MG Next Generation ISicelo Sokuncedisa Semoto ngu-Star and Saic Oimt

Uyilo olubizwa ngokuba yi-MG Next Generation ISicelo Sokuncedisa Semoto olwenziwe ngu-Star and Saic Oimt ngumwini obekekileyo webhaso elinobukhazikhazi le-2024 Ibhaso Legolide le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lwe-Inthafeyi, uNxibelelwano kunye naMava oMsebenzisi.

IgolideI-Inthafeyi· 2024

MG Next Generation ISicelo Sokuncedisa Semoto

ngu Star and Saic Oimt

Umxhasi: SAIC Overseas Intelligent Mobility Technology Co., Ltd.

Umwini we-Ibhaso Legolide le-A' Design Award Kudidi Lwe-I-Inthafeyi

51,941

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#159578

Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-MG Next Generation ISicelo Sokuncedisa Semoto

MG Next Generation sisicelo sokuncedisa sabanini beemoto, esenzelwe iifowuni eziphathwayo neewotshi ezikrelekrele. Esi sicelo sidibanisa izicelo ezininzi zengingqi zibe yimveliso enye yehlabathi. Iimpawu zinokulungiswa ngokwendawo nangokohlobo lwemoto, ngoko umnini ngamnye ufumana iseti yezixhobo eyenzelwe yena. Imodeli yemoto enemilinganiselo emithathu iboniswa ngaphakathi kwegaraji yobuxoki, kwaye iiwijethi ezimacala mathandathu zilandela isazisi sobunikazi. Imowudi yondwendwe ivumela abantu abangenayo imoto ukuba bahlole iimpawu eziphambili phambi kokuba bathathe isigqibo.

Ukuqatshelwa

Malunga ne-Ibhaso Legolide le-A' Design Award

MG Next Generation ISicelo Sokuncedisa Semoto ngumphumeleli weIbhaso Legolide le-A' Design Award, ukuqatshelwa okuhlonitshwayo kakhulu okunikwa imiyilo yeklasi yokuqala, ephawulekayo nentle. Abaphumeleleyo beGolide ziimveliso ezintsha kakhulu, ezinombono ongaphaya nezikhazimlayo ezibonisa ubuchule, ubulumko nobuchule babayili bazo. MG Next Generation ISicelo Sokuncedisa Semoto iyathenjwa ukuba ibe yimveliso edunyiswe kakhulu, ebeka umkhwa nekumgangatho wesikhumbuzo enikela ixabiso elingazange libonwe. Lo myilo uphumeleleyo weIbhaso Legolide le-A' Design Award yiprojekthi emangalisayo nehlonelwayo eluncedo kakhulu kwaye inyusa imida yobugcisa, inzululwazi, uyilo kunye nobuchwephesha. MG Next Generation ISicelo Sokuncedisa Semoto idala iimvakalelo ezinzulu zonqweno, ivusa umdla, ikhuthaza ukuyila kwaye iyasikhwebela.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: The MG app is a mobile and watch companion for car owners. Our main objective was to create a more holistic mobile experience by integrating existing apps from various markets into a unified global application. The new app aims to boost the adoption of companion devices, allowing users to customize features based on their location and specific vehicle model, delivering a personalized experience.
Iithegi: mobile, apple watch, 3D, car, automotive, companion app, design system, EV
Ubuchwepheshe Bokuvelisa: We aimed to mimic real car experience digitally using a 3D model, giving users a real sense of their vehicle on their screens. We placed the car in a virtual garage inspired by futuristic and sci-fi concepts.
We adopted a clear black and white palette, with hints of metallic and vibrant orange for contrast. Elevating surfaces and visual effects added tangible materiality to the interface, intensified by fluid animations and interactions that emulate real-world functionality.
Hexagon widgets, echoing MG's logo, maintain coherence and reinforce the brand's identity.
Umngeni Woyilo: We've segmented users into two distinct groups: car owners and non-owners. Each group has unique informational needs and preferred functionalities.
For car owners, access is provided to a customizable My MG screen, offering swift vehicle control along with personalized features and essential data.
Non-owners utilize a guest mode to preview key features and gather information about MG cars. This mode enables potential buyers to explore the advantages of informed decision-making.
One of the significant challenges faced by the client was managing separate regional apps, leading to maintenance issues and limited scalability. In response, we executed a comprehensive revamp of the app's design approach to address this issue.
Uphando: Our team thoroughly analyzed vehicle-related apps, identifying market trends, strengths, areas for improvement, and potential innovations. We employed card sorting exercises to grasp user navigation preferences, collaborating with the client team to prioritize features aligning with business goals. Utilizing insights from these exercises, we crafted an interactive prototype showcasing 8 core use cases. Testing this prototype with car owners worldwide uncovered usability issues and app pain points. Leveraging these insights, we refined and improved the app's design to meet user expectations, ensuring a seamless and satisfying experience.
Inkuthazo: To address the scattered UX complexity present across multiple MG apps, our team developed a unified app using a modular approach. This design empowers users to customize features according to their location and specific vehicle model, delivering a personalized experience. The reimagined structure now incorporates all pre-existing functionalities, guaranteeing clarity, predictability, simplicity, scalability, and substantial value for both users and the business.
Ubude Beprojekthi: up to 6 month, China
Ukuhamba Komsebenzi: Incorporating real-life patterns and metaphors makes the design clear and intuitive. We based the placement of frequently used functions on user research and ergonomic principles, ensuring easy accessibility. Feedback from validation sessions led to refinements for more clear controls. Careful attention was given to the first-time experience to assist users in binding the car and exploring features. Furthermore, we introduced a guest mode, enabling potential buyers to explore the app's advantages for more informed decision-making. Finally, the watch app offers essential features precisely when users need them.
Amalungu Eqela: Viacheslav Shkolnyi, Anastasiia Gryshchenko, Kate Hutenieva, Nikolay Apostol, Maryna Ionova, Ivan Shvarov, Bao Yidan, Tang Shenghao, Wu Donghai, Lu Min, Xu Jie, Ruan Bo
Amagunya Emifanekiso: Star