Probing Projections

  • We introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-reduced data. Projection techniques generally aim to make a high-dimensional information space visible in form of a planar layout. However, the meaning of the resulting data projections can be hard to grasp. It is seldom clear why elements are placed far apart or close together and the inevitable approximation errors of any projection technique are not exposed to the viewer. Previous research on dimensionality reduction focuses on the efficient generation of data projections, interactive customisation of the model, and comparison of different projection techniques. There has been only little research on how the visualization resulting from data projection is interacted with. We contribute the concept of probing as an integrated approach to interpreting the meaning and quality of visualizations and propose a set of interactive methods to examine dimensionality-reduced data as well as the projection itself. The methods let viewers seeWe introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-reduced data. Projection techniques generally aim to make a high-dimensional information space visible in form of a planar layout. However, the meaning of the resulting data projections can be hard to grasp. It is seldom clear why elements are placed far apart or close together and the inevitable approximation errors of any projection technique are not exposed to the viewer. Previous research on dimensionality reduction focuses on the efficient generation of data projections, interactive customisation of the model, and comparison of different projection techniques. There has been only little research on how the visualization resulting from data projection is interacted with. We contribute the concept of probing as an integrated approach to interpreting the meaning and quality of visualizations and propose a set of interactive methods to examine dimensionality-reduced data as well as the projection itself. The methods let viewers see approximation errors, question the positioning of elements, compare them to each other, and visualize the influence of data dimensions on the projection space. We created a web-based system implementing these methods, and report on findings from an evaluation with data analysts using the prototype to examine multidimensional datasets.zeige mehrzeige weniger

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar
Metadaten
Verfasserangaben:Julian Stahnke, Marian DörkORCiD, Boris MüllerGND, Andreas Thom
DOI:https://doi.org/10.1109/TVCG.2015.2467717
ISSN:1941-0506
Titel des übergeordneten Werkes (Englisch):IEEE transactions on visualization and computer graphics
Untertitel (Englisch):Interaction Techniques for Interpreting Arrangements and Errors of Dimensionality Reductions
Verlag:IEEE
Verlagsort:New York, NY
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):01.06.2017
Jahr der Erstveröffentlichung:2016
Datum der Freischaltung:14.06.2017
GND-Schlagwort:Informationswissenschaft; Visualisierung; Interaktive Medien; Mehrdimensionalität
Jahrgang:22
Ausgabe / Heft:1
Erste Seite:629
Letzte Seite:638
Fachbereiche und Zentrale Einrichtungen:FB4 Design
Forschungs- und An-Institute / Inst. für angewandte Forschung Urbane Zukunft (IaF)
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke
Lizenz (Deutsch):License LogoCC - Namensnennung-Keine kommerzielle Nutzung-Weitergabe unter gleichen Bedingungen
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.