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dc.contributor.author
Feese, Sebastian
dc.contributor.author
Burtscher, Michael J.
dc.contributor.author
Jonas, Klaus
dc.contributor.author
Tröster, Gerhard
dc.date.accessioned
2021-05-06T13:08:28Z
dc.date.available
2017-06-11T15:20:37Z
dc.date.available
2021-05-06T13:08:28Z
dc.date.issued
2014-09-28
dc.identifier.issn
2192-1962
dc.identifier.other
10.1186/s13673-014-0015-9
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/96084
dc.identifier.doi
10.3929/ethz-b-000096084
dc.description.abstract
Teams are at the heart of today’s organizations and their performance is crucial for organizational success. It is therefore important to understand and monitor team processes. Traditional approaches employ questionnaires, which have low temporal resolution or manual behavior observation, which is labor intensive and thus costly. In this work, we propose to apply mobile behavior sensing to capture team coordination processes in an automatic manner, thereby enabling cost-effective and real-time monitoring of teams. In particular, we use the built-in sensors of smartphones to sense interpersonal body movement alignment and to detect moving sub-groups. We aggregate the data on team level in form of networks that capture a) how long team members are together in a sub-group and b) how synchronized team members move. Density and centralization metrics extract team coordination indicators from the team networks. We demonstrate the validity of our approach in firefighting teams performing a realistic training scenario and investigate the link between the coordination indicators and team performance as well as experienced team coordination. Our method enables researchers and practitioners alike to capture temporal and spatial team coordination automatically and objectively in real-time.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Wearable
en_US
dc.subject
Smartphone
en_US
dc.subject
Mobile behavior sensing
en_US
dc.subject
Network sensing
en_US
dc.subject
Team coordination
en_US
dc.subject
Team performance
en_US
dc.title
Sensing spatial and temporal coordination in teams using the smartphone
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Human-centric Computing and Information Sciences
ethz.journal.volume
4
en_US
ethz.journal.abbreviated
Hum.-centric comput. inf. sci.
ethz.pages.start
15
en_US
ethz.size
18 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Berlin; Heidelberg
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02634 - Institut für Elektronik / Institute for Electronics::03388 - Tröster, Gerhard (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02634 - Institut für Elektronik / Institute for Electronics::03388 - Tröster, Gerhard (emeritus)
ethz.date.deposited
2017-06-11T15:20:45Z
ethz.source
ECIT
ethz.identifier.importid
imp593652ca8218f60144
ethz.ecitpid
pub:150661
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-18T12:15:57Z
ethz.rosetta.lastUpdated
2021-02-14T12:31:47Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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