9,171 research outputs found

    User interfaces for mobile navigation

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    Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines

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    A cross-disciplinary examination of the user behaviours involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data. Two analytical frameworks rooted in information retrieval and science technology studies are used to identify key similarities in practices as a first step toward developing a model describing data retrieval

    Evaluating the Outdoor Learning Toolkit 2016

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    'Breaking the glass': preserving social history in virtual environments

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    New media technologies play an important role in the evolution of our society. Traditional museums and heritage sites have evolved from the ‘cabinets of curiosity’ that focused mainly on the authority of the voice organising content, to the places that offer interactivity as a means to experience historical and cultural events of the past. They attempt to break down the division between visitors and historical artefacts, employing modern technologies that allow the audience to perceive a range of perspectives of the historical event. In this paper, we discuss virtual reconstruction and interactive storytelling techniques as a research methodology and educational and presentation practices for cultural heritage sites. We present the Narrating the Past project as a case study, in order to illustrate recent changes in the preservation of social history and guided tourist trails that aim to make the visitor’s experience more than just an architectural walk through

    Mixed Reality on a Virtual Globe

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    Engaging the Virtual Landscape: Toward an Experiential Approach to Exploring Place Through a Spatial Experience Engine

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    The utilization of Geographic Information Systems (GIS) and other geospatial technologies in historical inquiry and the humanities has led to a number of projects that are exploring digital representations of past landscapes and places as platforms for synthesizing and representing historical and geographic information. Recent advancements in geovisualization, immersive environments, and virtual reality offer the opportunity to generate digital representations of cultural and physical landscapes, and embed those virtual landscapes with information and knowledge from multiple GIS sources. The development of these technologies and their application to historical research has opened up new opportunities to synthesize historical records from disparate sources, represent these sources spatially in digital form, and to embed the qualitative data into those spatial representations that is often crucial to historical interpretation.;This dissertation explores the design and development of a serious game-based virtual engine, the Spatial Experience Engine (SEE), that provides an immersive and interactive platform for an experiential approach to exploring and understanding place. Through a case study focused on the late nineteenth-century urban landscape of Morgantown, West Virginia, the implementation of the SEE discussed in this dissertation demonstrates a compelling platform for building and exploring complex, virtual landscapes, enhanced with spatialized information and multimedia. The SEE not only provides an alternative approach for scholars exploring the spatial turn in history and a humanistic, experiential analysis of historical places, but its flexibility and extensibility also offer the potential for future implementations to explore a wide range of research questions related to the representation of geographic information within an immersive and interactive virtual landscape

    Making Sense of Document Collections with Map-Based Visualizations

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    As map-based visualizations of documents become more ubiquitous, there is a greater need for them to support intellectual and creative high-level cognitive activities with collections of non-cartographic materials -- documents. This dissertation concerns the conceptualization of map-based visualizations as tools for sensemaking and collection understanding. As such, map-based visualizations would help people use georeferenced documents to develop understanding, gain insight, discover knowledge, and construct meaning. This dissertation explores the role of graphical representations (such as maps, Kohonen maps, pie charts, and other) and interactions with them for developing map-based visualizations capable of facilitating sensemaking activities such as collection understanding. While graphical representations make document collections more perceptually and cognitively accessible, interactions allow users to adapt representations to users’ contextual needs. By interacting with representations of documents or collections and being able to construct representations of their own, people are better able to make sense of information, comprehend complex structures, and integrate new information into their existing mental models. In sum, representations and interactions may reduce cognitive load and consequently expedite the overall time necessary for completion of sensemaking activities, which typically take much time to accomplish. The dissertation proceeds in three phases. The first phase develops a conceptual framework for translating ontological properties of collections to representations and for supporting visual tasks by means of graphical representations. The second phase concerns the cognitive benefits of interaction. It conceptualizes how interactions can help people during complex sensemaking activities. Although the interactions are explained on the example of a prototype built with Google Maps, they are independent iv of Google Maps and can be applicable to various other technologies. The third phase evaluates the utility, analytical capabilities and usability of the additional representations when users interact with a visualization prototype – VIsual COLlection EXplorer. The findings suggest that additional representations can enhance understanding of map-based visualizations of library collections: specifically, they can allow users to see trends, gaps, and patterns in ontological properties of collections
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