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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>St. Pölten,
Austria</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>A Review of Information Visualization Approaches and Interfaces to Digital Cultural Heritage Collections</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Florian Windhager</string-name>
          <email>florian.windhager@donau-uni.ac.at</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Paolo Federico</string-name>
          <email>federico@ifs.tuwien.ac.at</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Eva Mayr</string-name>
          <email>eva.mayr@donau-uni.ac.at</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Günther Schreder</string-name>
          <email>guenther.schreder@donau-uni.ac.at</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Michael Smuc</string-name>
          <email>michael.smuc@donau-uni.ac.at</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Danube University Krems</institution>
          ,
          <addr-line>Krems</addr-line>
          ,
          <country country="AT">Austria</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of Technology</institution>
          ,
          <addr-line>Vienna</addr-line>
          ,
          <country country="AT">Austria</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2016</year>
      </pub-date>
      <volume>2</volume>
      <fpage>4</fpage>
      <lpage>11</lpage>
      <abstract>
        <p>After decades of digitization, the web hosts a large scale museum, consisting of millions of digital cultural objects. To balance the drawbacks of parsimonious search-centric interfaces, various approaches have been developed to enable also visual access to these collections, and to browse and explore the cultural richness of existing archives. This paper reviews information visualization approaches to digital cultural heritage collections, reflects on prominent arrangement principles and design choices for digital collection interfaces, and points out options for future research.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>1. Introduction
From things making them smart (like tools,
achievements, or information artifacts), to things lifting
them up (art and entertainment) – cultures collect
things. To share and preserve them for future
generations, populations draw artful or useful objects
(like texts, images, material objects, concepts, music,
or films) together. These cultural heritage (CH)
collections (libraries, galleries, museums, archives)
contain notable works and objects – as well as
associated knowledge and data.</p>
      <p>With developing media technologies and
collaborations, large digital meta collections (e.g.
Copyright © by the paper’s authors. Copying permitted only for
private and academic purposes.
http://www.europeana.eu, http://trove.nla.gov.au/, or
http://dp.la/) have emerged, which aggregate cultural
heritage objects across institutions, domains, and
countries, and make the web the largest museum ever
around. Yet the situation is known to be rather bleak,
when it comes to actually accessing the collected riches
– not only, but especially for non-expert users, who
often have no idea what to expect in the digital
collection. The rampant problems with the widely
dominant search box approach to cultural object
collections have been thoroughly exposed and
discussed [BOP82, DCW11, THC12, Whi15].
Whitelaw retells the typical search-based visit to online
collections as a bizarre purchase order situation, where
the widely dominant information retrieval paradigm
over-successfully reduces data complexity (which in
the CH context is often appreciated as its own reward),
thus throwing the baby out with the bath water. Rather
than throwing the collection doors open and offering
multiple ways of access, visitors have to enter a drab
(search box) lobby, which asks them “yes, what?” –
and urges them to come up with demands towards the
unknown [Whi15].</p>
      <p>In contrast, more generous interfaces open up the
digital archives’ walls, tear down the drab lobbies, and
offer multiple ways in, where they foster free-roaming,
browsing and exploring, and support rich,
serendipitous discoveries [DCW11]. We build on the
multiply proven assumption, that information
visualization (InfoVis) methods and techniques can
strongly support such generous approaches. Yet
according to our best knowledge, no systematic
collection of InfoVis approaches to CH collections has
been undertaken until now. To close this gap, we
review related work and outline a possible
classification of InfoVis approaches and interfaces for
digital CH collections, which aims to consolidate the
growing research field and to inform future projects.
