Towards a Task-based Guidance in Exploratory Visual Analytics

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Exploring large datasets and identifying meaningful information is still an active topic in many application fields. Dealing with large datasets is currently not only a matter of simply collecting and structuring data for retrieval, but sometimes it also requires the provision of adequate means for guiding the user through the exploration process. Visualizations have shown to be an effective method in this context, the reason being that since they are grounded on visual cognition, people understand them and can naturally perform visual operations such as clustering, filtering and comparing quantities. However, systems which help us to create visualizations often require specific knowledge in data analysis, which ordinary users typically do not possess. To address this gap, we propose a system that guides the user in the data analysis process. To achieve this, the system observes current user behavior, tries to infer the task of the user and recommends the next analysis steps to help her to carry out the task.

Originalspracheenglisch
TitelProceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
Redakteure/-innenTung X. Bui
Herausgeber (Verlag)IEEE Computer Society
Seiten1466-1474
Seitenumfang9
BandVolume 2020-January
ISBN (elektronisch)978-099813314-0
PublikationsstatusVeröffentlicht - 5 Jan. 2021
Veranstaltung54th Annual Hawaii International Conference on System Sciences: HICSS 2021 - Virtual, Online, USA / Vereinigte Staaten
Dauer: 4 Jan. 20218 Jan. 2021

Publikationsreihe

NameProceedings of the Annual Hawaii International Conference on System Sciences
Band2020-January
ISSN (Print)1530-1605

Konferenz

Konferenz54th Annual Hawaii International Conference on System Sciences
Land/GebietUSA / Vereinigte Staaten
OrtVirtual, Online
Zeitraum4/01/218/01/21

ASJC Scopus subject areas

  • Ingenieurwesen (insg.)

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