Systematic Analysis of Mobile Diabetes Management Applications on Different Platforms

García, Eva; Martin, Clare; García, Antonio; Harrison, Rachel; Flood, Derek

doi:10.1007/978-3-642-25364-5_27

Cited by 18 publications

(21 citation statements)

References 16 publications

(20 reference statements)

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“…Firstly, we could compare the results obtained with those from two similar studies performed using a similar method: one for spreadsheet apps [31] and another one for diabetes management apps [30]. It should be noted that the study of diabetes management apps [30] was carried on Android, iOS, and BlackBerry, but we will focus only on the results obtained for the iOS platform.…”

Section: Discussionmentioning

confidence: 99%

“…To further understand this, as seen in previous studies of Flood et al [29][30][31], the four applications with fewer interactions were selected for the next step. However, our KLM results present multiple apps with the same total number of interactions.…”

Section: Task 4: Delete/block a Contactmentioning

confidence: 99%

“…In order to cater for the usability evaluation in existing mobile apps in the online markets, Martin et al [28] proposed a mechanism for systematic evaluations of mobile apps, which has been successfully applied in different fields, such as diabetes [29,30] or spreadsheet [31] mobile apps. This evaluation consists of five steps:…”

Section: Introductionmentioning

confidence: 99%

“…As we discuss later in detail, this evaluation, considered as a laboratory experiment [34], has some advantages [28,29], such as platform independence and flexibility [30]; that is, it can be applied on different platforms (e.g., Android, iOS, and Windows Phone). Previous work applying this evaluation, including diabetes management apps [29,30] and spreadsheet apps [31], showed that the combination of KLM and MUH allows detecting a larger number of usability problems than when performed independently.…”

Section: Introductionmentioning

confidence: 99%

“…Previous work applying this evaluation, including diabetes management apps [29,30] and spreadsheet apps [31], showed that the combination of KLM and MUH allows detecting a larger number of usability problems than when performed independently. KLM results showed significant variations depending mainly on the input method of the app.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Systematic Evaluation of Mobile Applications for Instant Messaging on iOS Devices

Caro‐Alvaro

García-López

García-Cabot

et al. 2017

Mobile Information Systems

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Nowadays, instant messaging applications (apps) are one of the most popular applications for mobile devices with millions of active users. However, mobile devices present hardware and software characteristics and limitations compared with personal computers. Hence, to address the usability issues of mobile apps, a specific methodology must be conducted. This paper shows the findings from a systematic analysis of these applications on iOS mobile platform that was conducted to identify some usability issues in mobile applications for instant messaging. The overall process includes a Keystroke-Level Modeling and a Mobile Heuristic Evaluation. In the same trend, we propose a set of guidelines for improving the usability of these apps. Based on our findings, this analysis will help in the future to create more effective mobile applications for instant messaging.

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Section: Discussionmentioning

confidence: 99%

Section: Task 4: Delete/block a Contactmentioning

confidence: 99%