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Verena Lechner
Verena Lechner
ZHAW Zurich University of Applied Sciences, School of Applied Linguistics, Institute of Applied
Verified email at zhaw.ch
Title
Cited by
Cited by
Year
What a line can say. Investigating the semiotic potential of the connecting line in data visualizations.
VE Lechner
Data visualization in society, 329-346, 2020
72020
Modality and Uncertainty in Data Visualizations: A Corpus Approach to the Use of Connecting Lines
VE Lechner
International Conference on Theory and Application of Diagrams, 110-127, 2020
62020
Arrows and their modern versions: narrativity signalled by lines in data visualizations
VE Lechner
Journal of Visual Literacy, 1-20, 2021
42021
Visualizing database-performance through shape, reflecting the development opportunities of radar charts
V Lechner, KH Weidmann
International Conference on Universal Access in Human-Computer Interaction …, 2015
22015
Visualisierung der Datenbank-Performance durch die methodische Verknüpfung von Grundlagen der Formwahrnehmung mit den Prinzipien des Radardiagramms
V Lechner, KH Weidmann, HO Mayer
12015
What makes an image worth a like on Instagram?: a computer vision and visual communication approach to the use of images in corporate and science communication of universities
V Lechner, W Weber, H Grabner, D Obrist
SACM Annual Conference/SGKM Jahrestagung 2022, Zürich, Schweiz, 21.-22 …, 2022
2022
Multimodal storytelling with data: a framework of narrative constituents in digital data visualizations
V Lechner, W Weber
Multimodales Erzählen in digitalen Medien. Gemeinsame Tagung der beiden …, 2022
2022
Meaningful lines: Social semiotic investigations of the graphical line, used as a connector in digital data visualizations
VE Lechner
07 Media, 2020
2020
Systematic Application of Circle-Similar Shapes to Visualize Database-Homogeneity in a Big Data Environment
V Lechner, KH Weidmann, I Hämmerle
International Conference of Design, User Experience, and Usability, 167-179, 2016
2016
Systematische Anwendung von kreisähnlichen Formen zur Visualisierung von Datenbank-Performance im Big Data-Umfeld
V Lechner, KH Weidmann, I Hämmerle
2016
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