Without thinking where it is
Cloud Service interface
This collaborative team workshop took place in 2015, in partnership with HP China's design department. The primary aim of the workshop was to develop a novel interactive interface for HP China's online personal cloud services. Following multiple rounds of market analysis, user research, and brainstorming sessions, our team proposed a solution that would offer users an interactive experience based on their daily file usage habits, emulating the familiarity of a physical desktop environment. Recognizing that each individual possesses unique work patterns, we leveraged the concept of a user's personal desktop, where the arrangement of objects is intuitive and familiar. Our project's core objective was to achieve an invisible, natural, and secure interaction model.
By collecting, analyzing, and employing deep learning techniques on the user's daily usage frequency and file location habits, the personal cloud service interface dynamically and progressively organizes different files over time. Every user-initiated change, edit, or modification triggers the AI algorithm to learn and adapt, gradually forming a personalized file classification logic for the user. This approach ensures that the interface evolves alongside the user's needs, fostering a more efficient and tailored user experience.
UI/UX Design / Shanghai / 2015
Without thinking where it is
Cloud Service interface
This collaborative team workshop took place in 2015, in partnership with HP China's design department. The primary aim of the workshop was to develop a novel interactive interface for HP China's online personal cloud services. Following multiple rounds of market analysis, user research, and brainstorming sessions, our team proposed a solution that would offer users an interactive experience based on their daily file usage habits, emulating the familiarity of a physical desktop environment. Recognizing that each individual possesses unique work patterns, we leveraged the concept of a user's personal desktop, where the arrangement of objects is intuitive and familiar. Our project's core objective was to achieve an invisible, natural, and secure interaction model.
By collecting, analyzing, and employing deep learning techniques on the user's daily usage frequency and file location habits, the personal cloud service interface dynamically and progressively organizes different files over time. Every user-initiated change, edit, or modification triggers the AI algorithm to learn and adapt, gradually forming a personalized file classification logic for the user. This approach ensures that the interface evolves alongside the user's needs, fostering a more efficient and tailored user experience.
UI/UX Design / Shanghai / 2015
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