Discussion Flows: An Interactive Visualization for Analyzing Engagement in Multi-Party Meetings

dc.contributor.authorWang, Taoen_US
dc.contributor.authorKeck, Mandyen_US
dc.contributor.authorVosough, Zanaen_US
dc.contributor.editorAgus, Marco and Garth, Christoph and Kerren, Andreasen_US
dc.date.accessioned2021-06-12T11:03:33Z
dc.date.available2021-06-12T11:03:33Z
dc.date.issued2021
dc.description.abstractEngagement in multi-party meetings is a key indicator of outcome. Poor attendee involvement can hinder progress and hurt team cohesion. Thus, there is a strong motivation for organizations to better understand what happens in meetings and improve upon their experience. However, analyzing multi-party meetings is a challenging task, as one needs to consider both verbal exchanges and meeting dynamics among speakers. There is currently a lack of support on these unique tasks. In this paper, we present a new visual approach to help analyze multi-party meetings in industry settings: Discussion Flows, a multi-level interactive visualization tool. Its glyph-based overview allows effortless comparison of overall interactions among different meetings, whereas the individual meeting view uses flow diagrams to convey the relative participation of different speakers throughout the meeting agenda in different levels of details. We demonstrate our approach with meeting recordings from an open source dialogue corpora and use them as the benchmark dataset.en_US
dc.description.sectionheadersAnalytics and Applications
dc.description.seriesinformationEuroVis 2021 - Short Papers
dc.identifier.doi10.2312/evs.20211060
dc.identifier.isbn978-3-03868-143-4
dc.identifier.pages85-89
dc.identifier.urihttps://doi.org/10.2312/evs.20211060
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20211060
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectInformation visualization
dc.subjectVisualization techniques
dc.subjectInteractive systems and tools
dc.titleDiscussion Flows: An Interactive Visualization for Analyzing Engagement in Multi-Party Meetingsen_US
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