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Bite-sized learning is a current educational trend in which educators divide content into relatively small, easily comprehensible chunks, called nuggets. In this paper, we introduce an authoring toolkit that relies on VR implementation of nuggets and show that a nugget-based approach is also facilitating the authoring of VR learning content. In particular, we present Immersive Nugget Tiles (IN-Tiles), a novel authoring toolkit aimed at authors who are not experts in VR. With IN-Tiles, manipulating VR nuggets and authoring VR learning content can be directly accomplished within a virtual environment allowing authors to immediately experience the results of their authoring efforts in VR. We discuss the underlying concepts of IN-Tiles, specifically how to visualize VR nuggets in a virtual environment and how to present affordances that support authoring and manipulating VR nuggets. We report the results of a user study where we evaluated the IN-Tiles toolkit and compared it to a conventional 2D authoring environment that also relies on component-based VR. The results support the hypothesis that nugget-based immersive authoring tools are suitable to create bitesized VR applications successfully and that authoring directly in VR has an added value particularly for authors who are no IT specialists.

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Finding relevant information in a large and comprehensive collection of cross-referenced documents like Wikipedia usually requires a quite accurate idea where to look for the pieces of data being sought. A user might not yet have enough domain-specific knowledge to form a precise search query to get the desired result on the first try. Another problem arises from the usually highly cross-referenced structure of such document collections. When researching a subject, users usually follow some references to get additional information not covered by a single document. With each document, more opportunities to navigate are added and the structure and relations of the visited documents gets harder to understand. This paper describes the interactive visualization Wivi which enables users to intuitively navigate Wikipedia by visualizing the structure of visited articles and emphasizing relevant other topics. Combining this visualization with a view of the current article results in a custom browser specially adapted for exploring large information networks. By visualizing the potential paths that could be taken, users are invited to read up on subjects relevant to the current point of focus and thus opportunistically finding relevant information. Results from a user study indicate that this visual navigation can be easily used and understood. A majority of the participants of the study stated that this method of exploration supports them finding information in Wikipedia.

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