Evaluation model for usability practitioners: a mobile application for low vision users

• Main Author: Elmghirbi, Ahlam Mohamed Omar
• Format: Thesis
• Language: English; English
• Published: 2022
• Subjects: HF5415.33 Consumer Behavior.; T Technology (General)
• Online Access: https://etd.uum.edu.my/10208/1/s901793_01.pdf; https://etd.uum.edu.my/10208/2/s901793_02.pdf; https://etd.uum.edu.my/10208/
• Institution: Universiti Utara Malaysia

Many people depend on mobile applications to perform daily activities. However, people with low vision that unable to fully correct their vision with glasses require usable applications that match their abilities. Unfortunately, existing usability evaluation models use generalized measurements that are ineffective to evaluate mobile applications to ensure their suitability for low vision people. Therefore, the main objective of this study is to develop a mobile application usability evaluation model for low vision users. The first and second phases of this study were to identify the usability requirements and measures of mobile application for low vision users. The methods used were analysing literature content using Systematic Literature Review method and interviewing ten low vision mobile application users. A qualitative analysis software was used to analyse semi-structured interview data. In the third phase, a new model was developed using the Quality in Use Integrated Measurement method. The proposed model was then reviewed using the expert review approach by six knowledge and practitioners for improvements in the final model. Finally, the developed model was evaluated in a focus group session with six practitioners, and also usability testing with nine low vision users which was analysed by using descriptive statistical. This study has developed a model that includes six usability dimensions, fifteen usability criteria and fifty-six usability metrics. The model is able to identify low vision users’ difficulties and suggest a solution to improvise the mobile application design. The model may enrich the body of knowledge in the Human-Computer Interaction area, especially in the field of usability evaluation. It helps usability practitioners to discover mobile application usage problems faced by low vision users, which are difficult to discover by previous models and suggest a solution to improvise the design. This ensures convenience and privacy for low vision users when using a mobile application.