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VR-Notes: A Perspective-Based, Multimedia Annotation System in Virtual Reality
Justin Luo
Dartmouth TR2020-897

Abstract:

Virtual reality (VR) has begun to emerge as a new technology in the commercial and research space, and many people have begun to utilize VR technologies in their workflows. To improve user productivity in these scenarios, annotation systems in VR allow users to capture insights and observations while in VR sessions. In the digital, 3D world of VR, we can design annotation systems to take advantage of these capabilities to provide a richer annotation viewing experience. I propose VR-Notes, a design for a new annotation system in VR that focuses on capturing the annotator's perspective for both "doodle" annotations and audio annotations, as well as various features that improve the viewing experience of these annotations at a later time. Early results from my experiment showed that the VR-Notes doodle method required 53%, 44%, 51% less movement and 42%, 41%, 45% less rotation (head, left controller, and right controller respectively) when compared to a popular 3D freehand drawing method. Additionally, users preferred and scored the VR Notes doodle method higher when compared to the freehand drawing method.

Note: Senior Honors Thesis. Advisor: Xing-Dong Yang


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   Justin Luo, "VR-Notes: A Perspective-Based, Multimedia Annotation System in Virtual Reality." Dartmouth Computer Science Technical Report TR2020-897, June 2020.


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