Race Data AI Telemetrija simreicējiem — Cansu Cetin

Darbs Race Data AI Telemetrija simreicējiem, kura autors ir Cansu Cetin, ir augsti novērtēts un ļoti prestižās 2025 Dzelzs balva A' Design Award ieguvējs kategorijā Saskarnes, mijiedarbības un lietotāja pieredzes dizains.

DzelzsSaskarne· 2025

Race Data AI Telemetrija simreicējiem

Autors: Cansu Cetin

Klients: Driven AVS

Dzelzs balva A' Design Award ieguvējs kategorijā Saskarne

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Dizains

Par Race Data AI Telemetrija simreicējiem

Šis projekts pārdefinē simulēto sacīkšu analīzi, izveidojot lietotājam draudzīgu telemetrijas rīku, kas savieno virtuālās un reālās sacīkstes. Tas vienkāršo sarežģītus datus ar interaktīvām trases kartēm, pielāgojamām informācijas panelēm un apļu salīdzinājumiem. Izstrādāts, izmantojot atkārtotu atgriezenisko saiti no simreicējiem, dizains piedāvā pieejamus, taču detalizētus ieskatus snieguma optimizācijai. Apvienojot inovāciju un lietojamību, tas sniedz braucējiem iespēju nepārtraukti uzlaboties un labāk izprast savus sacīkšu datus.

Atzinība

Par Dzelzs balva A' Design Award

Race Data AI Telemetrija simreicējiem ir Dzelzs balvas A' Design Award ieguvējs, prestiža atzinība, ko piešķir labiem dizainiem, kas atbilst profesionālajām un rūpnieciskajām prasībām, kādas sagaidāmas no labi izstrādātiem darbiem. Dzelzs ieguvēji parāda to radītāju lielo prasmi, augsto specializāciju, ekspertu izpratni un radošo spēju. Sagaidāms, ka Race Data AI Telemetrija simreicējiem būs augsti vērtēts, apbrīnots un cienīts darbs, praktisks un inovatīvs. Šis ar Dzelzs balvu apbalvotais dizains integrē nozares labāko praksi un tam ir kompetentas tehniskās īpašības, kas saistītas ar zinātību un talantu. Race Data AI Telemetrija simreicējiem tiek cienīts par rūpību un ir izstrādāts, lai uzlabotu dzīves kvalitāti un palīdzētu padarīt pasauli labāku.

Aiz dizaina

Preses materiāli

Dizainera sniegtie autori, komandas dalībnieki un tehniskie dati.

Unikālās īpašības: 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.
Izmēri un iepakojums: 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.
Birkas: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Ražošanas tehnoloģija: 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.
Dizaina izaicinājums: 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.
Pētījums: 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.
Iedvesma: 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.
Projekta ilgums: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Darbības plūsma: 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.