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The artistic design of user interaction experience for mobile systems based on context-awareness and machine learning
Neural Computing and Applications ( IF 4.5 ) Pub Date : 2021-06-18 , DOI: 10.1007/s00521-021-06160-x
Lina Liu

This paper investigates the art design of user interaction experience in mobile systems through the methods of contextual perception and machine learning. The theoretical foundations for the design of intangible cultural heritage interactive display resources include digital display theory, intangible cultural heritage education theory, embodied cognition theory, and gamification design theory. Based on the modelling and analysis of the theoretical foundations, the design principles are derived, including the heritage education principle, the somatic interaction design principle, and the content design principle. In this paper, we use ontologies to construct user knowledge models, fuse multi-situational similarity metrics, screen out candidate neighbour sets through preliminary screening, then combine the user's activity to construct time-based weight tensor scores, use tensor decomposition to obtain recommendation evaluation values, and finally use the recommendation evaluation values to make artistic recommendations. The experimental results show that the algorithm can still obtain a good recommendation implementation in the case of extremely sparse data. The analysis of the fit between augmented reality and folk art appreciation class, as well as the reference to relevant application cases, make design and practice of augmented reality application in folk art appreciation class, try to solve the common problems in folk art appreciation class, analyse the feedback effect and make a summary and outlook.



中文翻译:

基于上下文感知和机器学习的移动系统用户交互体验艺术设计

本文通过上下文感知和机器学习的方法研究移动系统中用户交互体验的艺术设计。非遗互动展示资源设计的理论基础包括数字展示理论、非遗教育理论、具身认知理论和游戏化设计理论。在对理论基础进行建模和分析的基础上,推导出设计原则,包括遗产教育原则、躯体交互设计原则和内容设计原则。在本文中,我们使用本体构建用户知识模型,融合多情景相似度度量,通过初步筛选筛选出候选邻居集,然后结合用户的' s活动构建基于时间的权重张量分数,使用张量分解得到推荐评价值,最后利用推荐评价值进行艺术推荐。实验结果表明,该算法在极稀疏数据的情况下仍能获得较好的推荐实现。分析增强现实与民间艺术鉴赏课的契合度,并参考相关应用案例,对增强现实在民间艺术鉴赏课中的应用进行设计与实践,试图解决民间艺术鉴赏课中的常见问题,分析反馈效果,进行总结和展望。最后利用推荐评价值进行艺术推荐。实验结果表明,该算法在极稀疏数据的情况下仍能获得较好的推荐实现。分析增强现实与民间艺术鉴赏课的契合度,并参考相关应用案例,对增强现实在民间艺术鉴赏课中的应用进行设计与实践,试图解决民间艺术鉴赏课中的常见问题,分析反馈效果,进行总结和展望。最后利用推荐评价值进行艺术推荐。实验结果表明,该算法在极稀疏数据的情况下仍能获得较好的推荐实现。分析增强现实与民间艺术鉴赏课的契合度,并参考相关应用案例,对增强现实在民间艺术鉴赏课中的应用进行设计与实践,试图解决民间艺术鉴赏课中的常见问题,分析反馈效果,进行总结和展望。

更新日期:2021-06-18
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