Race Data AI Teiliméadracht do Rásaithe Ríomhaireachta le Cansu Cetin

Is buaiteoir an-mheasúil den ghradam fíor-ardghradamach 2025 Duais Iarainn A' Design Award sa Chatagóir Comórtais Dearadh Comhéadain é an dearadh Race Data AI Teiliméadracht do Rásaithe Ríomhaireachta le Cansu Cetin.

IarannComhéadan· 2025

Race Data AI Teiliméadracht do Rásaithe Ríomhaireachta

le Cansu Cetin

Cliant: Driven AVS

Buaiteoir an ghradaim Duais Iarainn A' Design Award sa Chatagóir Comhéadan

12,994

Buaiteoir Gradaim Fíoraithe

Fíoraigh Stádas Gradaim do #167411

Tabhair Cuairt ar an Suíomh Féach ag A' Design Award Preasráiteas Suaitheantas Gradaim

Dathanna

An Dearadh

Maidir le Race Data AI Teiliméadracht do Rásaithe Ríomhaireachta

Athshaineann an tionscadal seo anailís rásaíochta ríomhaireachta trí uirlis teiliméadrachta éasca le húsáid a chruthú a nascann rásaíocht fhíorúil agus fíorshaol. Simpliú a dhéanann sé ar shonraí casta le léarscáileanna traic idirghníomhacha, painéil stuaire ináirithe, agus comparáidí cuair. Forbraíodh é le haiseolas athródach ó rásaithe ríomhaireachta, agus cuireann an dearadh léargais inrochtana ach mionsonraithe ar fáil chun feidhmíocht a bharrfheabhsú. Trí nuálaíocht agus inúsáidteacht a chur le chéile, cumasaíonn sé rásaithe feabhsú leanúnach agus tuiscint níos fearr a fháil ar a sonraí rásaíochta.

An Aitheantas

Maidir leis an Duais Iarainn A' Design Award

Bhuaigh an dearadh Race Data AI Teiliméadracht do Rásaithe Ríomhaireachta Duais Iarainn A' Design Award, aitheantas gradamach a bhronntar ar dhea-dhearaí a chomhlíonann na riachtanais ghairmiúla agus thionsclaíocha a bhíonn á n-éileamh ó chruthuithe a ndearnadh go maith iad. Léiríonn buaiteoirí Iarainn scil mhór, speisialtóireacht ard, tuiscint saineolaí agus cumas cruthaitheach a gcruthaitheoirí. Táthar ag súil go mbeidh an dearadh Race Data AI Teiliméadracht do Rásaithe Ríomhaireachta ina chruthú a bhfuil an-mheas air, a n-ardaítear agus a ghráitear atá praiticiúil agus nuálach. Comhtháthaíonn an dearadh seo a bhuaigh Duais Iarainn A' Design Award na cleachtais is fearr sa tionscal agus tá saintréithe teicniúla inniúla aige nasctha le heolas agus le tallann. Tá meas ar an dearadh Race Data AI Teiliméadracht do Rásaithe Ríomhaireachta as a dhúthracht agus dearadh é chun feabhsuithe cáilíochta beatha a sholáthar a chabhraíonn leis an domhan a dhéanamh ina áit níos fearr.

Taobh Thiar den Dearadh

Pacáiste Preasa

Creidiúintí, baill foirne agus sonraí teicniúla curtha ar fáil ag an dearthóir.

Airíonna Uathúla: 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.
Toisí & Pacáistiú: 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.
Clibeanna: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Teicneolaíocht Táirgthe: 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.
Dúshlán Deartha: 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.
Taighde: 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.
Inspioráid: 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.
Fad an Tionscadail: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Sreabhadh Oibríochta: 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.