Orchestrating Overviews: A Synoptic Approach to the Visualization of Cultural Collections

Windhager, Florian; Salisu, Saminu; Schreder, Günther; Mayr, Eva

doi:10.16995/olh.276

Cited by 10 publications

(29 citation statements)

References 28 publications

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“…Uncertainty ((4) in Figure 1) comes along with various datafication procedures and thus affects all possible types of metadata, yet-according to our best knowledge-it has not been visualized and studied in multiple dimensions up to now. In general, while we find many visual interfaces in the area using multiple (coordinated) views to cover many data dimensions [28], there has been no orchestrated effort to better integrate these information dimensions with visual representations up to now [10], nor to integrate uncertainty in these visualizations for multiple data dimensions in a synoptic fashion. Consequently, also studies are missing which would evaluate the effect of multidimensional uncertainty visualization on sensemaking by expert and non-expert users.…”

Section: Related Workmentioning

confidence: 99%

“…While these techniques can be rather easily applied and implemented for single data dimensions, challenges of complex and combinatorial design emerge when an orchestrated implementation for synoptic interfaces is required [10,52]. In such a context, the design of these techniques has to be combined, aligned, and well-attuned to encode uncertainty as an additional layer in a consistent fashion.…”

Section: Uncertainty Encoding Techniquesmentioning

confidence: 99%

“…With the following considerations we will thus recollect related work (Section 2) and document a whole spectrum of data quality dimensions for cultural collections (Section 3). Building on this collection, we will explore how to handle this omnipresent variety of uncertainty challenges during the visualization design process-and showcase a conceptual assessment of techniques for the PolyCube framework of collection visualization [10], which aims to represent cultural data and its many uncertainties in a more synoptic and systematic fashion (Section 4). Finally, we will discuss related challenges and future work (Section 5).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exhibiting Uncertainty: Visualizing Data Quality Indicators for Cultural Collections

2019

Self Cite

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Uncertainty is a standard condition under which large parts of art-historical and curatorial knowledge creation and communication are operating. In contrast to standard levels of data quality in non-historical research domains, historical object and knowledge collections contain substantial amounts of uncertain, ambiguous, contested, or plainly missing data. Visualization approaches and interfaces to cultural collections have started to represent data quality and uncertainty metrics, yet all existing work is limited to representations for isolated metadata dimensions only. With this article, we advocate for a more systematic, synoptic and self-conscious approach to uncertainty visualization for cultural collections. We introduce omnipresent types of data uncertainty and discuss reasons for their frequent omission by interfaces for galleries, libraries, archives and museums. On this basis we argue for a coordinated counter strategy for uncertainty visualization in this field, which will also raise the efforts going into complex interface design and conceptualization. Building on the PolyCube framework for collection visualization, we showcase how multiple uncertainty representation techniques can be assessed and coordinated in a multi-perspective environment. As for an outlook, we reflect on both the strengths and limitations of making the actual wealth of data quality questions transparent with regard to different target and user groups.

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Section: Related Workmentioning

confidence: 99%

Section: Uncertainty Encoding Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exhibiting Uncertainty: Visualizing Data Quality Indicators for Cultural Collections

2019

Self Cite

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“…One of its main design strategies is to translate or mediate these different perspectives by seamless layout transitions, which are illustrated further down (Figures 7 and 8). The visualization system is currently developed as a web-based visual analytics environment and has been explored with regard to two application scenarios, including a case study on cultural heritage collection data [56] and another on biography data [57].…”

Section: Towards a Multi-perspective Interface For Narrative Visualizmentioning

confidence: 99%

“…The PolyCube system supports these operations of alternative spatiotemporal perspective taking and cognitive coupling by seamless canvas transitions (for a video demonstration, see https://youtu. be/PTsk-NROJhU) [56,67]. Figure 8 illustrates two of these transitions, leading from space-time cube to layer juxtaposition, and from juxtaposition to a superimposition perspective.…”

Section: Supporting the Cognitive Integration Of Multiple Perspectivesmentioning

confidence: 99%

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

Mayr

Windhager

2018

IJGI

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Stories are an essential mode, not only of human communication-but also of thinking. This paper reflects on the internalization of stories from a cognitive perspective and outlines a visualization framework for supporting the analysis of narrative geotemporal data. We discuss the strengths and limitations of standard techniques for representing spatiotemporal data (coordinated views, animation or slideshow, layer superimposition, juxtaposition, and space-time cube representation) and think about their effects on mental representations of a story. Many current visualization systems offer multiple views and allow the user to investigate different aspects of a story. From a cognitive point of view, it is important to assist users in reconnecting these multiple perspectives into a coherent picture-e.g., by utilizing coherence techniques like seamless transitions. A case study involving visualizing biographical narratives illustrates how the design of advanced visualization systems can be cognitively and conceptually grounded to support the construction of an integrated internal representation.

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Seeing what is not shown

Hengesbach

McInerny

Albuquerque

2022

IDJ

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Critical studies of data visualization often highlight how the reductive nature of visualization methods excludes data limitations and qualities that are crucial to understanding those data. This case study explores how a data visualization could express contingent, situated, and contextual facets of data. We examine how such data limitations might be surfaced and represented within visualizations through an interplay between the critique of an existing data visualization and the development of alternative designs. Based on a case study of urban tree data, we interrogate data limitations in relation to four different types of missingness: Incompleteness, Emptiness, Absence, and Nothingness. Our study enables reflections on how data limitations can be investigated using visualizations and considers the development of a critical visualization practice.

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Orchestrating Overviews: A Synoptic Approach to the Visualization of Cultural Collections

Cited by 10 publications

References 28 publications

Exhibiting Uncertainty: Visualizing Data Quality Indicators for Cultural Collections

Exhibiting Uncertainty: Visualizing Data Quality Indicators for Cultural Collections

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

Seeing what is not shown

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