A Usability Evaluation of Diabetes Mobile Applications

2019 ◽  
pp. 3-15
Author(s):  
Meng-Hsueh Hsieh ◽  
Yu-Ching Chen ◽  
Chun-Heng Ho
Keyword(s):  
Mobile Applications ◽  
Usability Evaluation

scholarly journals Content and Usability Evaluation of Medication Adherence Mobile Applications for Use in Pediatrics

2018 ◽  
Vol 44 (3) ◽  
pp. 333-342 ◽  
Author(s):  
Julia K Carmody ◽  
Lee A Denson ◽  
Kevin A Hommel
Keyword(s):  
Medication Adherence ◽  
Mobile Applications ◽  
Usability Evaluation

scholarly journals Usability Evaluation Model for Mobile Visually Impaired Applications

2020 ◽  
Vol 14 (05) ◽  
pp. 95
Author(s):  
Azham Hussain ◽  
Ahlam Mohamed Omar
Keyword(s):  
Literature Review ◽  
Visual Impairment ◽  
Systematic Literature Review ◽  
Mobile Applications ◽  
Mobile Application ◽  
Visually Impaired ◽  
Evaluation Model ◽  
Usability Evaluation ◽  
Evaluation Models ◽  
Usability Evaluation Methods

The usability of the mobile applications is the most important factor in developing, so the key to develop successful mobile applications is usability, especially for users have specific needs such as visually impaired. However, developers do not focus on visually impaired users. Moreover, there are limited studies and usability evaluation models for mobile applications for visually impaired so developers use just a modified usability evaluation methods which are not enough and useful to evaluate mobile applications for visually impaired, or they use general usability evaluation models. Therefore, using these methods or models is difficult for evaluator and not useful for visually impaired users. This study conducts Systematic Literature Review (SLR) to identify usability dimensions that help mobile applications developers and evaluators to evaluate mobile application for users which have moderate and severe visual impairment. The result shows that, six dimensions that have a significant impact on moderate and severe visually impaired users' satisfaction, who use mobile applications. These dimensions namely efficiency, effectiveness, satisfaction, errors, accessibility and understandability.

scholarly journals Design and Development of a Self-Diagnostic Mobile Application for Learning Progress in Non-Face-to-Face Practice Learning

2021 ◽  
Vol 11 (22) ◽  
pp. 10816
Author(s):  
Semin Kim ◽  
Hyung-Jin Mun
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Evaluation Model ◽  
Usability Evaluation ◽  
Design Development ◽  
Evaluation Tool ◽  
Face To Face ◽  
Learning Content ◽  
Learning Progress ◽  
Face To Face Learning

Due to COVID-19, non-F2F (non-face-to-face) learning is being conducted in educational sites around the world. Unlike theoretical subjects, which have a variety of applicable non-F2F learning content, in practical subjects, learners may undergo many difficulties due to many learning activities. Therefore, this research tries to design and develop a mobile application that allows learners to perform a self-diagnostic on their learning progress. In this research, we conducted a mobile application usability evaluation for 36 students who participated in non-F2F Arduino practice learning. To this end, we applied the ADDIE (Analysis, Design, Development, Implement, and Evaluation) model to develop a self-diagnostic mobile application for students’ learning progress according to the learning content. The research tool modified and distributed the question item appropriate for this subject’s study for the mobile usability evaluation that was used in the previous study. This research applied the ADDIE model to analyze the characteristics of students and learning contents, including designed learning contents, database, menu structure, developed learning contents, and mobile application. After using this in non-F2F practice learning for 15 weeks, a mobile application usability evaluation was conducted. As a result of the study, due to receiving usability scores between 3.53 and 4.42, it was found that the learning progress self-diagnostic in non-F2F practice learning was essential and that mobile applications were useful in non-F2F practice learning. Additionally, 33 out of 36 students responded that it would be useful for their learning if they actively used it in other subjects as well. We have found that leveraging self-diagnostic mobile applications through the mobile application usability evaluation tool can be useful for non-F2F practice learning. Additionally, it is expected to be useful for non-F2F practice learning if additional research is conducted on other factors as well such as teaching presence, online learning engagement, and learning flow in the future.

scholarly journals EVALUATION MODEL FOR LOW VISION USERS IN MOBILE APPLICATION

2021 ◽  
Vol 56 (5) ◽  
pp. 433-441
Author(s):  
Ahlam Mohamed Elmghirbia ◽  
Azham Hussain ◽  
Nur Hani Zulkifli
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Low Vision ◽  
Evaluation Model ◽  
Usability Evaluation ◽  
Domain Experts ◽  
Usability Problems ◽  
Proposed Model ◽  
Usability Requirements ◽  
Application Developers

