Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments-A Usability Study.

Ng, J; Arness, D; Gronowski, A; Qu, Z; Lau, CW; Catchpoole, D; Nguyen, QV

Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments-A Usability Study.

Ng, J Arness, D Gronowski, A Qu, Z Lau, CW Catchpoole, D

Nguyen, QV

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: J Imaging, 2023, 10, (1), pp. 3
Issue Date:: 2023-12-23

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Field	Value	Language
dc.contributor.author	Ng, J
dc.contributor.author	Arness, D
dc.contributor.author	Gronowski, A
dc.contributor.author	Qu, Z
dc.contributor.author	Lau, CW
dc.contributor.author	Catchpoole, D https://orcid.org/0000-0001-5836-1413
dc.contributor.author	Nguyen, QV
dc.date.accessioned	2024-03-14T04:29:02Z
dc.date.available	2023-12-20
dc.date.available	2024-03-14T04:29:02Z
dc.date.issued	2023-12-23
dc.identifier.citation	J Imaging, 2023, 10, (1), pp. 3
dc.identifier.issn	2313-433X
dc.identifier.issn	2313-433X
dc.identifier.uri	http://hdl.handle.net/10453/176702
dc.description.abstract	Biomedical datasets are usually large and complex, containing biological information about a disease. Computational analytics and the interactive visualisation of such data are essential decision-making tools for disease diagnosis and treatment. Oncology data models were observed in a virtual reality environment to analyse gene expression and clinical data from a cohort of cancer patients. The technology enables a new way to view information from the outside in (exocentric view) and the inside out (egocentric view), which is otherwise not possible on ordinary displays. This paper presents a usability study on the exocentric and egocentric views of biomedical data visualisation in virtual reality and their impact on usability on human behaviour and perception. Our study revealed that the performance time was faster in the exocentric view than in the egocentric view. The exocentric view also received higher ease-of-use scores than the egocentric view. However, the influence of usability on time performance was only evident in the egocentric view. The findings of this study could be used to guide future development and refinement of visualisation tools in virtual reality.
dc.format	Electronic
dc.language	eng
dc.publisher	MDPI
dc.relation.ispartof	J Imaging
dc.relation.isbasedon	10.3390/jimaging10010003
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4003 Biomedical engineering
dc.subject.classification	4603 Computer vision and multimedia computation
dc.title	Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments-A Usability Study.
dc.type	Journal Article
utslib.citation.volume	10
utslib.location.activity	Switzerland
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 Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-14T04:28:53Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	10
utslib.citation.issue	1

Abstract:

Biomedical datasets are usually large and complex, containing biological information about a disease. Computational analytics and the interactive visualisation of such data are essential decision-making tools for disease diagnosis and treatment. Oncology data models were observed in a virtual reality environment to analyse gene expression and clinical data from a cohort of cancer patients. The technology enables a new way to view information from the outside in (exocentric view) and the inside out (egocentric view), which is otherwise not possible on ordinary displays. This paper presents a usability study on the exocentric and egocentric views of biomedical data visualisation in virtual reality and their impact on usability on human behaviour and perception. Our study revealed that the performance time was faster in the exocentric view than in the egocentric view. The exocentric view also received higher ease-of-use scores than the egocentric view. However, the influence of usability on time performance was only evident in the egocentric view. The findings of this study could be used to guide future development and refinement of visualisation tools in virtual reality.

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http://hdl.handle.net/10453/176702