Christodoulou, S, Tzagarakis, M, Karacapilidis, N et al. (3 more authors) (2014) Collaboration and decision making in data-intensive and cognitively-complex settings: Lessons learned from the dicode project. In: Karacapilidis, N, (ed.) Mastering data-intensive collaboration and decision making. Springer Science & Business Media , 213 - 226. ISBN 3319026127
Abstract
This chapter reports on practical lessons learned during the development of innovative collaboration and decision making support services in the context of the Dicode project. These lessons concern: (i) the methodology followed and process carried out for the development of the abovementioned Dicode services (ii) the facilitation and enhancement of collaboration and decision making in data intensive and/or cognitively complex settings, and (iii) related technological and integration issues. Detailed evaluation reports, interviews and discussions within the development teams, as well as analysis of the use of the developed services by end-users through the associated log files, provided valuable feedback for the formulation and compilation of these lessons. By sharing insights gained in the context of the Dicode project, this chapter aims to help people engaged in developing similar services.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Keywords: | Computers; collaboration; decision making; sense making; dicode workbench; dicode services; visualization; usability; software development; software integration |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Dec 2014 15:47 |
Last Modified: | 03 Nov 2016 01:07 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-02612-1_11 |
Status: | Published |
Publisher: | Springer Science & Business Media |
Identification Number: | 10.1007/978-3-319-02612-1_11 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81679 |