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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Visualizing Biographical Trajectories by Historical Artifacts: A Case Study based on the Photography Collection of Charles W. Cushman</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Eva Mayr</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Saminu Salisu</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Velitchko A. Filipov</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Gu¨ nther Schreder</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Roger A. Leite</string-name>
          <email>rogeraleite@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Silvia Miksch</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Florian Windhager</string-name>
        </contrib>
      </contrib-group>
      <abstract>
        <p>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.</p>
      </abstract>
      <kwd-group>
        <kwd>Information visualization</kwd>
        <kwd>biographical data</kwd>
        <kwd>cultural collections</kwd>
        <kwd>geo-temporal visualization</kwd>
        <kwd>visualization of dynamic sets</kwd>
        <kwd>digital history</kwd>
        <kwd>digital humanities</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Oftentimes, historical object collections containing
artifacts, assets or correspondences of artists, are bequeathed
to archives or institutions. These corpora can provide
researchers with numerous insights into an artist’s life and
work on various levels. However, such rich collections also
bring along thorough challenges for researchers in terms of
knowledge organization and information integration. They
frequently contain large amounts of objects and documents,
and the associated object information constitutes a complex
and multi-dimensional information space. Thrown into this
space, it thus is frequently difficult and time-consuming for
biography researchers to develop a macro-analytical
understanding. Also, as Sandweiss notes, ”the question is
whether the digitization of images and their new
accessibility over the Internet fundamentally alter[s] the
meaning of the original pictures or whether they instead give us
greater access to those original meanings. [...] We must
develop new interpretive skills to understand this new visual
medium”
        <xref ref-type="bibr" rid="ref27 ref28">(Sandweiss, 2007b, p. 201)</xref>
        .
      </p>
      <p>
        In this paper, we explore two corresponding types of
”distant viewing”-techniques for cultural collections
        <xref ref-type="bibr" rid="ref2">(Bender,
2015)</xref>
        and investigate how they can complement
traditional skills of object-oriented ”close viewing”-approaches
to biographical interpretation. Information visualization is
known to generate ”visual representations of abstract data
to amplify cognition
        <xref ref-type="bibr" rid="ref3">(Card et al., 1999, p. 637)</xref>
        . They
enable the interactive exploration of large amounts of data and
facilitate the analysis and understanding of various
distributions and patterns within. At the present time, biographical
databases tend to offer only basic visual representations of
individual data dimensions. Exemplarily, many interfaces
utilize maps or timelines, which allow to analyze a
persons’ life events over time or in geographic space
        <xref ref-type="bibr" rid="ref20 ref25 ref8">(Russo
et al., 2015; Leskinen et al., 2018; Filipov et al., 2019)</xref>
        , but
they rarely allow to analyze multiple dimensions in an
integrated manner
        <xref ref-type="bibr" rid="ref30">(Schlo¨ gl et al., 2019)</xref>
        . Going beyond such
one-dimensional views, synoptic visualization techniques
can provide richer insights into the multi-dimensional
entangled information spaces of biographies
        <xref ref-type="bibr" rid="ref33 ref34 ref35">(Windhager et
al., 2018c)</xref>
        and combine visualizations of life and work.
In the PolyCube project
        <xref ref-type="bibr" rid="ref32 ref33 ref34 ref35 ref38">(Windhager et al., 2016;
Windhager et al., 2018b; Windhager et al., 2020)</xref>
        we develop
methods to visually explore the multidimensional data of
cultural collections (see section 2). In this paper, we present
a case study based on the photographs of the archive of
Charles W. Cushman which illustrate how visualizations of
his lifework can complement his biographical information
(section 3). Finally, we discuss the implications of such an
approach for biographical and prosopographical research
(section 4).
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. PolyCube: Visualizing Cultural Collections</title>
      <p>
        The PolyCube project revolves around the question, how
multiple data dimensions (i.e. space, categories, and
relations over time) can be presented in an integrated visual
manner to support users in gaining a better understanding
of a given collection—a ”more integrated mental model”.1
Due to its relevance, we put specific emphasis on the visual
integration of time-oriented data. In the cultural heritage
domain time has been shown to be a crucial data dimension
        <xref ref-type="bibr" rid="ref32 ref5">(Do¨ rk et al., 2017; Windhager et al., 2016)</xref>
        , which also
requires specific visual-analytical attention.
