Rastreamento de experiência de usuário em sistemas interativos Web

Abstract

The concept of User Experience (UX) has been used to achieve improvements in digital informa- tion systems based on how people perceive them. Considering the digital inclusion movement and the consequent growth in the need to provide a satisfactory user experience, research on UX assessment methods becomes essential to keep up with technological changes and promote the necessary adjustments. Despite the advancement of scientific production in the field of UX, there are still relevant gaps that highlight the need to develop new methodologies and tools that aim to provide more accurate UX assessment, given the growing demand for user-friendly applications and learning, resulting from ongoing technological and social transformations. In this context, the present work aims to develop and evaluate a user experience analysis tool capable of providing qualitative and quantitative artifacts, based on the association of interaction tracking data and UX heuristics. The methodology developed for this exploratory research has as main pillars the quantitative and qualitative methods, based on data obtained from interviews, questionnaires, in addition to the analysis of generated documents and artifacts, eye tracking, mouse, keylogging and machine learning. For the execution of the study, the T2-UXT tool (Tracking Techniques User eXperience Tool) was developed, created to perform interaction data collection by multiple data entries, the tool was evaluated in two case study scenarios. distinct areas of knowledge. For the representation of interaction data, two graphic visualization options were developed, in addition to a metrics analysis table and integration with external algorithms, which allowed for more detailed analysis using Artificial Intelligence. From this it was verified that the T2-UXT is able to assist in the evaluation of UX through artifacts that can be used as a reference for modifications and customizations in graphical interfaces.