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A Multi-layer Event Visualization for Exploring User Search Patterns in Literature Discovery with PUREsuggest

dc.contributor.authorRabsahl, Solveig
dc.contributor.authorBeck, Fabian
dc.date.accessioned2024-10-08T15:13:00Z
dc.date.available2024-10-08T15:13:00Z
dc.date.issued2024
dc.description.abstractUnderstanding user behavior is at the heart of user interface design, but can only be quantified to some extent. Qualitatively analyzing individual usage sessions is especially important in open-ended tasks like literature search. In this paper, we present a visual representation of logging data that provides the basis for an in-depth analysis and annotation of search and exploration sessions. The visualization was developed to evaluate the citation-based literature discovery tool PUREsuggest and is thus aimed at visualizing logging data of a literature search system. Events are represented on a timeline in different layers as bars and icon-based glyphs, and contextualized by the additional visualization of item states and active user-set search modifiers such as filters or keywords throughout the session. We demonstrate the applicability of the visualization by evaluating excerpts of two user sessions as an example.en
dc.identifier.doi10.1145/3670653.3677502
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44852
dc.language.isoen
dc.pubPlaceNew York, NY, USA
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of Mensch und Computer 2024
dc.subjectEvent Visualization
dc.subjectLiterature Search
dc.subjectUser Behavior
dc.titleA Multi-layer Event Visualization for Exploring User Search Patterns in Literature Discovery with PUREsuggesten
dc.typeText/Conference Paper
gi.citation.startPage408–412
gi.conference.locationKarlsruhe, Germany

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