      </p>
      <p>
        Conventional visualizations of cultural collections
oftentimes build on ’coordinated multiple views’
        <xref ref-type="bibr" rid="ref30 ref36 ref37 ref8">(Windhager et
1https://donau-uni.ac.at/en/polycube
al., 2019a)</xref>
        , for instance combining a geographic map with
a timeline. These spatially separated representations are
reconnected via interaction methods, for instance by
techniques of coordinated highlighting or linking and brushing
        <xref ref-type="bibr" rid="ref24">(Roberts, 2007)</xref>
        . However, user studies comparing
coordinated views on space and time with more integrated
spatiotemporal views show that the latter are superior for the
identification of spatio-temporal patterns in the data
        <xref ref-type="bibr" rid="ref1 ref22">(Amini
et al., 2014; Mayr et al., 2018)</xref>
        . Against this backdrop,
the PolyCube project develops and evaluates spatially
integrated visualizations, which depict multiple data
dimensions in one visual representation. In the following we will
present two visualization approaches building on the
socalled space-time cube
        <xref ref-type="bibr" rid="ref11">(Ha¨gerstrand, 1970)</xref>
        . Space-time
cubes commonly integrate geographic and temporal data
dimensions (section 2.1), yet can be extended to integrate
also categorial and temporal data dimensions (section 2.2).
Finally, we discuss how the resulting representations can be
synthesized to an even higher-dimensional picture (section
2.3).
      </p>
      <sec id="sec-2-1">
        <title>2.1 Geographic Space-Time Cube</title>
        <p>
          Various visualization methods have been developed to
represent spatial and temporal data aspects in an integrated
fashion.2 In the following, we zoom in on geographic
space-time cube representations (in short geo-time cube),
which merge a map and a timeline in an orthogonal
fashion, to unfold a three-dimensional, cubic space
          <xref ref-type="bibr" rid="ref9">(Gatalsky
et al., 2004)</xref>
          . This technique thus allows to map the
spatiotemporal origins of cultural objects as a three-dimensional
point cloud
          <xref ref-type="bibr" rid="ref17 ref33 ref34 ref35">(Kraak, 2005; Windhager et al., 2018b)</xref>
          and
enables a direct (gestalt-perceptual) integration of spatial
and temporal information. Commonly, these point clouds
represent historical developments in an upward dynamic,
which orders the earliest objects at the bottom and arranges
the latest artifacts at the top (see figure 1).
        </p>
        <p>
          From a cognitive perspective, geographic space-time cubes
offer a specifically balanced design, by which temporal
and geographic origin are both mapped to a shared
display space, making temporal and spatial information
as2See the work of Krigl
          <xref ref-type="bibr" rid="ref18">stein et al. (2014</xref>
          ) for a review of the
advantages and disadvantages of different integrated visual
representations.
pects similarly salient via positional encoding.3
Evaluations confirm that space-time cube visualizations are easy to
use, are high in user experience
          <xref ref-type="bibr" rid="ref19">(Kristensson et al., 2009)</xref>
          ,
and are especially suited for the exploration of multivariate,
spatio-temporal patterns
          <xref ref-type="bibr" rid="ref1 ref16 ref22">(Amini et al., 2014; Kjellin et al.,
2010; Mayr et al., 2018)</xref>
          .
        </p>
        <p>
          In our implementation
          <xref ref-type="bibr" rid="ref22">(Mayr et al., 2018)</xref>
          , users can
interact with the geographic space-time cube by rotating the
view, zooming and panning, and selecting individual
objects for a close-up preview with details on demand.
