Race Data AI Telemetry For Simracers by Cansu Cetin |
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| DESIGN DETAILS | |||||
| DESIGN NAME: Race Data AI PRIMARY FUNCTION: Telemetry For Simracers INSPIRATION: 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. UNIQUE PROPERTIES / PROJECT DESCRIPTION: 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. OPERATION / FLOW / INTERACTION: 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. PROJECT DURATION AND LOCATION: The project started in May 2024 in Turkey and finished in December 2024 in Canada. FITS BEST INTO CATEGORY: Interface, Interaction and User Experience Design |
PRODUCTION / REALIZATION TECHNOLOGY: 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. SPECIFICATIONS / TECHNICAL PROPERTIES: 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. TAGS: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design, RESEARCH ABSTRACT: 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. CHALLENGE: 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. ADDED DATE: 2025-01-21 11:11:28 TEAM MEMBERS (1) : IMAGE CREDITS: Cansu Cetin, 2024. |
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| Visit the following page to learn more: https://racedata.ai/ | |||||
| CLIENT/STUDIO/BRAND DETAILS | |
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NAME: Driven AVS PROFILE: Driven Advanced Vehicle Solutions, abbreviated as Driven AVS, was founded with a singular vision: to transform the automotive and motorsports industries through cutting-edge data analysis. Our mission is to develop innovative technologies that optimize the performance of drivers and racers, creating a transformative impact on the industry. |
| AWARD DETAILS | |
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Race Data Ai Telemetry For Simracers by Cansu Cetin is Winner in Interface, Interaction and User Experience Design Category, 2024 - 2025.· Read the interview with designer Cansu Cetin for design Race Data AI here.· Press Members: Login or Register to request an exclusive interview with Cansu Cetin. · Click here to register inorder to view the profile and other works by Cansu Cetin. |
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