A Test Management System to Support Remote Usability Assessment of Web Applications

Nowadays, web designers are forced to have an even deeper perception of how users approach their products in terms user experience and usability. Remote Usability Testing (RUT) is the most appropriate tool assess usability platforms by measuring level attention, satisfaction, productivity. RUT does not require physical presence evaluators, but for this very reason makes data collection more difficult. To simplify analysis help moderators collect analyze user’s a non-intrusive manner, research work proposes low-cost comprehensive framework based on Deep Learning algorithms. The proposed framework, called Miora, employs facial expression recognition, gaze analytics algorithms capture about other information interest in-depth analysis, such as interactions with analyzed software. It uses evaluation methodology elicit metrics presents results series graphs statistics so that moderator can intuitively different trends related KPI used indicators. demonstrate could facilitate large amounts enable conduct both remote formative summative tests efficient way than traditional lab-based testing, two case studies been presented: online shop management platform. Obtained suggest be employed testing tests.