Název:	Show Me the GIFference! Using GIFs as Educational Tools
Autoři:	Amabili, Lorenzo Gröller, M. Eduard Raidou, Renata G.
Citace zdrojového dokumentu:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 57-66.
Datum vydání:	2024
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57377
ISSN:	2464–4625 (online) 2464–4617 (print)
Klíčová slova:	data-GIF;vizualizační vzdělávání;úskalí návrhu vizualizace;designová studie;informační vizualizace
Klíčová slova v dalším jazyce:	data-GIF;visualization education;visualization design pitfalls;design study;information visualization
Abstrakt v dalším jazyce:	We investigate the use of data-GIFs, i.e., graphics interchange format files containing short animations, to engage visualization viewers in learning about data visualization design pitfalls. A large number of data visualizations— among which, also several with bad data designs—are generated every day to convey information to lay audiences. To support non-expert viewers in recognizing common visualization design mistakes, we propose data-GIFs. Data GIFs are short educational animations played in automatic repetition with a single core message on how the design flaws of a given visualization can be identified. After defining what bad data visualization design entails, we inform the design requirements for the data-GIFs. We, subsequently, design four variants: two data-GIFs, which use respectively interchangeability and smooth transitions, a static variant with juxtaposition, and a data-video approach with audio. In a controlled user study with 48 participants, we compare the four variants. We demonstrate that interchangeability and smooth transitions effectively support viewers in assessing why elements characterizing bad data visualizations are indeed bad. Yet, smooth transitions are more engaging, and data-videos are more efficient for the identification of differences between bad and good data visualization designs
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2024: Full Papers Proceedings

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.