        </p>
      </sec>
      <sec id="sec-2-2">
        <title>2.2 Categorial Space-Time Cube</title>
        <p>
          In cultural collections, categorization is an important
technique used to organize and delineate the parallel existence
of genres, motifs, movements, or topics. Cultural
categories or taxonomies thus group artifacts into set-typed
ensembles—which also develop over time. The strengths
of space-time cubes in supporting the temporal exploration
of larger datasets can also be leveraged for non-geographic
data structures
          <xref ref-type="bibr" rid="ref31">(Vrotsou et al., 2010)</xref>
          . As such, they offer
an effective solution to also visualize the dynamics of sets
and their subsets as intuitive visual shapes of time. In a
categorial space-time cube (in short:set-time cube) the data
plane does not visualize a geographical distribution of data
points, but an arrangement of multiple sets chronologically
ordered from the earliest at the bottom to the latest at the
top (see figure 2).
        </p>
        <p>
          To facilitate the interpretation of the temporal development
of individual sets, users can activate a ”hull” structure in our
implementation of a set-time cube, which connects the
geometrical vertices of each set over time. Missing data at one
point in time will show up as gap within this hull structure.
The shape of this hull allows users to easily trace the
temporal development according to the angle ( ) of sets and
shows basic flow patterns of set dynamics, such as
emergence, growth, diminution, and decline
          <xref ref-type="bibr" rid="ref33 ref34 ref35">(Windhager et al.,
2018b)</xref>
          . A user study confirmed this ability to support users
in tracing developments of different categories over time
          <xref ref-type="bibr" rid="ref26 ref37">(Salisu et al., 2019)</xref>
          .
        </p>
        <p>
          3Position as a visual variable is known to be the easiest to
decode by users
          <xref ref-type="bibr" rid="ref4">(Cleveland and McGill, 1984)</xref>
          .
        </p>
        <p>
          Furthermore, users can interact with the visualization by
(de-)activating the hull, rotating the view, zooming and
panning, highlighting one or two sets, and selecting individual
objects for a preview and details
          <xref ref-type="bibr" rid="ref26 ref37">(Salisu et al., 2019)</xref>
          .
        </p>
      </sec>
      <sec id="sec-2-3">
        <title>2.3 PolyCube: Coordinated Space-Time Cubes</title>
        <p>Similar to two-dimensional views, three-dimensional
representations can also be combined to form ”coordinated
space-time cubes”. As a coordinated assembly, multiple
cubes offer a spatially proximate depiction of the
temporal development of cultural collections in geographical and
categorical space-time. To support users in linking these
representations, interaction techniques (such as
simultaneous temporal or categorical filtering or highlighting in both
cubes) can help to explore parts of a collection in a
coordinated fashion. In the following we will outline, how such
a visual-analytical environment for object collections can
also be used to shed light on the life of historical actors—
and thus support the investigations of historians and
biographers.</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>3. Case Study: Charles W. Cushman</title>
      <p>As a use case, we focus on the life and work of Charles
Weever Cushman (1896-1972), who was a well-travelled
amateur photographer and U.S. citizen.4 Visitors to the
Cushman archive are introduced to his life with a short
biography, recollecting essential facts on his background and
activities.5 This text summarizes the rather sparse
information known about his life, and points out the need for further
enrichment by itself—a condition which applies for many
historical records of historical actors.</p>
      <sec id="sec-3-1">
        <title>3.1 Biography</title>
        <p>
          Charles W. Cushman was born in 1896 in the
American Midwest (Poseyville, IN), studied law and worked for
different companies close to Chicago. He was married
twice—in 1924 and 1970—and died on June 8, 1972.
Stations of his winded life-path led him to work for a railroad
office (1917), in the Navy during World War I (1918,
honorably discharged from reserves in 1921), for Lasalle
Extension University (1922-1928), for a statistics office
(19281932), and for a brewery company (1932-1937). From
1937 until 1942 he was ”not employed [...] and had no
permanent residence. Traveled extensively”
          <xref ref-type="bibr" rid="ref13">(Indiana
University, 2017)</xref>
          . During World War II, he worked at the
office of the Alien Property Custodian (1942-1944) and at the
war department in Chicago from 1944 onwards.
4We chose this individual because the collection of his oeuvre
is fully digitized, and well documented with metadata.
        </p>
        <p>5https://webapp1.dlib.indiana.edu/
cushman/overview/cushmanBio.jsp</p>
        <p>
          6Due to the design of the utilized GeoTime package
          <xref ref-type="bibr" rid="ref15 ref9">(Kapler
and Wright, 2004)</xref>
          , this space-time path is read from top to
bottom—as opposed to the other representations in this paper,
which follow the conventional bottom-up reading direction.
from his images, virtually nothing is known about Charles’
career and life”
          <xref ref-type="bibr" rid="ref13">(Indiana University, 2017)</xref>
          .
