Nu-view: A visualization system for collaborative Co-located analysis of geospatial disease data

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dc.contributor.authorMasoodian, Masooden_NZ
dc.contributor.authorLuz, Saturninoen_NZ
dc.contributor.authorKavenga, Daviden_NZ
dc.coverage.spatialCanberra, Australiaen_NZ
dc.coverage.spatialCanberra, Australia
dc.date.accessioned2016-05-09T00:05:02Z
dc.date.available2016en_NZ
dc.date.available2016-05-09T00:05:02Z
dc.date.issued2016en_NZ
dc.description.abstractIn general, many factors contribute to the spread of diseases among populations over large geographical areas. In practice, analysis of these factors typically requires expertise of multidisciplinary teams. In this paper, we present a visualization system which aims to support the visual analytics process involving multidisciplinary teams of analysts in colocated collaborative settings. The current prototype system allows coupled and decoupled modes of interaction, using a combination of personal visualizations on private small displays and group visualizations on a shared large display. We have conducted preliminary fieldwork and a review study of this prototype with a group of medical experts who have provided feedback on the current system and suggestions for other usage scenarios, as well as further improvements. We found that our target user group have a generally positive attitude towards the use of a shared display with support for the suggested interaction modes, even though these modes are substantially different from the way their groups currently conduct synchronous collaboration, and that additional support for sharing image and textual data over the geospatial data layer may be required.en_NZ
dc.format.mimetypeapplication/pdf
dc.identifier.citationMasoodian, M., Luz, S., & Kavenga, D. (2016). Nu-view: A visualization system for collaborative Co-located analysis of geospatial disease data. In Proceedings of the ACSW ‘16 Australasian Computer Science Week Multiconference, 2-5 February, Canberra, Australia. New York, USA: ACM. http://doi.org/10.1145/2843043.2843374en
dc.identifier.doi10.1145/2843043.2843374en_NZ
dc.identifier.isbn9781450340427en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/10196
dc.language.isoen
dc.publisherACMen_NZ
dc.relation.isPartOfProceedings of the Australasian Computer Science Week Multiconferenceen_NZ
dc.rights© 2016 ACM. This is an author’s accepted revision of the work published in Proceedings of ACSW ‘16 the Australasian Computer Science Week Multiconference. http://dx.doi.org/10.1145/10.1145/2843043.2843374
dc.sourceACSW'16en_NZ
dc.titleNu-view: A visualization system for collaborative Co-located analysis of geospatial disease dataen_NZ
dc.typeConference Contribution
pubs.elements-id138415
pubs.finish-date2016-02-05en_NZ
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/FCMS
pubs.organisational-group/Waikato/FCMS/Computer Science
pubs.place-of-publicationNew York, USA
pubs.start-date2016-02-02en_NZ
pubs.volumeACM International Conference Proceeding Seriesen_NZ
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