The way of using digital media based on artificial intelligence technology and the path of creation

IF 3.1 Q1 Mathematics
Shan Lu, Shiming Ma
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Abstract

This paper explores new approaches to the application and creation of digital media in the context of the rapid development of artificial intelligence technology, with a particular focus on virtual reality interaction. The study utilizes the spatial distance of the enclosing spheres in the hybrid hierarchical enclosing box and the characteristic of non-intersection between the enclosing boxes for collision detection, and the collision information returned by the rays is analyzed in depth. Meanwhile, the intersection test method is used to improve the efficiency of collision detection. And a subjective evaluation of 10 users’ experience in virtual reality art interaction was conducted. The results showed that the system was highly rated in accuracy (average score of 8.39), but rated lower in simplicity (average score of 4.28). There was a positive relationship between the user’s eye gaze duration and the number of interruptions and misoperations in art interactions. At an eye gaze duration of 0.2 seconds, half of the users did not experience interaction interruptions; when the gaze duration increased to 1.2 seconds, all users had no interruptions. This paper provides a practical reference case for using AI technology in digital media applications and creation, especially in enhancing the accuracy and efficiency of virtual reality interactions.
基于人工智能技术的数字媒体使用方式和创作路径
本文在人工智能技术飞速发展的背景下,以虚拟现实交互为重点,探索数字媒体应用和创作的新方法。研究利用混合分层包围盒中包围球的空间距离和包围盒之间不相交的特点进行碰撞检测,并深入分析了射线返回的碰撞信息。同时,利用相交测试方法提高碰撞检测的效率。并对 10 位用户的虚拟现实艺术交互体验进行了主观评价。结果表明,该系统在准确性方面获得了很高的评价(平均得分为 8.39 分),但在简易性方面的评价较低(平均得分为 4.28 分)。在艺术互动中,用户注视眼睛的持续时间与中断和错误操作的次数之间存在正相关关系。当目光注视持续时间为 0.2 秒时,半数用户没有出现交互中断;当目光注视持续时间增加到 1.2 秒时,所有用户都没有出现交互中断。本文为将人工智能技术应用于数字媒体应用和创作,特别是提高虚拟现实交互的准确性和效率提供了一个实用的参考案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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