Affective-ready, contextual and automated usability test for mobile software
Jackson Feijó Filho, Wilson Silva Prata, Juan Oliveira · 2016
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.