Joe Kohlmann

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Exploration and discovery in a large text corpus requires investigation at multiple levels of abstraction, from a zoomed-out view of the entire corpus down to close-ups of individual passages and words. At each of these levels, there is a wealth of information that can inform inquiry - from statistical models, to metadata, to the researcher's own knowledge(More)
Direct replay of the experience of a user in a virtual environment is difficult for others to watch due to unnatural camera motions. We present methods for replaying and summarizing these egocentric experiences that effectively communicate the user's observations while reducing unwanted camera movements. Our approach summarizes the viewpoint path as a(More)
This paper presents the design considerations, specifications, and lessons learned while building DSCVR, a commodity hybrid reality environment. Consumer technology has enabled a reduced cost for both 3D tracking and screens, enabling a new means for the creation of immersive display environments. However, this technology also presents many challenges,(More)
Virtual Reality environments have the ability to present users with rich visual representations of simulated environments. However, means to interact with these types of illusions are generally unnatural in the sense that they do not match the methods humans use to grasp and move objects in the physical world. We demonstrate a system that enables users to(More)
Topic modeling---an increasingly popular method of large-scale textual analysis being employed in many elds across research and industry---is ripe for visualization tools that will make it more accessible. Some such tools already exist. However, e orts to visualize the output of these algorithms tend to focus on analyzing the model itself, distinct from the(More)
Externally observing the experience of a participant in a virtual environment is generally accomplished by viewing an egocentric perspective. Monitoring this view can often be difficult for others to watch due to unwanted camera motions that appear unnatural and unmotivated. We present a novel method for reducing the unnaturalness of these camera motions by(More)
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