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Advancements in information technology have facilitated the emergence of mHealth apps as crucial tools for health management and chronic disease prevention. This research work focuses on mHealth apps for the management of diabetes by patients on their own. Given that China has the highest number of diabetes patients in the world, with 141 million people and a prevalence rate of 12.8% (mentioned in the Global Overview of Diabetes), the development of a usability research methodology to assess and validate the user-friendliness of apps is necessary. This study describes a usability evaluation model that combines task analysis methods and eye movement data. A blood glucose recording application was designed to be evaluated. The evaluation was designed based on the model, and the feasibility of the model was demonstrated by comparing the usability of the blood glucose logging application before and after a prototype modification based on the improvement suggestions derived from the evaluation. Tests showed that an improvement plan based on error logs and post-task questionnaires for task analysis improves interaction usability by about 24%, in addition to an improvement plan based on eye movement data analysis for hotspot movement acceleration that improves information access usability by about 15%. The results demonstrate that this study presents a usability evaluation model for mHealth apps that enables the effective evaluation of the usability of mHealth apps. [ABSTRACT FROM AUTHOR]

Advancements in information technology have facilitated the emergence of mHealth apps as crucial tools for health management and chronic disease prevention. This research work focuses on mHealth apps for the management of diabetes by patients on their own. Given that China has the highest number of diabetes patients in the world, with 141 million people and a prevalence rate of 12.8% (mentioned in the Global Overview of Diabetes), the development of a usability research methodology to assess and validate the user-friendliness of apps is necessary. This study describes a usability evaluation model that combines task analysis methods and eye movement data. A blood glucose recording application was designed to be evaluated. The evaluation was designed based on the model, and the feasibility of the model was demonstrated by comparing the usability of the blood glucose logging application before and after a prototype modification based on the improvement suggestions derived from the evaluation. Tests showed that an improvement plan based on error logs and post-task questionnaires for task analysis improves interaction usability by about 24%, in addition to an improvement plan based on eye movement data analysis for hotspot movement acceleration that improves information access usability by about 15%. The results demonstrate that this study presents a usability evaluation model for mHealth apps that enables the effective evaluation of the usability of mHealth apps.

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, sixdimensions 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 andunderstandability. [ABSTRACT FROM AUTHOR]

Distance learning is an ancient idea to impart education to the learners who were unable to join the regular educational institutes. Revolution in information technology has changed this mode of learning to e-learning. E-learning is the mode of education in which the learners in remote areas were educated through the use of technology. Many institutes have developed dedicated websites and learning management systems such as open courseware, to introduce e- learning method. These learning management systems are very efficient, have vast learning material and communication channels without assistive support for physically disabled users. Lack of assistive technology support in these websites stimulated negative user experiences. In this research work an e-learning usability evaluation model based on user's mental model, had been developed. Objective of this research work was to reduce the gap between user's mental model and designer's perception. The major problem while improving usability was a communication gap between user and designer. [ABSTRACT FROM AUTHOR]