dc.contributor.author | van Wyk, Quintus | |
dc.contributor.author | Van Biljon, Judy | |
dc.contributor.author | Schoeman, Marthie | |
dc.date.accessioned | 2019-07-24T10:19:13Z | |
dc.date.available | 2019-07-24T10:19:13Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-5386-7365-2 | |
dc.identifier.uri | http://hdl.handle.net/10500/25614 | |
dc.description.abstract | Incident Management Systems (IMS) assist in managing resources in order to minimize fatalities and damage. Visual artifacts in an IMS can facilitate knowledge transfer between responders to an incident, however, evidence-based guidance on the design of these visualizations are lacking. The aim of this study is to propose evidence-based knowledge visualization criteria (KVC). Design Science Research (DSR) was the guiding methodology. We abstracted a set of KVC from the academic literature, and then applied said criteria to evaluate a cloud-based prototype IMS. The evaluation included interviews with content experts from the South African Fire Service to establish the relevance of the KVC. The KVC were also used in a heuristic evaluation of the IMS by usability experts. The theoretical contribution of the study is the validated set of KVC based on the triangulation of the findings from the content experts and the usability experts. The study also makes a practical contribution by demonstrating the use of evidencebased visualization criteria in IMS. | en |
dc.language.iso | en | en |
dc.publisher | IEEE | en |
dc.subject | Criteria | en |
dc.subject | Incident | en |
dc.subject | Incident Management System | en |
dc.subject | Knowledge | en |
dc.subject | Knowledge Transfer | en |
dc.subject | Knowledge Visualization | en |
dc.subject | Knowledge Visualization Criteria | en |
dc.title | Visualization Criteria: supporting knowledge transfer in Incident | en |
dc.type | Article | en |
dc.description.department | School of Computing | en |