2 Design Patterns for Interfaces to Digital
Object Collections
If museums, libraries, or archives are the original
three-dimensional display spaces for cultural object
collections, their spatial arrangements are generated by
a minimum of standard layouts: parallel tableaus on
museum floors or in showcases, and linear
arrangements along walls or shelves, ordered mostly
due to the metadata dimensions of date, style, artist, or
place of origin. Procedures of digitization extend
cultural collections (complementing physical objects
with digital ones) – and put their visual arrangement on
digital display spaces up for renegotiation. For that
purpose, all available metadata dimensions could be
utilized – and furthermore encoded into novel
collection representations.</p>
      <p>Figure 1 illustrates the multitude of possible digital
object types (left), and a selection of prominent
metadata dimensions (right), with the latter being
usually formatted due to a given documentation
standard [Bac02]. This two-sided representation also
mirrors the common dual nature of digital ob jects,
duplicating an object into a realistic image of the object
(provided by a spatial layout-preserving scientific
visualization procedure), and a (semi)structured,
multidimensional metadata entry. While the realistic image
allows to study cultural objects in a close
upperspective, their accessibility in a larger collection is
either provided by a search functionality – or by
alternate, more generous approaches to interface
design, including a wide variety of InfoVis images and
methods. With interfaces thus taking over the role of
museums or exhibition halls, their design determines
an online collections’ accessibility and impact, and
should not be underestimated as a major factor for the
overall success of any arts and culture mediation
initiative.1 We focus on the question how to visualize
collection overviews and assemble relevant design
patterns in the following sections, which will provide
the categories for a more systematic recollection of
InfoVis interfaces further down.
2.1 Close-ups, Previews and Collection Overviews
Cultural object collections commonly contain much
more objects than could be displayed in a parallel
close-up perspective on a screen. This challenge is
commonly taken on by the design of macroscopic
collection overviews – and their connection to vertical
drill down and horizontal browsing options on demand
[DCW11, GMPS00].</p>
      <p>As a review of interfaces shows, collection
overviews are usually following one of three design
options: Whole object collections could be represented
as i) multitudes of miniature previews (thumbnails), or
1 Well knowing that the remote exploration of cultural
collections on screens still “doesn’t compare to being
there“ [RHQ14], digital interfaces mostly strive to augment
and enrich traditional in situ-interaction with collections.
This includes the design of approaches i) to provide
macroscopic perspectives on high-volume collections in
which patterns and relations become visible, ii) to extend
visitors’ working memory to grasp large, complex datasets
often for the first time, iii) to add to richer, contextualized
observations through linked data dimensions, or iv) to
reduce collectors’ and curators’ biases and to facilitate
more inclusive representations, suited for a broader user
group [Sul13, GMD15].
as ii) multitudes of abstracted visual marks only (e.g.
dots representing objects), whose arrangement
principles are laid out in section 2.2. As a third option
(iii), overviews can abstract from displaying separated
objects, but encode selected object attributes into the
visual variables of various diagrams (cf. 2.2.5), which
opens up the field for the use of a wide spectrum of
InfoVis methods, that can support further collection
exploration too.</p>
      <p>From a user and interaction perspective, overviews
feature as natural starting or entry points to a
collection. They provide initial orientation, and
commonly enable further operations of zooming,
filtering, and browsing to study details and close-ups
on demand. While these transitions between micro and
macro perspectives pose a central challenge for
interaction design, we turn to prominent arrangements
for macroscopic overviews first. As mentioned above,
this is where various dimensions of object metadata
(like place of origin, date of origin, artist, topics, or
styles) come into play.</p>
      <p>Figure 2 shows prominent arrangement principles
for collection overviews: While the center left column
features traditional ways of (multi)linear aggregations,
the center right column lists methods for the visual
encoding of spatial (i.e. cross-sectional, non-temporal)
metadata aspects. Here “spatial” not only refers to
geographic aspects of metadata, but also to their
distributions in algebraic or vector spaces.</p>
    </sec>
    <sec id="sec-2">
      <title>2.2 Encoding of Spatial Data Dimensions</title>
      <p>Following a distinction by Kerracher et al. [KKC14],
we distinguish methods of encoding spatial data
dimensions from encoding methods for temporal (i.e.