        </p>
        <p>
          It is not only for this blank period of Cushman’s life—but
also for an unknown and travel-intense segment between
1937 and 1942—that objects contained in his photography
collection can fill in rich information and shed light on his
biography7—and more general on life in the U.S. that
happen to see a massive economic, political and cultural
upswing in these times. Figure 3 models these two periods
of missing information as interruptions of Cushman’s
biographic pathway. While we also see a need to honestly
represent uncertain or missing data in many areas in such
an explicit fashion
          <xref ref-type="bibr" rid="ref33 ref34 ref35">(Windhager et al., 2018a)</xref>
          , every
biographer firstly has to explore options how to complement
and enrich sparse data with additional information. Thus
our guiding question is: How can we complement existing
biographical data with implicit information or metadata,
inherent to existing archives of their lifework?
Other reflections on Cushman’s life and work
          <xref ref-type="bibr" rid="ref27 ref28 ref29">(Sandweiss,
2007a, 2012)</xref>
          confirm not only periods of missing
information, but also add knowledge about a very critical event in
Cushman’s life: On March 19, 1943, his suicidal wife Jean
shot two bullets into his head—and one in her own—and
both survived. From this external data point we derive the
additional question: How did this event influence his travel
activities and photographs?
        </p>
      </sec>
      <sec id="sec-3-2">
        <title>3.2 The Cushman Collection</title>
        <p>
          The Indiana University—to which Cushman bequeathed
his lifework—features a digitized collection of 14.500 of
Cushman’s Kodachrome photographs from 1938 to 1969
          <xref ref-type="bibr" rid="ref13">(Indiana University, 2017)</xref>
          . In this case study, we have a
closer look at a sample of about 2000 photographs taken
between the years of 1938 and 1955, with the aim (1) to
amend our knowledge of his biography in these years and
(2) to understand how the shooting in 1943 affected his
behavior.
        </p>
        <p>
          7As Martha Sandweiss (2007b) formulates it: ”Historians
more often confront the difficulties of interpreting images
without extensive biographical information on the photographer than
those of interpreting pictures in light of the photographers own
readings of them.” (p. 194)
Cushman consistently documented his activities by the
means of a travelogue, listing locations and dates for all
his photographs together with a short content description.
This information has been transcribed for all pictures, and
the resulting catalogue has been further enriched with
geocoordinate
          <xref ref-type="bibr" rid="ref18">s by Miriam Posner (2014</xref>
          ) and with
information on pictures’ subject content according to the
          <xref ref-type="bibr" rid="ref21">Library
of Congress (2010</xref>
          ) Thesaurus for Graphic Materials. As
such, each picture has been assigned to one primary and
multiple secondary genres (e.g., ”architectural”, ”identity”,
or ”landscape” photographs).
        </p>
      </sec>
      <sec id="sec-3-3">
        <title>3.3 Collection Visualization</title>
        <p>To gain a better understanding of Cushman’s photography
collection, we use the PolyCube system to visualize the
geographical and categorial patterns of the photographs with
their temporal developments between 1938 and 1955. We
will first discuss the geo-temporal dispersion of the
photographs as indicator of Cushman’s travel activities, and
emphasize new information which they provide to fill a
good part of both blank periods in figure 3. Then we
will take a closer look at the categorial-temporal
developments within the collection, before we finally demonstrate
how even higher-dimensional questions can be explored by
means of coordinated multiple cubes.</p>
      </sec>
      <sec id="sec-3-4">
        <title>Travel Activities</title>
        <p>
          Figure 4 introduces a geographic space-time cube
representation of Cushman’s photographs between 1938 and 1955.
