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基于稀疏网络和虚拟现实系统的互动艺术设计与色彩感知。

Interactive Art Design and Color Perception Based on the Sparse Network and the VR System.

机构信息

School of Fine Arts and Design Department of Product Design, Guangzhou University, Guangzhou 510006, Guangdong, China.

Guangzhou University, Guangzhou 510006, Guangdong, China.

出版信息

Comput Intell Neurosci. 2022 Sep 28;2022:8348632. doi: 10.1155/2022/8348632. eCollection 2022.

Abstract

At present, with the gradual development of science and technology, people's life has also produced a lot of changes, the traditional communication technology has been gradually changed by the new computer technology, people's life has become more intelligent. However, many current artificial intelligence technologies rely on the promotion of network data. In the mobile terminal, especially in the poor state of some data network environment, many users' intelligence needs cannot be met. From the perspective of user interaction experience, this paper analyzes and investigates the interactive standby link in detail and systematically based on the perspective of context awareness and carries out a battle summary with the scientific, systematic, reasonable, and executable design methods suitable for an interactive standby state and puts forward the recommended items of matrix decomposition. The static information is embedded in the model. The status of information is imported as a dimension different from the previous matrix factorization model, and the accumulation of interaction between user's status conditions and project factors is considered, as well as the sensitivity difference between user and information project status. In order to obtain the global situation of user balance, the project prediction deviation caused by the vector and sensitivity to various conditions is needed. Finally, the training model gets the final prediction score value and puts forward the mobile system user interaction experience art design strategy based on context awareness, which provides a certain idea to meet the needs of mobile system users.

摘要

目前,随着科学技术的逐步发展,人们的生活也发生了很多变化,传统的通信技术已经逐渐被新的计算机技术所改变,人们的生活变得更加智能化。然而,许多当前的人工智能技术依赖于网络数据的推动。在移动终端中,特别是在某些数据网络环境较差的情况下,许多用户的智能需求无法得到满足。本文从用户交互体验的角度,基于上下文感知的角度对交互备用链路进行了详细而系统的分析和调查,并运用适合交互备用状态的科学、系统、合理和可执行的设计方法,与矩阵分解进行了总结性的对比。将静态信息嵌入到模型中。将信息状态作为与之前矩阵分解模型不同的维度导入,并考虑用户状态条件和项目因素之间的交互积累,以及用户和信息项目状态之间的敏感性差异。为了获得用户平衡的全局情况,需要考虑向量引起的项目预测偏差以及对各种条件的敏感性。最后,训练模型得到最终的预测得分值,并提出基于上下文感知的移动系统用户交互体验艺术设计策略,为满足移动系统用户的需求提供了一定的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34cb/9534635/f92a713fcd49/CIN2022-8348632.001.jpg

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