longitudinal) data aspects, which we consider to play a
crucial role for the omnipresent time-orientation of CH
collection data. Distributed across both sides of this
distinction, we refer to the most prominent traditional
spatial arrangement principle of object collections as
(multi)linear arrangements (2.2.1), which are also
frequently chosen for digital collection interfaces.</p>
    </sec>
    <sec id="sec-3">
      <title>2.2.1 Lists, Slideshows, Grids and Mosaics</title>
      <p>Mirroring the sequential arrangements in physical
exhibitions along walls or shelves, vertical lists or
horizontal slideshows arrange object collections in an
unilinear sequence of previews on computer screens
[IF:HTA]. As multilinear arrangements, grids and
mosaics arrange previews in multiple rows, to raise the
item-screen-ratio (Fig. 2, center left). In contrast to
physical hangings, the guiding aspect for (multi)linear
arrangements can often be freely chosen amongst
existing metadata dimensions, so that either date of
origin, alphabetical sequence, or even user metrics
(like item popularity) determine the visible sequence of
objects on screens [IF:GCI]. Furthermore, grids and
mosaics can be dynamized, so that tiles represent
object categories or subcollections and change their
content over time, to enable also passive contemplation
without clicking and scrolling [Whi15, para 39]. Going
beyond (multi)linear arrangements, several InfoVis
methods support the visual encoding and exploration
of spatial (non-temporal) data aspects for whole
collections.</p>
      <sec id="sec-3-1">
        <title>2.2.2 Geographic Maps</title>
        <p>As place of origin counts among the most frequently
documented data dimensions of cultural objects and
artifacts, geographic maps often serve as a
visualization method to show the spatial distribution of
artifacts’ origins [BGSvdB14, IF:DGB, TO:GBDE,
TO:PAL, TO:VS].</p>
      </sec>
      <sec id="sec-3-2">
        <title>2.2.3 Network Diagrams</title>
        <p>As for relational data (e.g. influences, references,
interartifact relations) network diagrams allow users to
explore the proximities and distances of artifacts or
cultural actors in relational or topological spaces
[HSC08, IF:DDBV, IF:ECB, IF:IA, IF:HG, IF:EDG,
TO:PAL].</p>
      </sec>
      <sec id="sec-3-3">
        <title>2.2.4 Set Diagrams</title>
        <p>Given different thematic or stylistic classifications of
cultural artifacts, set diagrams or treemaps offer
insights into categorically and often also hierarchically
structured object metadata constellations [XEJJ14,
UPM12, IF:PAN].</p>
      </sec>
      <sec id="sec-3-4">
        <title>2.2.4 Other Diagrams</title>
        <p>When overviews abstract from single objects and focus
on data distributions in different metadata dimensions,
a wide variety of further InfoVis diagrams can provide
overview on selected collection aspects, including area
charts [IF:SCE], ring charts [IF:DDBV], scatter plots
[Man09, ABO12, IF:CG], and many more.</p>
        <p>These different diagrams again could be integrated
into multiple coordinated views by CH collection
dashboards [UTA10]. As an interesting crossover
approach, diagrams could also be synthesized from
object previews, allowing for seamless micro-macro
transitions [IF:PVWF].</p>
      </sec>
      <sec id="sec-3-5">
        <title>2.3 Encoding of Temporal Data Dimensions</title>
        <p>While maps, networks, set and other diagrams provide
specific insights into spatial data aspects and
distributions, they initially offer static images for
aggregated data only. Yet with temporal aspects (like
date of origin) playing a crucial role in the domain of
CH data, most interfaces have to encode temporal
information too.</p>
      </sec>
      <sec id="sec-3-6">
        <title>2.3.1 (Linked) Timelines</title>
        <p>One prominent option is to represent time linearly,
which is done with linear timelines as singular views,
or with linked timelines, usually implemented as
coordinated temporal view in addition to spatial
representations [Kra16, IF:DGB, IF:HTA, IF:MOTW,
IF:NL, IF:PAN, TO:VS].</p>
      </sec>
      <sec id="sec-3-7">
        <title>2.3.2 Animation</title>
        <p>Further options for encoding temporal data aspects
build on the abovementioned spatial visualizations and
add temporal information in a hybrid, spatiotemporal
way. Among these, animation is frequently used,
mapping time to time [IF:DGB, IF:PAN].</p>
      </sec>
      <sec id="sec-3-8">
        <title>2.3.3 Superimposition</title>
        <p>Superimposition approaches merge multiple temporal
layers or snapshots into one visualization, with
temporal data aspects often being distinguished by
different colors [BGSvdB14], or visualization of
movement trajectories [TO:NL].</p>
      </sec>
      <sec id="sec-3-9">
        <title>2.3.4 Space-Time Cube</title>
        <p>Space-time cube representations build on 2D planes of
encoded spatial data dimensions (like maps or
networks), and map time to an additional spatial
dimension, i.e. the orthogonal z-axis. Cultural object
collections thus arrange as characteristically shaped 3D
point clouds, according to various spatio-temporal
layouts [Kra05, WMS*16].