This paper aims to discuss the usability evaluation model for mobile applications used by low vision users. Low vision users have difficulties using mobile applications due to limited view, bright sunshine, small text, and other reasons. This type of user uses mobile applications designed for users with normal vision, and they have many difficulties in reading, accessing, and understanding. Therefore, this paper provides a mobile application usability evaluation model for this type of user, and the proposed model includes usability measures that fulfill their usability requirements. This study employed a systematic review of previous research on good practices and requirements for low vision users to use mobile applications. Also, the new model was evaluated by the domain experts through a focus group session. This model aims to support the development of a mobile application that low vision users can use, which has not been supported in previous studies since it guides mobile application developers to develop mobile applications that fulfill low vision users' usability requirements. It also helps to identify usability problems in the current mobile applications for this type of user. This study will benefit low vision people in using mobile applications effectively, easily, and comfortably.

Usability Evaluation Methods for Mobile Applications

2008 ◽  
pp. 745-758 ◽  
Author(s):  
Regina Bernhaupt ◽  
Kristijan Mihalic ◽  
Marianna Obrist
Keyword(s):  
Mobile Devices ◽  
User Interfaces ◽  
Mobile Applications ◽  
Laboratory Testing ◽  
Field Evaluation ◽  
Evaluation Methods ◽  
Usability Evaluation ◽  
The Past ◽  
Usability Evaluation Methods ◽  
Selection Of

Evaluating mobile applications and devices is particularly challenging given the variability of users, uses, and environments involved. This chapter introduces usability evaluation methods (UEMs) for mobile applications. Over the past decades various usability evaluation methods have been developed and implemented to improve and assure easy-to-use user interfaces and systems. Since most of the so-called ‘classical’ methods have demonstrated shortcomings when used in the field of mobile applications, they were broadened, varied, and changed to meet the demands of testing usability for mobile applications. This chapter presents a selection of these ‘classical’ methods and introduces some methodological variations for testing usability in the area of mobile devices and applications. It argues for a combination of both field evaluation methods and traditional laboratory testing to cover different phases in the user-centered design and development process.

Usability Evaluation of Social Media Web Sites and Applications via Eye-Tracking Method

2017 ◽  
pp. 85-112
Author(s):  
Duygu Mutlu-Bayraktar
Keyword(s):  
Social Media ◽  
Eye Tracking ◽  
Web Sites ◽  
Mobile Applications ◽  
Completion Time ◽  
Usability Evaluation ◽  
Tracking Data ◽  
Tracking Method ◽  
Tracking Movements ◽  
Media Applications

This chapter describes usability studies of website-based and mobile application-based social media sites. In the study including 10 university students, the completion time of assigned tasks were measured along with click numbers and completion situations. These measures were analyzed. Data obtained from eye tracking movements was analyzed, and the results were evaluated. According to the results, the users can complete most of the tasks, but completion time varied. The participants had difficulties completing settings menu tasks except menus previously used in social media. When eye tracking results were examined, it was revealed that they mostly focused on the left side of websites and mobile applications. The participants stated that mobile applications were more useful than websites. According to eye-tracking data obtained in the study and the users' opinions, mobile social media applications were more functional than their websites.

A novel approach for usability evaluation of mobile applications

2021 ◽  
Vol 65 (1) ◽  
pp. 437-441
Author(s):  
Junho Park ◽  
Maryam Zahabi
Keyword(s):  
Graphical User Interface ◽  
Mobile Applications ◽  
Human Subject ◽  
Mobile Apps ◽  
Usability Evaluation ◽  
Heuristic Evaluation ◽  
User Testing ◽  
Novel Approach ◽  
Design Cycle ◽  
Level Model

Mobile applications (apps) have been massively developed and released in recent years. In this competitive market, the users’ adoption of the app or satisfaction greatly depends on its usability. Therefore, tech companies and app developers are looking for quick and easy approaches to evaluate the usability of their products early in the design cycle. The objective of this study was to introduce a novel approach combining the capabilities of the gesture-level model (GLM) and heuristic evaluation to assess the usability of mobile apps in early stages of the design cycle and without the need for costly and time-consuming user testing. The approach can be run on a graphical user interface and includes uncertainties regarding user skill level and distraction. Preliminary results suggested that this approach can be used for usability evaluation of mobile apps; however, its validity and generalizability to other domains need to be validated in the future with human-subject experiments.

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