Affective-Ready, Contextual and Automated Usability Test for Mobile Software

This work proposes the use of system to perform affective-ready, contextual and automated usability tests for mobile software. Our proposal augments the traditional methods of software usability evaluation by monitoring users' location, weather conditions, moving/stationary status, data connection availability and spontaneous facial expressions automatically. This aims to identify the moment of negative and positive events. Identifying those situations and systematically associating them to the context of interaction, assisted software creators to overcome design flaws and enhancing interfaces' strengths. The validation of our approach include post-test questionnaires with test subjects. The results indicate that the automated user-context logging can be a substantial supplement to mobile software usability tests.