In this representation, early photographs are shown at the
bottom (violet) and the latest ones at the top (yellow). The
widely scattered positions of the pictures near the bottom
document Cushman’s extensive travels through the United
States between 1938 and 1942. For this period of time,
the online biography just recites Cushman’s own statement
on his application form for Federal Employment: ”Not
employed during this period and had no permanent
residence. Traveled extensively. Looked after personal
interests, principal of which was interest in contract of sale of
Drewry’s business”
          <xref ref-type="bibr" rid="ref13">(Indiana University, 2017)</xref>
          . By contrast,
the meticulous metadata of his photographs fills in a rich
and detailed pattern of coast-spanning movements, which
reminds the observer of trips recorded by modern
satellite navigation. By rotating the cube, digital biographers
can explore these travel patterns from different perspectives
and can see Cushman visiting the West Coast (1938, 1940),
the Midwest (1938, 1939, 1940), Florida (1939), and the
East Coast (1939, 1940, 1941). Sandweiss (2012) argues
that these trips ”represented Charless attempt either to take
Jeans mind off her troubles or, quite differently, to give
himself a break from the tensions of daily life together”
(p. 126).
        </p>
        <p>
          From 1943 onward, Cushman remains quite stationary
within the Chicago region—even after his federal
employment in the War Department of the Chicago ordnance
district ended. An obvious explanation could be the
shooting and his wife’s following hospitalization at a sanitarium
in Oconomowoc, WI
          <xref ref-type="bibr" rid="ref27 ref28">(Sandweiss, 2007a)</xref>
          , which is
documented with pictures in the collection until June 1950. At
the end of 1951, the couple left Chicago and again show
similar travel activity to the beginning of the visualized
period—if not even more: They undertook several road
trips, along the Southwest to the West Coast and through
the Midwest. In 1952, the couple moved to San Francisco
and in several road trips explored the surrounding regions
and national parks, during which Cushman took the picture
of Jean in Badwater, CA (see figure 4, left).
        </p>
      </sec>
      <sec id="sec-3-5">
        <title>Photography Genres</title>
        <p>
          Figure 5 depicts a categorial set-time cube representation
of the same corpus selection based on the primary genres
of the photographs. The visualization shows that across all
photographic categories, Cushman took the fewest pictures
in the year 1943. Their number increased again over the
following years, with an especially high number in 1952—
the year the couple moved over to the west coast.
With an activated hull structure, the set-time cube makes
the main subject of Cushman’s pictures visible as they
develop over time. While he took a wide variety of
photographs before the shooting, the gaps in 1943 indicate that
he took only ”snapshots” (dark green in figure 5,
”landscape” (red) and ”identification photographs” (light orange,
which also mainly contained plants and buildings) and
did not regain his full variety until 1946. A category of
photographs he hardly used after 1942 are ”glamour
photographs” (in light blue on the right in figure 5).
Similar to 1943, in the year 1948, a gap within many
genres can be observed. Studying the archive’s biography
          <xref ref-type="bibr" rid="ref13">(Indiana University, 2017)</xref>
          and other publications
          <xref ref-type="bibr" rid="ref27 ref28 ref29">(Sandweiss,
2007a; Sandweiss, 2012)</xref>
          we could not identify any critical
events in Cushman’s private or professional life that explain
this temporal rupture. But the similarity of this pattern to
the constellation in 1943 suggests, that another important
event could have happened within this period that curbed
his creative urge—and maybe also influenced his decision
to take up his travel activities again in 1951.
        </p>
      </sec>
      <sec id="sec-3-6">
        <title>Space, Time, and Genres</title>
        <p>
          The PolyCube framework also offers a parallel setup of
”coordinated multiple cubes”, which allows to use the
photographic genres as filters for the geo- and the set-time
cubes to explore more specific questions. To illustrate this
option, we took a closer look at landscape photographs that
show an initial decline in numbers in 1942 and increase
massively again in 1952 (Figure 6, right). Selecting this
category we can zoom and filter on this subset of
landscape pictures, and explore their spatio-temporal
distribution (Figure 6, left). A large number of landscape
photographs was taken at the West Coast especially in 1954
and 1952 as well as in the Middle West in those years.
The amount of landscape photographs during Cushmans
earlier years is linked to his travel activities as well.
Doing the same analysis with other categories, we can deduce
that Cushman took the largest number of architectural and
cityscape photographs during his time in the Chicago area.
