Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams

Marjanovic, O; Patmore, G; Balnave, N

Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams

Marjanovic, O

Patmore, G Balnave, N

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Information Systems Frontiers, 2022
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Marjanovic, O https://orcid.org/0000-0001-8362-0982
dc.contributor.author	Patmore, G
dc.contributor.author	Balnave, N
dc.date.accessioned	2023-04-21T04:26:33Z
dc.date.available	2023-04-21T04:26:33Z
dc.date.issued	2022-01-01
dc.identifier.citation	Information Systems Frontiers, 2022
dc.identifier.issn	1387-3326
dc.identifier.issn	1572-9419
dc.identifier.uri	http://hdl.handle.net/10453/170063
dc.description.abstract	Today’s complex problems call for multidisciplinary analytics teams comprising of both analytics and non-technical domain (i.e. subject matter) experts. Recognizing the difference between data visualisaion (DV) (i.e. static visual outputs) and visual analytics (VA) (i.e. a process of interactive visual data exploration, guided by user’s domain and contextual knowledge), this paper focuses on VA for non-technical domain experts. By seeking to understand knowledge sharing from VA experts to non-technical users of VA in a multidisciplinary team, we aim to explore how these domain experts learn to use VA as a thinking tool, guided by their knowing-in-practice. The research described in this paper was conducted in the context of a long-term industry-wide research project called the ‘Visual Historical Atlas of the Australian Co-operatives’, led by a multidisciplinary VA team who faced the challenge tackled by this research. Using Action Design Research (ADR) and the combined theoretical lens of boundary objects and secondary design, the paper theorises a three-phase method for knowledge transfer, translation and transformation from VA experts to domain experts using different types of VA-related boundary objects. Together with the proposed set of design principles, the three-phase model advances the well-established stream of research on organizational use of analytics, extending it to the emerging area of visual analytics for non-technical decision makers.
dc.language	English
dc.publisher	SPRINGER
dc.relation	http://purl.org/au-research/grants/arc/DP170100573
dc.relation.ispartof	Information Systems Frontiers
dc.relation.isbasedon	10.1007/s10796-022-10310-4
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0806 Information Systems
dc.subject.classification	Information Systems
dc.title	Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams
dc.type	Journal Article
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-21T04:26:32Z
pubs.publication-status	Published

Abstract:

Today’s complex problems call for multidisciplinary analytics teams comprising of both analytics and non-technical domain (i.e. subject matter) experts. Recognizing the difference between data visualisaion (DV) (i.e. static visual outputs) and visual analytics (VA) (i.e. a process of interactive visual data exploration, guided by user’s domain and contextual knowledge), this paper focuses on VA for non-technical domain experts. By seeking to understand knowledge sharing from VA experts to non-technical users of VA in a multidisciplinary team, we aim to explore how these domain experts learn to use VA as a thinking tool, guided by their knowing-in-practice. The research described in this paper was conducted in the context of a long-term industry-wide research project called the ‘Visual Historical Atlas of the Australian Co-operatives’, led by a multidisciplinary VA team who faced the challenge tackled by this research. Using Action Design Research (ADR) and the combined theoretical lens of boundary objects and secondary design, the paper theorises a three-phase method for knowledge transfer, translation and transformation from VA experts to domain experts using different types of VA-related boundary objects. Together with the proposed set of design principles, the three-phase model advances the well-established stream of research on organizational use of analytics, extending it to the emerging area of visual analytics for non-technical decision makers.

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http://hdl.handle.net/10453/170063