2.4 Multi-Method Interfaces
As the assembly of approaches and interfaces in table 1
shows, multiple spatial encoding methods have already
been implemented in the CH data domain – often also
as multi-method interfaces to enable the combination
of different exploratory views on the data. The same
holds true for different temporal encoding methods: It
is well known that different temporal encoding
methods show different strengths and weaknesses. Due
to this reason, advanced InfoVis interfaces increasingly
combine multiple temporal and spatial encoding
techniques, to compensate their drawbacks and add up
their complementary benefits [KKC14]. This equals
the provision of multiple access points and overviews
[THC12], which form complementary composites,
revealing different “parallax” views of a collection
[Dru13]. Due to the relevance of this design principle,
the following collection primarily takes approaches
and interfaces into account which have been
implementing a multi-method approach.
3 Assembling Information Visualization
Approaches to Digital CH Collections
Table 1 provides an overview of prominent InfoVis
approaches to digital CH collections. Interfaces are
classified and specified according to four main
categories. While the first two categories make the
chosen spatial and temporal encoding methods visible
(cf. 2.2 und 2.3), the third column specifies the focus
of interest, which predominantly is either a certain type
of cultural objects, or a focus on cultural actors (FCA),
or a focus on cultural topics or styles. The fourth
column points out whether the approach is of
conceptual and prototypical nature, or whether it
provides an open, web-based interface [IF:XYZ] or a
tool [TO:XYZ], with which external DH collection
data could be visually explored [cf. Pos16].</p>
        <sec id="sec-3-9-1">
          <title>3.1 Interpretation</title>
          <p>While looking at single approaches helps to specify
their implemented combination of methods, parsing of
columns helps to explore the prominence of encoding
methods or object types. With regard to the overall
distribution, well-established InfoVis techniques can
be identified, as well as structural holes, which might
deserve closer attention by future interface design and
research. Exemplarily, the distribution of temporal
encoding methods shows a dominant use of (linked)
timelines, which again are known to evoke split
attention effects [AS05]. To reduce cognitive, load
more spatio-temporally integrated encoding techniques
like space time-cube representations could be tested.</p>
        </sec>
        <sec id="sec-3-9-2">
          <title>3.2 Limitations</title>
          <p>Aiming for the consolidation of the research field and
for orientation of future approaches, we are still aware
of two obvious limitations. As the interaction with
‘cultural object collections’ is investigated in multiple
academic domains, the current review is far from
exhaustive. Yet by highlighting and comparing recent
works and developments, we hope to lay ground for a
more systematic and critical discussion – as well as for
their future enrichment and refinement.</p>
          <p>Furthermore, we consider the chosen categories
of classification to be relevant from an InfoVis
methods perspective, but are aware of possible other
foci of attention. As such we exemplarily consider
interaction and navigation techniques to provide
productive categories or further analysis, as well as a
wide variety of ‘humanistic’ user experience and
design principles [Dru13, DCW12, Whi15], which
could help to shape the focus on relevant DH interface
functions and features with even more precision.
