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dc.contributor.author
Ancona, Marco
dc.contributor.author
Beyeler, Marilou
dc.contributor.author
Günther, Tobias
dc.contributor.author
Gross, Markus
dc.date.accessioned
2021-02-05T08:43:29Z
dc.date.available
2020-01-24T15:17:26Z
dc.date.available
2020-01-30T12:04:32Z
dc.date.available
2021-02-05T08:43:29Z
dc.date.issued
2021-03-01
dc.identifier.issn
1077-2626
dc.identifier.issn
1941-0506
dc.identifier.issn
2160-9306
dc.identifier.other
10.1109/TVCG.2019.2941208
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/393911
dc.description.abstract
Corporate meetings are a crucial part of business activities. While numerous academic papers investigated how to make the scheduling process of meetings faster or even automatic, little work has been done yet to facilitate the retrospective reasoning about how time is spent on meetings. Traditional calendar applications do not allow users to extract actionable statistics although it has been shown that reflection-oriented design can increase the users’ understanding of their habits and can thereby encourage a shift towards better practices. In this paper, we present MineTime Insight , a tool made of multiple coordinated views for the exploration of personal calendar data, with the overarching goal of improving short and long-term scheduling decisions. Despite being focused on the working environment, our work builds upon recent results in the field of Personal Visual Analytics, as it targets users not necessarily expert in visualization and data analysis. We demonstrate the potential of MineTime Insight, when applied to the agenda of an executive manager. Finally, we discuss the results of an informal user study and a field study. Our results suggest that our visual representations are perceived as easy to understand and helpful towards a change in the scheduling habits.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling Decisions
en_US
dc.type
Journal Article
dc.date.published
2019-09-13
ethz.journal.title
IEEE Transactions on Visualization and Computer Graphics
ethz.journal.volume
27
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
IEEE trans. vis. comput. graph.
ethz.pages.start
1986
en_US
ethz.pages.end
1999
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03420 - Gross, Markus / Gross, Markus
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03420 - Gross, Markus / Gross, Markus
en_US
ethz.date.deposited
2020-01-24T15:17:33Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-02-05T08:43:43Z
ethz.rosetta.lastUpdated
2024-02-02T13:02:32Z
ethz.rosetta.versionExported
true
ethz.COinS
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