Though this might not be surprising and evokes the image
of a contemporary tourist, this analysis points to a simple
fact: As Cushman was an amateur photographer the
subjects he chose were not dependent on any professional
focus or on his clients demands, but on his own interests. ”He
crafted an extraordinarily complete inner world from the
fragments of life that he found around him, a world defined
more in terms of his own experiences than in the service of
a search for a hidden essence or an unknowable design”
          <xref ref-type="bibr" rid="ref29">(Sandweiss, 2012, p. 212)</xref>
          . Additionally, he was wealthy
enough to allow for extensive private journeys and used the
opportunities provided by his travel activities to choose his
motifs.
        </p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Discussion</title>
      <p>With this paper, we explored the potential of a visualization
method for time-oriented collection data to enrich the
historians and biographers methods portfolio. Deliberately
going beyond one-dimensional data portraits, it provides the
means for an integrated ”distant and close reading”
inspection of large cultural collections from two time-oriented
macroanalytical perspectives.</p>
      <p>In a case study on the American amateur photographer
Charles W. Cushman, we showed both how object data can
fill in periods of lacking biographical knowledge, and more
specifically, how the development of a collection could be
inspected for consequences of critical life events—on a
geographic and on a categorial level. We also discussed how
the pictures show no direct connection to Cushman’s
professional life and rather appear as a resource for further
exploration and understanding of his private life.</p>
      <p>As with many case studies in the digital humanities realm,
we consider the results to indicate a possible general
application area, while remaining a local exploration until
further notice. Obviously, due to the idiosyncratic data
structures in historical fields of study, the analytical
avenues generated in this case study cannot be directly
transferred to other archives or other people’s lifework
collections. However, due to the wide-spread use of temporal,
geographic, and categorial descriptors, we consider the
PolyCube framework to provide a relevant macroanalytical
extension for biographical research. Distant reading or
viewing approaches like the ones discussed in this paper offer
dynamic overviews on large archival collections. These
representations again enable users (1) to identify and
interpret basic patterns within a lifework collection on an
macroanalytical level and (2) to identify objects of
interest for more detailed investigation, e.g. with traditional
arthistorical, formal, or also critical-interpretative means.</p>
      <sec id="sec-4-1">
        <title>4.1 Limitations</title>
        <p>Visualizations obviously depend on digitized content and
can represent only those events of a biography, where
corresponding data or documents exist already in a digital
format. Thus, for the purpose of extended biographical
research, our inspected data selection (from 1938 to 1955)
would require a substantial extension—for example, with
information on events which happened before and after our
archival sample. Also information on critical life events
might have been omitted from the official biography on
purpose—and thus would require additional investigation
and corroboration.</p>
        <p>
          We consider the added value of visual analytical
approaches to historical records to generally hinge on a
minimum level of data quality and data specifity. Only very few
historical object or lifework collections lend themselves as
a completive source for the creation of high resolution
portraits. For this purpose, only specific artifact collections
provide either detailed or consistent enough documentation
in multiple metadata dimensions (such as on time of origin,
place of origin, category) for each object. From a
generalization point of view, this is no negligible restriction, as
only modern technologies generate these inscriptions
reliably by themselves (e.g., digital photography)—and only
few artists pay attention to meticulously document the
circumstantial or contextual conditions of their creations.
In all other cases, uncertainty and incompleteness of
collection data is a major challenge—and visualization has to
find new ways to cope with these standard conditions of
historiographic data—and the humanities’ knowledge
consistency in general
          <xref ref-type="bibr" rid="ref30 ref33 ref34 ref35 ref36 ref37">(Windhager et al., 2018a; Windhager et
al., 2019b)</xref>
          . Some of the main uncertainty types
encountered in the Cushman collection include blurry dates of
origins (e.g., time periods of many months), missing or
imprecise location (e.g. ”United States”), and photographs
assigned to no or multiple genres. Techniques which we
applied to deal with uncertain categorization included a
”no category”-category, which holds all images without a
genre, and to visualize intersections between the genres to
also show more complex affiliations to primary and
secondary genres
          <xref ref-type="bibr" rid="ref26 ref37">(Salisu et al., 2019)</xref>
          . Many further
techniques to encode temporal, spatial and categorial
uncertainty are available
          <xref ref-type="bibr" rid="ref30 ref33 ref34 ref35 ref36 ref37">(Windhager et al., 2018a; Windhager
et al., 2019b)</xref>
          , but designers of visual-analytical systems
will also be well advised, to find elegant trade-offs between
the wide-spread omission of uncertainty - and the imminent
risk of overburdening interfaces with visual complexity.
