基于交互式AI算法构建动态图形在未来社区活动中的个性化引导
Constructing Motion Graphics for Personalized Guidance in Future Community Activities Based on Interactive AI Algorithms
张芾1
作者信息
- 1. 深圳职业技术大学 传播工程学院,深圳 518055
- 折叠
摘要
为满足未来社区活动多样化需求,本研究提出利用用户数据分析、语言模型和交互式反馈,提供个性定制化的社区活动引导,增强未来社区吸引力和用户体验,并设计专属于个人需求的交互式AI动态图形个性化引导系统.该系统在确立社区空间中的系统设计原则和核心功能基础上,全面搜集并分析用户数据,精确构建AI算法模型,实时生成及更新动态图形,在社区空间中实现流畅的用户体验,持续优化用户体验并严格保护用户个人隐私.
Abstract
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.
关键词
交互式AI算法/动态图形设计/未来社区/用户体验/个性化定制Key words
Interactive AI algorithms/Motion graphic design/Future communities/User experience/Personalized customization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据