| dc.contributor.author | Huth, Franziska | en_US |
| dc.contributor.author | Awad-Mohammed, Miriam | en_US |
| dc.contributor.author | Knittel, Johannes | en_US |
| dc.contributor.author | Blascheck, Tanja | en_US |
| dc.contributor.author | Isenberg, Petra | en_US |
| dc.contributor.editor | Byška, Jan and Jänicke, Stefan and Schmidt, Johanna | en_US |
| dc.date.accessioned | 2021-06-12T11:15:23Z | |
| dc.date.available | 2021-06-12T11:15:23Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 978-3-03868-144-1 | |
| dc.identifier.uri | https://doi.org/10.2312/evp.20211069 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/evp20211069 | |
| dc.description.abstract | We report on an online study that compares three different representations to show topic diversity in social media threads: a word-sized visualization, a background color, and a text representation. Our results do not provide significant evidence that people gain knowledge about topic diversity with word-sized visualizations faster than with the other two conditions. Further, participants who were shown word-sized visualizations performed tasks with equally few or only slightly fewer errors. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Human centered computing | |
| dc.subject | Empirical studies in visualization | |
| dc.subject | Visualization design and evaluation methods | |
| dc.title | Online Study of Word-Sized Visualizations in Social Media | en_US |
| dc.description.seriesinformation | EuroVis 2021 - Posters | |
| dc.description.sectionheaders | Posters | |
| dc.identifier.doi | 10.2312/evp.20211069 | |
| dc.identifier.pages | 13-15 | |
