Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications.

Alzahrani, AS; Gay, V; Alturki, R; AlGhamdi, MJ

Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications.

Alzahrani, AS Gay, V

Alturki, R AlGhamdi, MJ

Permalink

Publisher:: HINDAWI LTD
Publication Type:: Journal Article
Citation:: J Healthc Eng, 2021, 2021, pp. 5313027
Issue Date:: 2021

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (392.17 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Alzahrani, AS
dc.contributor.author	Gay, V https://orcid.org/0000-0002-4301-1995
dc.contributor.author	Alturki, R
dc.contributor.author	AlGhamdi, MJ
dc.date.accessioned	2022-01-28T03:06:51Z
dc.date.available	2021-11-16
dc.date.available	2022-01-28T03:06:51Z
dc.date.issued	2021
dc.identifier.citation	J Healthc Eng, 2021, 2021, pp. 5313027
dc.identifier.issn	2040-2295
dc.identifier.issn	2040-2309
dc.identifier.uri	http://hdl.handle.net/10453/153737
dc.description.abstract	Mobile application (app) use is increasingly becoming an essential part of our daily lives. Due to their significant usefulness, people rely on them to perform multiple tasks seamlessly in almost all aspects of everyday life. Similarly, there has been immense progress in artificial intelligence (AI) technology, especially deep learning, computer vision, natural language processing, and robotics. These technologies are now actively being implemented in smartphone apps and healthcare, providing multiple healthcare services. However, several factors affect the usefulness of mobile healthcare apps, and usability is an important one. There are various healthcare apps developed for each specific task, and the success of these apps depends on their performance. This study presents a systematic review of the existing apps and discusses their usability attributes. It highlights the usability models, outlines, and guidelines proposed in previous research for designing apps with improved usability characteristics. Thirty-nine research articles were reviewed and examined to identify the usability attributes, framework, and app design conducted. The results showed that satisfaction, efficiency, and learnability are the most important usability attributes to consider when designing eHealth mobile apps. Surprisingly, other significant attributes for healthcare apps, such as privacy and security, were not among the most indicated attributes in the studies.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	HINDAWI LTD
dc.relation.ispartof	J Healthc Eng
dc.relation.isbasedon	10.1155/2021/5313027
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	Copyright © 2021 Adel Saeed Alzahrani et al. (is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.subject	0903 Biomedical Engineering
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Delivery of Health Care
dc.subject.mesh	Humans
dc.subject.mesh	Mobile Applications
dc.subject.mesh	Privacy
dc.subject.mesh	Telemedicine
dc.subject.mesh	Humans
dc.subject.mesh	Telemedicine
dc.subject.mesh	Privacy
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Delivery of Health Care
dc.subject.mesh	Mobile Applications
dc.title	Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications.
dc.type	Journal Article
utslib.citation.volume	2021
utslib.location.activity	England
utslib.for	0903 Biomedical Engineering
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/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
utslib.copyright.status	open_access	*
dc.date.updated	2022-01-28T03:06:49Z
pubs.publication-status	Published online
pubs.volume	2021

Abstract:

Mobile application (app) use is increasingly becoming an essential part of our daily lives. Due to their significant usefulness, people rely on them to perform multiple tasks seamlessly in almost all aspects of everyday life. Similarly, there has been immense progress in artificial intelligence (AI) technology, especially deep learning, computer vision, natural language processing, and robotics. These technologies are now actively being implemented in smartphone apps and healthcare, providing multiple healthcare services. However, several factors affect the usefulness of mobile healthcare apps, and usability is an important one. There are various healthcare apps developed for each specific task, and the success of these apps depends on their performance. This study presents a systematic review of the existing apps and discusses their usability attributes. It highlights the usability models, outlines, and guidelines proposed in previous research for designing apps with improved usability characteristics. Thirty-nine research articles were reviewed and examined to identify the usability attributes, framework, and app design conducted. The results showed that satisfaction, efficiency, and learnability are the most important usability attributes to consider when designing eHealth mobile apps. Surprisingly, other significant attributes for healthcare apps, such as privacy and security, were not among the most indicated attributes in the studies.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/153737