To meet the diverse needs of future community activities,personalized community activity guidance was provided by utilizing user data analysis,language modeling,and real-time interactive feedback,enhancing the attractiveness and user experience of future communities.This study aimed to customize an interactive AI motion graphics personalized guidance system tailored to individual needs.Based on establishing design principles and core functions of the system in the community space,the system comprehensively collected and analyzed the user data,and accurately constructed AI algorithm models,to dynamically generate and update the motion graphics in real-time,achieve a smooth user experience in the community space,continuously optimize the user's experience,and strictly protect the user's personal privacy.
Interactive AI algorithmsMotion graphic designFuture communitiesUser experiencePersonalized customization
NETL
NSTL
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