scholarly journals Usability Evaluation of Mobile Tracking Applications: A Systematic Review

Author(s):  
Murtaja Ali Saare ◽  
Azham Bin Hussain ◽  
Osamah Mohammed Jasim ◽  
Alia Ahmed Mahdi

In the recent years, mobile is found to be useful since they allow the user to perform more tasks in a mobile context. However, this usefulness come at the expense of the usability of these devices in some contexts. Thus, usability becomes an important factor in the adoption of mobile applications (such as mobile tracking applications, mobile health and mobile learning), which are often used by people who have problems when using mobile devices and who have a limited experience of technology. It’s critical in the Mobile domain to ensure the success of mobile applications. Despite some studies review usability evaluation, regrettably there are no systematic literature reviews focused on usability evaluation of mobile tracking applications. Consequently, in this study, the researchers strive to present the results of a systematic literature review (SLR) involving the use of usability evaluation techniques in Mobile tracking applications. Based on three research questions, the results indicated that, there are three kinds of the Mobile tracking applications namely: information tracking, location tracking and information and location tracking. In addition, and regard to the techniques used to evaluate the usability, the experimental study was the regularly used in the selected studies. Finally, the results shown that, for characteristics were frequently exploited to measure the usability of mobile tracking application are: Effectiveness, Efficiency, Usefulness and Accurate. This study is valuable for the researchers who need to evaluate the usability for any new mobile application through explored the appropriate methods used to evaluation the usability and indicators required for this purpose.

2014 ◽  
Vol 8 (4) ◽  
pp. 26-43 ◽  
Author(s):  
Hella Kaffel Ben Ayed ◽  
Asma Hamed

This paper presents an experimental study on mobile Web and mobile applications tracking. The study on Mobile Web tracking has been conducted on datasets collected by TrackScoreMobile, a Firefox add-on that has been developed and distributed to a set of Tunisian students and researchers. Results identify the factors that increase the privacy risk. The study on mobile applications tracking focuses on the permissions required by android applications. The findings point out on the mostly required permissions and the mostly tracked application categories. The originality of this work is summarized as follows: 1) identification and measurement of the parameters to quantify Web tracking, 2) identification of risky association between mobile applications permissions and associations between permissions and tracking components. The goal of this paper is to better understand how trackers rely on tracking components and on permissions for the purpose of tracking mobile users.


Author(s):  
Azham Hussain ◽  
Ahlam Mohamed Omar

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.


2016 ◽  
Vol 10 (1) ◽  
pp. 50-66 ◽  
Author(s):  
Beth Rogers ◽  
Lillian Clark

Purpose – This paper aims to propose a conceptual model that will guide development of mobile applications to support value-added business-to-business (B2B) sales activities. Design/methodology/approach – The paper reviews the concepts of context-aware applications and context-marketing, then examines B2B selling and the creation of value, utilizing Terho’s model of value-based selling, and presenting the potential role of context-aware B2B selling in creating value. Terho’s model is then combined with a taxonomy of context modeling to produce step-by-step a conceptual model for developing context-aware B2B sales applications (CABS). Findings – By mapping the context-aware application development taxonomy against each stage of Terho’s “value-based selling” model, the CABS model is proposed. This model provides a platform for the B2B salesforce, their customers and information technology (IT) staff to work together in developing requirements and prototypes for mobile B2B context-aware applications. Research limitations/implications – The CABS model would require empirical testing to assess its viability and suitability. This would initially be done via focus groups in targeted sales organizations. Practical implications – The CABS model could utilized by sales staff and their customers to develop requirements for mobile context-aware applications to support B2B activity. In addition, the CABS model could be utilized in joint application design processes to enable sales and IT staff to work together in developing prototype mobile applications. Originality/value – While context-aware applications are beginning to transform business-to-sale (B2C) sales activities, it is clear that B2B sales could also benefit from these types of applications, but little progress has been made in understanding or developing their potential. The CABS model enables B2B sales staff and their customers to recognize these benefits and facilitate working with IT staff in defining requirements and developing prototypes.


2019 ◽  
Vol 12 (1) ◽  
pp. 12
Author(s):  
Hussain Mohammad Abu-Dalbouh

Much of the adjunct technology developed for using among medical environments is targeted towards computers. Because the hospitals face increasing demands to participate in a very big selection of quality improvement activities, the role and influence of using mobile applications in these efforts is additionally increasing. The professionals of Healthcare pay abundant of their time wandering between offices and patients, whereas the validator technology stays stationary. This paper presents a study performed using the mobile application for storing and following up patients status. Therefore, mobile application for tracking patient progress is proposed to minimize such challenges and demands, by allowing physicians and nurses to trace the patients’ conditions a lot of expeditiously and simply. The experimental results conclude that the working environment would be improved by supporting the mobile workers with mobile technology.


2021 ◽  
Vol 11 (22) ◽  
pp. 10816
Author(s):  
Semin Kim ◽  
Hyung-Jin Mun

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.


2021 ◽  
Vol 56 (5) ◽  
pp. 433-441
Author(s):  
Ahlam Mohamed Elmghirbia ◽  
Azham Hussain ◽  
Nur Hani Zulkifli

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.


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