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Attention Guidance through Video Script: A Case Study of Object Focusing on 360{\deg} VR Video Tours

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arXiv:2603.16875v1 Announce Type: cross Abstract: Within the expansive domain of virtual reality (VR), 360{\deg} VR videos immerse viewers in a spherical environment, allowing them to explore and interact with the virtual world from all angles. While this video representation offers unparalleled levels of immersion, it often lacks effective methods to guide viewers' attention toward specific elements within the virtual environment. This paper combines the models Grounding Dino and Segment Anythi

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    Computer Science > Human-Computer Interaction [Submitted on 29 Jan 2026] Attention Guidance through Video Script: A Case Study of Object Focusing on 360° VR Video Tours Paulo Vitor Santana Silva, Arthur Ricardo Sousa Vitória, Diogo Fernandes Costa Silva, Arlindo Rodrigues Galvão Filho Within the expansive domain of virtual reality (VR), 360° VR videos immerse viewers in a spherical environment, allowing them to explore and interact with the virtual world from all angles. While this video representation offers unparalleled levels of immersion, it often lacks effective methods to guide viewers' attention toward specific elements within the virtual environment. This paper combines the models Grounding Dino and Segment Anything (SAM) to guide attention by object focusing based on video scripts. As a case study, this work conducts the experiments on a 360° video tour on the University of Reading. The experiment results show that video scripts can improve the user experience in 360° VR Videos Tour by helping in the task of directing the user's attention. Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) Cite as: arXiv:2603.16875 [cs.HC]   (or arXiv:2603.16875v1 [cs.HC] for this version)   https://doi.org/10.48550/arXiv.2603.16875 Focus to learn more Journal reference: SVR 2024: Proceedings of the 26th Symposium on Virtual and Augmented Reality Related DOI: https://doi.org/10.1145/3691573.3691618 Focus to learn more Submission history From: Paulo Vitor Santana Silva [view email] [v1] Thu, 29 Jan 2026 19:30:13 UTC (22,821 KB) Access Paper: HTML (experimental) view license Current browse context: cs.HC < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.AI References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv AI
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    ◬ AI & Machine Learning
    Published
    Mar 19, 2026
    Archived
    Mar 19, 2026
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