Visualizing Biographical Trajectories by Historical Artifacts: A Case Study Based on the Photography Collection of Charles W. Cushman

The digitization of cultural archives and historical records is opening up new avenues for biographical research and teaching. On the one hand, historical ouevres and lifework collections can be newly visualized for different audiences. On the other hand, biographical trajectories can be represented and analyzed in an unforeseen manner. But how do visualizations of life and work go together? With this paper we reflect on ways and means how to shed light on the life of artists or other historical actors by the means of metadata provided by their ouevre. By representing the works of Charles W. Cushman in the PolyCube framework for cultural collection visualization, we shed light on aspects of his biography in a geo-temporal and categorial-temporal information space. We discuss how these visual-analytical frames of reference could be combined for their mutual contextualization, and how they can be hybridized with textual sources to provide a multimodal, narrative framework of biographical knowledge exploration and communication.

[1]  Why Distant Reading Isn't , 2017, PMLA/Publications of the Modern Language Association of America.

[2]  Silvia Miksch,et al.  CV3: Visual Exploration, Assessment, and Comparison of CVs , 2018, EuroVis.

[3]  Eric Sandweiss The Day in Its Color: Charles Cushman's Photographic Journey Through a Vanishing America , 2012 .

[4]  Florian Windhager,et al.  Orchestrating Overviews: A Synoptic Approach to the Visualization of Cultural Collections , 2018 .

[5]  Saminu M. Salisu,et al.  Integrated Visualization of Space and Time: A Distributed Cognition Perspective , 2018 .

[6]  Greta Franzini,et al.  On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges , 2015, EuroVis.

[7]  K. Bender,et al.  Distant Viewing in Art History. A Case Study of Artistic Productivity , 2015 .

[8]  Silvia Miksch,et al.  Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes , 2016, HistoInformatics@DH.

[9]  Silvia Miksch,et al.  Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges , 2019, IEEE Transactions on Visualization and Computer Graphics.

[10]  J.C. Roberts,et al.  State of the Art: Coordinated & Multiple Views in Exploratory Visualization , 2007, Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2007).

[11]  Tommaso Caselli,et al.  Extracting and Visualising Biographical Events from Wikipedia , 2015, BD.

[12]  William Wright,et al.  GeoTime Information Visualization , 2004, IEEE Symposium on Information Visualization.

[13]  Margit Pohl,et al.  Pep Up Your Time Machine: Recommendations for the Design of Information Visualizations of Time-Dependent Data , 2014, Handbook of Human Centric Visualization.

[14]  Florian Windhager,et al.  Visualizing Uncertainty in Cultural Heritage Collections , 2018, EuroRV³@EuroVis.

[15]  Silvia Miksch,et al.  Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections , 2019, EuroVis.

[16]  Florian Windhager,et al.  Beyond One-Dimensional Portraits: A Synoptic Approach to the Visual Analysis of Biography Data , 2017, BD.

[17]  Mats Lind,et al.  Evaluating 2D and 3D visualizations of spatiotemporal information , 2010, TAP.

[18]  Per Ola Kristensson,et al.  An Evaluation of Space Time Cube Representation of Spatiotemporal Patterns , 2009, IEEE Transactions on Visualization and Computer Graphics.

[19]  Eric Sandweiss “The Day in Its Color”: Charles and Jean Cushman , 2007 .

[20]  Miranda B. Hickman,et al.  Rereading the New Criticism , 2012 .

[21]  Camilla Forsell,et al.  2D and 3D Representations for Feature Recognition in Time Geographical Diary Data , 2010, Inf. Vis..

[22]  Torsten Hägerstraand WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[23]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[24]  Michael J. McGuffin,et al.  The Impact of Interactivity on Comprehending 2D and 3D Visualizations of Movement Data , 2015, IEEE Transactions on Visualization and Computer Graphics.

[25]  Martha A. Sandweiss Image and Artifact: The Photograph as Evidence in the Digital Age , 2007 .

[26]  Katrin Glinka,et al.  Visualising the » Unseen « : Towards Critical Approaches and Strategies of Inclusion in Digital Cultural Heritage Interfaces , 2015 .

[27]  J. Drucker Is There a “Digital” Art History? , 2013 .

[28]  Eero Hyvönen,et al.  Analyzing and Visualizing Prosopographical Linked Data Based on Biographies , 2017, BD.

[29]  Menno-Jan Kraak,et al.  Timelines, temporal resolution, temporal zoom and time geography , 2005 .

[30]  W. Cleveland,et al.  Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods , 1984 .

[31]  Gennady L. Andrienko,et al.  Interactive analysis of event data using space-time cube , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..

[32]  Marian Dörk,et al.  One view is not enough: High-level visualizations of a large cultural collection , 2017 .