Gestalt based evaluation of health information diagrams

Vishakha Sharma, Andrew Stranieri, Frada Burstein, Jim Warren, Sally Firmin

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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.

Original languageEnglish
Title of host publicationInformation Visualisation
Subtitle of host publicationAI & Analytics, Biomedical Visualization, Builtviz, and Geometric Modelling & Imaging
EditorsEbad Banissi, Farzad Khosrow-Shahi, Anna Ursyn, Mark W. McK. Bannatyne, Joao Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, John Counsell, Andrew Agapiou, Zora Vrcelj, Hing-Wah Chau, Mengbi Li, Gehan Nagy, Richard Laing, Rita Francese, Muhammad Sarfraz, Fatma Bouali, Gilles Venturin, Marjan Trutschl, Urska Cvek, Heimo Muller, Minoru Nakayama, Marco Temperini, Tania Di Mascio, Filippo Sciarrone Veronica Rossano Rossano, Ralf Dorner, Loredana Caruccio, Autilia Vitiello, Weidong Huang, Michele Risi, Ugo Erra, Razvan Andonie, Muhammad Aurangzeb Ahmad, Ana Figueiras, Mabule Samuel Mabakane
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages195-201
Number of pages7
ISBN (Electronic)9781728191348
ISBN (Print)9781728191355
DOIs
Publication statusPublished - Sep 2020
EventInternational Conference Information Visualisation 2020 - Virtual, Melbourne, Australia
Duration: 7 Sep 202011 Sep 2020
Conference number: 24th
https://iv.csites.fct.unl.pt/at/ (Website)
https://ieeexplore.ieee.org/xpl/conhome/9373069/proceeding (Proceedings)

Publication series

NameProceedings of the International Conference on Information Visualisation
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
Volume2020-September
ISSN (Print)1093-9547
ISSN (Electronic)2375-0138

Conference

ConferenceInternational Conference Information Visualisation 2020
Abbreviated titleIV 2020
Country/TerritoryAustralia
CityMelbourne
Period7/09/2011/09/20
Internet address

Keywords

  • Design Science
  • Gestalt Evaluation Framework
  • Gestalt Principles
  • Health Information Visualization Diagrams
  • Visualization

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