Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/136638
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: Better Addressing Diverse Accessibility Issues in Emerging Apps: A Case Study using COVID-19 Apps
Author: Haggag, O.
Grundy, J.
Abdelrazek, M.
Haggag, S.
Citation: Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems (MobileSoft 2022), 2022, pp.50-61
Publisher: IEEE
Publisher Place: Online
Issue Date: 2022
ISBN: 9781665490184
Conference Name: IEEE/ACM International Conference on Mobile Software Engineering and Systems (MobileSoft) (17 May 2022 - 18 May 2022 : Pittsburg, USA)
Statement of
Responsibility: 
Omar Haggag, John Grundy, Mohamed Abdelrazek, Sherif Haggag
Abstract: The COVID-19 pandemic resulted in introducing a large number of “emerging apps" to the mobile app market. These apps were developed and deployed quickly to address the urgency of the situation. This gave us an indication that the cycle of having new emerging apps will likely reoccur in every upcoming emergency in the future e.g. for advice and guidance during bush fires, floods, other pandemics, etc. We carried out an in-depth analysis of user reviews and version history release notes for 30 COVID-19 apps that were developed in a great hurry in 2020. We identified many diverse accessibility issues that exist, not just related to conventional challenged end-user accessibility issues, but including the ability to register, access, download, and use from different app stores in different countries and for different end-users. From this large-scale analysis, we developed a new advisory tool for software developers of emerging apps to avoid many of the wide accessibility issues presented in these COVID-19 apps. A user evaluation of our prototype tool with 13 real-world app developers indicates it will assist developers to address many of these issues prior to initial emerging app deployment.
Keywords: Emerging Apps; COVID-19 Apps; Accessibility; Mobile Apps; User Reviews; Version History; Analysis; Evaluation; Recommendations, Guidelines
Rights: © 2022 Association for Computing Machinery.
DOI: 10.1145/3524613.3527817
Grant ID: http://purl.org/au-research/grants/arc/FL190100035
http://purl.org/au-research/grants/arc/DP200100020
Published version: https://ieeexplore.ieee.org/document/9797313
Appears in Collections:Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.