In this exhibition, we present the Emotion-Aware Usability Map, a prototype of a web application that combines sentiment analysis and usability issue mapping to support emotionally-informed interface redesign. The demonstration showcases how AI technologies, specifically natural language processing (NLP) and speech-to-text, can be applied to think-aloud usability testing recordings to generate emotion-layered representations of the user journey. This approach enhances traditional usability evaluation by visually exposing emotional friction points and connecting them to specific usability issues encountered during task execution. 
The underlying dataset originates from an iterative usability research project conducted by Netgen for a real-world telecom client. The research focused on optimizing a key contract extension flow that has been iteratively tested and refined over several years. As part of this continuous improvement process, usability tests are conducted regularly on both prototypes and live systems, allowing the team to track how design changes impact usability over time.
The final output is an interactive, step-by-step emotion map that provides a summarized overview of each stage in the user journey, including the overall emotional tone and the list of detected usability issues. In addition to this aggregated view, users can also explore sentiment trajectories for each individual participant, observing how emotional responses unfold across specific steps. The interface presents key user quotes extracted with the help of AI, offering insight into the most critical moments of the experience.