AIDA-Vis – Automatic Data Visualization with Human Preferences
| dc.contributor.author | Laurito,Walter | |
| dc.contributor.author | Höllig,Jacqueline | |
| dc.contributor.author | Lachowitzer,Jonas | |
| dc.contributor.author | Thoma,Steffen | |
| dc.contributor.author | Budde,Matthias | |
| dc.contributor.author | Philipp,Patrick | |
| dc.contributor.editor | Demmler, Daniel | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Federrath, Hannes | |
| dc.date.accessioned | 2022-09-28T17:10:21Z | |
| dc.date.available | 2022-09-28T17:10:21Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Data visualization is a complex task that typically requires human expertise, acquired through a large number of professional working hours. The automatic generation of reasonable visualizations would be a good solution for inexperienced laypeople. However, existing approaches fall short since they are quite static and rely only on traditional supervised learning. This results in models which recommend a single visualization solely based on the dataset features. User preferences and goals are not taken into account. We propose a more flexible solution that is iteratively updated with the individual user's preferences and outputs a ranked list of visualizations for a given dataset. | en |
| dc.identifier.doi | 10.18420/inf2022_27 | |
| dc.identifier.isbn | 978-3-88579-720-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39525 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-326 | |
| dc.subject | Visualization Recommendation | |
| dc.subject | Automated Visualization Design | |
| dc.subject | Machine Learning | |
| dc.subject | Human Preferences | |
| dc.subject | Reinforcement Learning | |
| dc.subject | Evolutionary Algorithm | |
| dc.subject | Reward Learning | |
| dc.title | AIDA-Vis – Automatic Data Visualization with Human Preferences | en |
| gi.citation.endPage | 305 | |
| gi.citation.startPage | 301 | |
| gi.conference.date | 26.-30. September 2022 | |
| gi.conference.location | Hamburg | |
| gi.conference.sessiontitle | Künstliche Intelligenz für kleine und mittlere Unternehmen (KI-KMU 2022) |
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