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Virtual Reality nonfiction (VRNF) is an emerging form of immersive media experience created for consumption using panoramic "Virtual Reality" headsets. VRNF promises nonfiction content producers the potential to create new ways for audiences to experience "the real"; allowing viewers to transition from passive spectators to active participants. Our current project is exploring VRNF through a series of ethnographic and experimental studies. In order to document the content available, we embarked on an analysis of VR documentaries produced to date. In this paper, we present an analysis of a representative sample of 150 VRNF titles released between 2012-2018. We identify and quantify 64 characteristics of the medium over this period, discuss how producers are exploiting the affordances of VR, and shed light on new audience roles. Our findings provide insight into the current state of the art in VRNF and provide a digital resource for other researchers in this area.

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There are two major influences on human visual attention: bottom-up and top-down processing. Bottom-up processing is the automatic direction of gaze to lively or colourful objects as determined by low-level vision. In contrast, top-down processing is consciously directed attention in the pursuit of predetermined goals or tasks. Previous work in perception-based rendering has exploited bottom-up visual attention to control detail (and therefore time) spent on rendering parts of a scene. In this paper, we demonstrate the principle of Inattentional Blindness, a major side effect of top-down processing, where portions of the scene unrelated to the specific task go unnoticed. In our experiment, we showed a pair of animations rendered at different quality levels to 160 subjects, and then asked if they noticed a change. We instructed half the subjects to simply watch our animation, while the other half performed a specific task during the animation. When parts of the scene, outside the focus of this task, were rendered at lower quality, almost none of the task-directed subjects noticed, whereas the difference was clearly visible to the control group. Our results clearly show that top-down visual processing can be exploited to reduce rendering times substantially without compromising perceived visual quality in interactive tasks.

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