Chu, Jacqueline, Bryan, Chris, Shih, Min, Ferrer, Leonardo, Ma, Kwan-Liu.
2017.
Navigable Videos for Presenting Scientific Data on Affordable Head-Mounted Displays. Proceedings of the 8th ACM on Multimedia Systems Conference. :250–260.
Immersive, stereoscopic visualization enables scientists to better analyze structural and physical phenomena compared to traditional display mediums. Unfortunately, current head-mounted displays (HMDs) with the high rendering quality necessary for these complex datasets are prohibitively expensive, especially in educational settings where their high cost makes it impractical to buy several devices. To address this problem, we develop two tools: (1) An authoring tool allows domain scientists to generate a set of connected, 360° video paths for traversing between dimensional keyframes in the dataset. (2) A corresponding navigational interface is a video selection and playback tool that can be paired with a low-cost HMD to enable an interactive, non-linear, storytelling experience. We demonstrate the authoring tool's utility by conducting several case studies and assess the navigational interface with a usability study. Results show the potential of our approach in effectively expanding the accessibility of high-quality, immersive visualization to a wider audience using affordable HMDs.
Cordeil, Maxime, Cunningham, Andrew, Dwyer, Tim, Thomas, Bruce H., Marriott, Kim.
2017.
ImAxes: Immersive Axes As Embodied Affordances for Interactive Multivariate Data Visualisation. Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. :71–83.
We introduce ImAxes immersive system for exploring multivariate data using fluid, modeless interaction. The basic interface element is an embodied data axis. The user can manipulate these axes like physical objects in the immersive environment and combine them into sophisticated visualisations. The type of visualisation that appears depends on the proximity and relative orientation of the axes with respect to one another, which we describe with a formal grammar. This straight-forward composability leads to a number of emergent visualisations and interactions, which we review, and then demonstrate with a detailed multivariate data analysis use case.
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