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Titlebook: Culture and Computing; 12th International C Matthias Rauterberg Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-28 16:58:58 | 只看該作者
ContentRank: Towards a Scoring and Ranking System for Screen Media Products Using Critical Receptionk into ScreenMiner, their cloud-based software solution that supports content discoverability and strategy..Industry interest in the success of media products has historically focused on quantitative metrics, such as audience numbers, retention, and earnings. However, producers, public funding agenc
42#
發(fā)表于 2025-3-28 19:28:16 | 只看該作者
Discussion of User Experience for Streaming Platform by Using Mouse Trajectoryture reference..The researcher looks into five aspects principles of Nielsen across Twitch, Nonolive, and King Kong by applying the mouse tracking technology, questionnaire, and interviews for qualitative and quantitative results. The researcher summarizes that the fundamental functions of live stre
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發(fā)表于 2025-3-29 01:20:59 | 只看該作者
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發(fā)表于 2025-3-29 05:28:47 | 只看該作者
Exploring User Behavior Based on Metaverse: A Modeling Study of User Experience Factorsdel can be used as a paradigm for overlapping interactions between the physical and virtual worlds. The paradigm presented in this paper can help metaverse development and investment companies understand user needs more effectively and provide a paradigm that can be referenced to attract user engage
45#
發(fā)表于 2025-3-29 11:19:00 | 只看該作者
Research on AR Cultural Heritage Museum Application Design Driven by User Demandsdesign strategies were proposed based on the results. The results indicate that intuitive high-definition user interfaces, QR code-scanning AR entry points, comprehensive museum tour guides, virtual exhibit animations, and distinguishing modes for AR both inside and outside the museum are relatively
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發(fā)表于 2025-3-29 12:30:34 | 只看該作者
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發(fā)表于 2025-3-29 17:48:15 | 只看該作者
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發(fā)表于 2025-3-29 22:09:14 | 只看該作者
49#
發(fā)表于 2025-3-30 00:56:49 | 只看該作者
Data Shed: Interactive Art in the Service of Data Fluencyty of machine learning to address surveillance and data-shedding concerns. The paper details research creation, the development methodology, and highlights gaps where the “Data Shed” approach can bring focus to these issues. Evaluative insights are provided, emphasizing technical goals, interactivit
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發(fā)表于 2025-3-30 06:05:51 | 只看該作者
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