000 Informatik, Wissen, Systeme
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Narrelations
(2019)
We present findings from interdisciplinary research at the intersection between literary studies, information visualization, and interface design. Despite a growing interest in text visualization among literary scholars, so far, narrative visualizations are not designed to support the particular tasks involved in narratological analysis and often fail to reveal nuanced narratological features. One major outcome of our iterative research and design process is Narrelations, a novel visualization technique specifically suited for analyzing and interpreting narrative levels of a story and temporal aspects of its narrative representation. The visualization provides an overview of the nesting and distribution of narrative levels, integrates the representation of temporal phenomena, and facilitates the examination of correlations between these aspects. With this research we explore how collaboratively designed visual encodings and interaction techniques may allow for an insightful analysis at a high level coupled with a close inspection of text passages. We discuss prior work relevant to our research objectives and explain the specific characteristics of narrative levels and temporal aspects of narrative representation. After describing the research process and design principles, we apply the visualization on a test corpus of eight annotated German short stories and demonstrate its heuristic value for literary analyses and interpretations. In particular, we explore the intricate connections between the literary content of the novellas and their narrative form.
Surprise Machines is a project of experimental museology that sets out to visualize the entire image collection of the Harvard Art Museums, with a view to opening up unexpected vistas on more than 200,000 objects usually inaccessible to visitors. The project is part of the exhibition organized by metaLAB (at) Harvard entitled Curatorial A(i)gents and explores the limits of artificial intelligence to display a large set of images and create surprise among visitors. To achieve this feeling of surprise, a choreographic interface was designed to connect the audience’s movement with several unique views of the collection.
{hi}stories
(2008)
With more and more digital information being produced by individuals every day, we will soon be able to use it to understand the past. Based on this premise this paper presents {Hi}Stories, a system to support the creation and access of user generated contents as historical evidences. In {Hi}Stories users aggregate contents from Internet and are invited to contribute their own material. It combines a number of research themes: collaborative information structuring, combination of contents from online services, and visualization and browsing of structured information collections.
Shifted Maps
(2018)
We present a hybrid visualization technique that integrates maps into network visualizations to reveal and analyze diverse topologies in geospatial movement data. With the rise of GPS tracking in various contexts such as smartphones and vehicles there has been a drastic increase in geospatial data being collect for personal reflection and organizational optimization. The generated movement datasets contain both geographical and temporal information, from which rich relational information can be derived. Common map visualizations perform especially well in revealing basic spatial patterns, but pay less attention to more nuanced relational properties. In contrast, network visualizations represent the specific topological structure of a dataset through the visual connections of nodes and their positioning. So far there has been relatively little research on combining these two approaches. Shifted Maps aims to bring maps and network visualizations together as equals. The visualization of places shown as circular map extracts and movements between places shown as edges, can be analyzed in different network arrangements, which reveal spatial and temporal topologies of movement data. We implemented a web-based prototype and report on challenges and opportunities about a novel network layout of places gathered during a qualitative evaluation.
mæve – An Interactive Tabletop Installation for Exploring Background Information in Exhibitions
(2009)
This paper introduces the installation mæve: a novel approach to present background information in exhibitions in a highly interactive, tangible and sociable manner. Visitors can collect paper cards representing the exhibits and put them on an interactive surface to display associated concepts and relations to other works. As a result, users can explore both the unifying themes of the exhibition as well as individual characteristics of exhibits. On basis of metadata schemata developed in the MACE (Metadata for Architectural Contents in Europe) project, the system has been put to use the Architecture Biennale to display the entries to the Everyville student competition.
Venice unfolding
(2010)
We introduce Venice Unfolding, a case study on tangible geo-visualization on an interactive tabletop to enable the exploration of architectural projects in Venice. Our tangible user interface consists of a large display showing projects on a map, and a polyhedral object to browse these data interactively by selecting and filtering various metadata facets. In this paper we describe a prototype employing new methods to communicate territorial data in visual and tangible ways. The object reduces the barrier between the physical world and virtual data, and eases the understanding of faceted geographical data, enabling urban planners and citizens alike to participate in the discovery and analysis of information referring to the physical world.
This paper presents a tabletop visualization of relations between geo-positioned locations. We developed an interactive visualization, which enables users to visually explore a geospatial network of actors. The multitouch tabletop, and the large size of the interactive surface invite users to explore the visualization in semi-public spaces.
For a case study on scientific collaborations between institutions, we applied and improved several existing techniques for a walk-up-and-use system aimed at scientists for a social setting at a conference. We describe our iterative design approach, our two implemented prototypes, and the lessons learnt from their creation. We conducted user evaluation studies at the two on-location demonstrations, which provide evidence of the prototype usability and usefulness, and its support for understanding the distribution and connectivity in a geospatial network.
This paper presents Muse, a visualization of institutional co-authorship of publications. The objective is to create an interactive visualization, which enables users to visually analyze collaboration between institutions based on publications. The easy to use multitouch interaction, and the size of the interactive surface invite users to explore the visualization in semi-public spaces.
Muse
(2010)
This paper introduces Muse, an interactive visualization of publications to explore the collaborations between institutions. For this, the data on co-authorship is utilized, as these signify an existing level of collaboration. The affiliations of authors are geo-located, resulting in relations not only among institutions, but also between regions and countries. We explain our ideas behind the visualization and the interactions, and briefly describe the data processing and the implementation of the working prototype. The prototype focuses on a visualization for large tabletop displays, enabling multiple users to explore their personal networks, as well as emerging patterns in shared networks within a collaborative public setting. For the prototype we used the publication data of the EC-TEL conference.