User Experience for Non-Expert Audiences in Data Exploration

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dc.contributor.authorTylosky, Natasha
dc.contributor.authorKnutas, Antti
dc.contributor.authorQureshi, Majad
dc.contributor.authorWolff, Annika
dc.date.accessioned2023-05-31T20:35:08Z
dc.date.available2023-05-31T20:35:08Z
dc.date.issued2023
dc.description.abstractData Exploration remains an untapped area of research, and as of yet few guidelines exist for how to design a data exploration tool. In this paper we conduct a qualitative study of a data exploration tool that has been created using a series of principles for designing data exploration systems for non-expert audiences. In the course of this study, we both evaluate the tool, dubbed the Data Explorer, and refine the design principles that it was based on.en
dc.identifier.doi10.1145/3593743.3593750
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4723
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 11th International Conference on Communities and Technologies
dc.subjectInteractive Data Visualization
dc.subjectDesign Principles
dc.subjectData Exploration
dc.subjectUser Experience
dc.subjectSensemaking
dc.titleUser Experience for Non-Expert Audiences in Data Explorationen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York, NY, USA
gi.citation.startPage12–16
gi.conference.locationLahti, Finland

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C&T 2023: Proceedings of the 11th International Conference on Communities and Technologies