Race Data AI Telemetría īpan Simulador Momāmalhuianih ītēchcopa Cansu Cetin

Tlanāhuatīlli Race Data AI Telemetría īpan Simulador Momāmalhuianih ītēchcopa Cansu Cetin cē cencā mahuizzō tēmacēhualōni īpan huēyi 2025 Mahuizolli A' Design Award Tepoztli īpan Tlaixnamiquiliztli, Nenonotzaliztli ihuan Tlatequipanoliznemiliztli Tlachihchihualiztli Nēhuilīztli Tlamantli.

TepoztliTlaixnamiquiliztli· 2025

Race Data AI Telemetría īpan Simulador Momāmalhuianih

īpal Cansu Cetin

Tlanāhuatīlli: Driven AVS

Mahuizolli A' Design Award Tepoztli Tēmacēhualōni īpan Tlaixnamiquiliztli Tlamantli

13,338

Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #167411

Xiquitta Tlahcuilōlcalli Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa Race Data AI Telemetría īpan Simulador Momāmalhuianih

Inīn tequitl yancuīc quipātla in simulador momāmalhuiliztli análisis, quichihuani cē tēquitl pīyalli tech-tlapōhualli quinamictia in virtual īhuān nelli momāmalhuiliztli. Quipitzāhua in ohhuiyeh datos īca interactivos ōhtli-mapas, tableros personalizables īhuān lap-comparaciones. Mochīuh īca iterativa retroalimentación ītech simulador momāmalhuianih, in diseño quitēmaca accesibles auh chicāhuaqueh insights para optimizar in desempeño. Quinnāmictia innovación īhuān usabilidad, quiyectilia in momāmalhuianih para cemānahualtic melahuācan īhuān cualli quinmatican īn-momāmalhuil-datos.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Tepoztli

Race Data AI Telemetría īpan Simulador Momāmalhuianih ca in quicuic in Mahuizolli A' Design Award Tepoztli, tlamahuizoliztli tlen momaca in cualli dizayno in quitlalia in tlen monequi ipan tequitl ihuan tlachihualiztli in quimaca in cualli tlachihualli. In quicuicah Tepoztli quinextia in hueyi tlamatiliztli, toltecayotl ihuan ihuelitiliztli intlachihuanime. Ca quinequi in Race Data AI Telemetría īpan Simulador Momāmalhuianih ca tlazohtli, mahuiztic, yancuic ihuan motequiuhtia. Ni dizayno in quicuic Tepoztli quihuelitia in tlamatiliztli ihuan quipia chicahualiztli tlen tepoztli. Race Data AI Telemetría īpan Simulador Momāmalhuianih quicualtia in nemiliztli ihuan quihuelitia in cemanahuac ica cualli.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Huēyiliztli īhuān Tlacualtepēhualli: 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.
Tōcāitl: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Tlachīhualiztli Māchiyōtl: 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.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Tēquitl Ōhuitl: 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.