Moreover, caution and special expertise are needed when
interpreting digital collections of photographs as historical
documents both from a distant and close viewing
perspective
          <xref ref-type="bibr" rid="ref27 ref28 ref7">(Sandweiss, 2007b; Drucker, 2017)</xref>
          . Close-up
interpretation is well-known to be a multipolar process, where the
meaning of an artifact is constantly co-constructed by
historians, artists, and both their surrounding social and cultural
contexts. On the aggregated, macroanalytical level, the
digital remediation of photographs can lead to a loss of
information in comparison to the original artifact or viewing
context, and frequently also to a loss of critical
hermeneutical distance
          <xref ref-type="bibr" rid="ref6">(Drucker, 2013)</xref>
          . Archives can be
fragmentary or biased (e.g. based on the specific interest of the
collector), and they frequently allow only a limited view
on a body of work. Thus also visualizations should be
explored with critical caution when biographical information
is deduced, or even inspected for their invisible and un-seen
parts
          <xref ref-type="bibr" rid="ref10">(Glinka et al., 2015)</xref>
          .
        </p>
      </sec>
      <sec id="sec-4-2">
        <title>4.2 Outlook</title>
        <p>Going one step further, biography visualizations (depicting
a person’s direct spatio-temporal trajectory like in figure 3)
and lifework visualizations (depicting objects like in
figure 4 and 5) could be beautifully combined to shed light
on each other. Future work on the PolyCube framework
will aim for the simultaneous and consistent visualization
of both types of complex dynamics. In our analysis of the
Cushman collection, we found it very useful for our
interpretation of his lifework to relate the photographs to events
in Cushman’s life. But at other points, we figured that
the lifework collection can provide us with information
going beyond the biographical knowledge—e.g., giving more
detailed information on his travel activities or changes in
Cushman’s photographic interests, which could hint at
another (yet unknown) critical event in his life.</p>
        <p>
          We consider such contextually rich and transactional
approaches to interpretation to be of relevance in multiple
history-oriented knowledge domains. Even ongoing
debates with proponents of a ”new criticism”-style focus on
objects or ”texts themselves” seem to benefit from the
emergence of these novel methodological options, as they
help both micro- and macroanalytical sides to redefine and
recalibrate their positions—including the development of
research programs which systematically aim to intertwine
and mediate the best of both interpretive worlds
          <xref ref-type="bibr" rid="ref12 ref14 ref7">(Hickman
and McIntyre, 2012; Drucker, 2017; Ja¨nicke et al., 2015)</xref>
          .
In the H2020 project InTaVia (https://intavia.
eu, 2020-2023), we currently develop such visualization
approaches for historical and prosopographical research
purposes—to combine, contrast, and compare the
biographies and lifeworks of multiple persons of interests.
Persons can be linked by objects (like documented by their
correspondence or also by group portraits), by events (like
meetings or exhibitions), or by other relations (like
studentteacher or family relationships). We design multiple
visualization perspectives—for the representation of
geotemporal and categorial-temporal patterns as presented in
this paper, but also for relations, time and further data
dimensions—to facilitate the analysis and communication
of data on tangible cultural objects, contextualized by
intangible cultural information from biographies. Such a
multi-perspective visualization framework can further be
enriched with options of close reading of textual
biographical accounts and close viewing of objects and their
descriptions. (Combinations of) geographical, categorial,
relational and temporal visualizations then can mutually
recontextualize a source text and thereby instantiate a
multimodal, narrative framework of cultural and biographical
knowledge exploration and communication.
        </p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>5. Acknowledgements</title>
      <p>This research was supported by a grant from the
Austrian Science Fund (FWF), project number P28363-G24,
from the NFB, project number SC16-032, and the
European Union H2020 research and innovation programme
under grant agreement No. 101004825.</p>
    </sec>
  </body>
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