- Title
- Gestalt based evaluation of health information diagrams
- Creator
- Sharma, Vishakha; Stranieri, Andrew; Burstein, Frada; Warren, Jim; Firmin, Sally
- Date
- 2020
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/176372
- Identifier
- vital:15126
- Identifier
-
https://doi.org/10.1109/IV51561.2020.00040
- Identifier
- ISBN:1093-9547 (ISSN); 9781728191348 (ISBN)
- Abstract
- Diagrams for four different health care settings have been proposed: Snapshot Diagram, Diagnosis Diagram, Strength of Evidence Diagram and Patient Pathway Diagram The availability of large amount of digital health care data and potential to utilize its benefits led to the development of these diagrams. This paper presents an analysis of the diagrams based on the selection of a subset of Gestalt principles deemed relevant for each diagram. Although Gestalt and human-computer interaction principles are advanced to apply to all diagrams or user interfaces, in practice a sub-set of principles must be selected to evaluate a diagram or interface The selection of a subset of principles to use on a diagram has not been widely studied. This paper presents an approach for identifying a subset of relevant Gestalt principles tailored for each of the four diagrams advanced for health care settings. © 2020 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 24th International Conference Information Visualisation, IV 2020 Vol. 2020-September, p. 195-201
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ 2021 IEEE - All rights reserved
- Subject
- Design Science; Gestalt Evaluation Framework; Gestalt Principles; Health Information Visualization Diagrams; Visualization
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