4. Conclusions and Outlook
We presented a review of InfoVis approaches and
interfaces to digital CH collections, and arranged
existing work by the means of a categorical
framework, which we submit for critical examination
and collective refinement.</p>
          <p>We expect the field of CH collection visualization
to further develop and diversify – not least due to the
fact that the world wide web renders itself ever more
indispensable as a medium for knowledge
communication. Despite restricted budgets of local
collectors and institutions, efforts for digitization and
dissemination will continue, as will the development of
web-based interfaces.</p>
          <p>From an InfoVis perspective, we consider the field
of CH data, users and tasks, to be a specifically
productive one, revolving around grand design
challenges. While CH data is often characterized by
massively heterogeneous and time-oriented data
complexity, its audiences approach it with
heterogeneous, underspecified tasks [MFM*16].
Besides the consideration of well-known principles of
graphical excellence, such casual users require also
more aesthetics-oriented, entertaining approaches. In
contrast to principles of parsimonious design and
complexity minimization, the preservation of aesthetic
complexity and diversity matter in the CH domain, and
non-conclusive explorations provide their own reward.
Therefore, the value of methods supporting horizontal
browsing, multiple access points and serendipitous
insight creation is ranging high. This makes CH data a
challenging research field, expanding and enriching the
scope of consolidated playing fields for InfoVis
research far beyond expert-oriented professional
applications.</p>
          <p>Furthermore, we expect new options for interface
design to emerge from the expansion and pervasion of
linked data in the CH realm [KAR15, IF:CS], as well
as the utilization of user data, which will open up new
ways to weigh, highlight, recommend, and tailor
interfaces for general audiences and specific user
groups alike.</p>
          <p>From a systematic point of view – which might be
most relevant because of its didactic implications – we
hope for a continued discussion and consolidation
process to accompany the outlined developments. We
consider such macroscopic reflections not only to be
relevant for integrating the state of the art on academic
grounds (informing new directions and approaches),
but also for introducing visitors to the workings of
their new online museums and archives. In contrast to
traditional encounters with culture collections, their
experiences and learnings will also depend on their
ability to comprehend and master the powerful (re-)
arrangement, encoding and interaction techniques,
which new interfaces are already providing us with.
Acknowledgements
This research has been supported by the Austrian
Science Fund (FWF), Project No. P28363</p>
          <p>CH InfoVis Web-Interfaces
[IF: CG] Culturegraphy
[IF:CS] CultureSampo</p>
          <p>URL: http://www.culturegraphy.com/
URL: http://www.kulttuurisampo.fi/?lang=en
[IF:ECB] eclap-Browser / Social Graph</p>
          <p>URL: http://www.eclap.eu/portal/
[IF:EDG] Edgemaps [FCA]</p>
          <p>URL: http://mariandoerk.de/edgemaps/demo/
[IF:HG] histograph</p>
          <p>URL: http://histograph.cvce.eu/
[IF:HTA] Heilbrunn Timeline of Art History | The MET
URL:
http://www.metmuseum.org/toah/chronology/
[IF:KB] Kindred Britain [FCA]</p>
          <p>URL: http://kindred.stanford.edu/
[IF:MOTW] Museum of the World
[IF:PAN] Pantheon [FCA]
[IF:ROL] Republic of Letters [FCA]</p>
          <p>URL: http://ink.designhumanities.org/dalembert/
[IF:SCE] SelfieExploratory | SelfieCity</p>
          <p>URL: http://selfiecity.net/selfiexploratory/
CH InfoVis Tools
[TO:IPS] ImagePlot Suite</p>
          <p>URL:
http://lab.softwarestudies.com/p/softwarefor-digital-humanities.html
[TO:NL] Neatline | Omeka</p>
          <p>URL: http://neatline.org/
[TO:PAL] Palladio</p>
          <p>URL: http://hdlab.stanford.edu/palladio/#/
[TO:VS] ViewShare</p>
          <p>URL: http://viewshare.org/</p>
        </sec>
      </sec>
    </sec>
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