A platform for UX assessment based on self-reporting techniques

Self-report techniques for capturing User eXperience (UX) are increasingly being used in a variety of contexts. The number of appropriate tools to assist UX evaluators in performing their activities, however, is still quite small. Typically, existing tools provide only one technique, making it difficult to compare and choose the most appropriate technique for a given scenario and the sentiments to be captured. This paper presents the UXSense platform. UXSense aims to help evaluators with the task of selecting the appropriate UX technique, create the forms to execute the evaluation and offer the computational infrastructure to capture, analyze and present the data. To identify the limitations and potentialities of the platform, a pilot test was carried out with university students who were being submitted to active educational methodologies in the discipline of Human-Computer Interaction. Based on the evaluation of the results, it was collected some evidence indicating that the use of the platform can help the UX evaluators to carry out their activities in different contexts, using different techniques of UX capture and according to the types of feelings to be measured.