XCam: Mixed-Initiative Virtual Cinematography for Live Production of Virtual Reality Experiences

要旨

VR is often utilized for organizing virtual events such as meetings, conferences, and concerts; however, support for live production is lacking in most existing VR tools. We present XCam, a toolkit enabling mixed-initiative control over virtual camera systems---from fully manual control by users to increasingly automated, system-driven control with minimal user intervention. XCam's architectural design separates the concerns of object tracking, camera motion, and scene transition, giving more degrees of freedom to operators who can adjust the level of automation along all three dimensions. We used to conduct two studies: (1) interviews with six VR content creators probe into what aspects should and shouldn't be automated based on six applications developed with XCam; (2) three workshops with experts explore XCam's utility in live production of an interactive VR film sequence, a lecture on cinematography, and an alumni meeting in social VR. Expert feedback from our studies suggests how to balance automation and control, and the opportunities and limits of future AI-driven tools.

著者
Michael Nebeling
University of Michigan, Ann Arbor, Michigan, United States
Liwei Wu
University of Waterloo, Waterloo, Ontario, Canada
Hanuma Teja Maddali
University of Maryland, College Park, Maryland, United States
DOI

10.1145/3706598.3713305

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713305

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Creative Tools

Annex Hall F205
7 件の発表
2025-04-30 01:20:00
2025-04-30 02:50:00
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