A framework to maximise the communicative power of knowledge visualisations

Karen Renaud, Judy Van Biljon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Knowledge visualisation, in the field of information systems, is both a process and a product, informed by the closely aligned fields of information visualisation and knowledg management. Knowledge visualisation has untapped potential within the purview of knowledge communication. Even so, knowledge visualisations are infrequently deployed due to a lack of evidence-based guidance. To improve this situation, we carried out a systematic literature review to derive a number of “lenses” that can be used to reveal the essential perspectives to feed into the visualisation production process.

We propose a conceptual framework which incorporates these lenses to guide producers of knowledge visualisations. This framework uses the different lenses to reveal critical perspectives that need to be considered during the design process. We conclude by demonstrating how this framework could be used to produce an effective knowledge visualisation.
Original languageEnglish
Title of host publicationProceedings of SAICSIT 2019
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Number of pages10
ISBN (Print)9781450372657
DOIs
Publication statusPublished - 30 Sep 2019
Event2019 South African Institute of Computer Scientists and Information Technologists Conference: Digital eco-systems gone wild - Nombolo Mdluli Conference Centre, Skukuza, South Africa
Duration: 17 Sep 201918 Sep 2019
https://saicsit2019.org.za/

Conference

Conference2019 South African Institute of Computer Scientists and Information Technologists Conference
Abbreviated titleSAICSIT
CountrySouth Africa
CitySkukuza
Period17/09/1918/09/19
Internet address

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    Renaud, K., & Biljon, J. V. (2019). A framework to maximise the communicative power of knowledge visualisations. In Proceedings of SAICSIT 2019 [2] Association for Computing Machinery (ACM). https://doi.org/10.1145/3351108.3351111