanga kupitiriza kuwongolera ndikumvetsetsa bwino deta yawo ya kuthamanga.
Chidziwitso
Za Mphoto ya Chitsulo ya A' Design Award
Race Data AI Telemetry Kwa Othamanga Mu Masewero Oyeserera ndi mmodzi mwa opambana a Mphoto ya Chitsulo ya A' Design Award, kuzindikirika kolemekezeka komwe kumaperekedwa kwa mapangidwe abwino omwe amakwaniritsa zofunika za akatswiri ndi za makampani zomwe zimayembekezeka kuchokera ku zolengedwa zopangidwa bwino. Opambana a Chitsulo amaonetsa luso lalikulu, ukatswiri wapamwamba, kumvetsetsa kwa akatswiri ndi mphamvu yolenga ya opanga awo. Race Data AI Telemetry Kwa Othamanga Mu Masewero Oyeserera akuyembekezeka kukhala cholengedwa choyamikiridwa kwambiri, chosirira ndi chokondedwa chomwe ndi chothandiza ndi chatsopano. Mapangidwe opambana Mphoto ya Chitsulo ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a makampani ndipo ali ndi makhalidwe a ukadaulo oyenerera olumikizidwa ndi chidziwitso ndi luso. Race Data AI Telemetry Kwa Othamanga Mu Masewero Oyeserera amalemekezedwa chifukwa cha kusamala kwake ndipo anapangidwa kuti apereke kukonza kwa moyo kumene kumathandiza kusandutsa dziko kukhala malo abwino.
Kumbuyo kwa Kapangidwe
Katundu wa Atolankhani
Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.
- Makhalidwe Apadera
- 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.
- Miyezo ndi Kuphimba
- 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.
- Zizindikiro
- Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
- Teknoloji Yopangira
- 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.
- Vuto la Dizayini
- 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.
- Kafukufuku
- 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.
- Chilimbikitso
- 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.
- Nthawi ya Polojekiti
- The project started in May 2024 in Turkey and finished in December 2024 in Canada.
- Mdondomeko ya Ntchito
- 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.
Zolipidwa
Fufuzani Kupitilira Designers.org
Onani zinthu, ntchito ndi mwayi kuchokera kwa ogulitsa athu aulaliki.
Zina Zofufuza
Mapangidwe Ofanana
Fufuzani mapangidwe ena opambana mphotho ochokera mu gulu lomweli, osankhidwa malinga ndi ukadaulo.
