Measuring user experience in situ: Use emotion data to assess user experience

Abstract

User Experience is an increasingly critical factor in product success. This study evaluates a new method that uses emotion detection software to capture the emotional data of users in real time while performing specific tasks within an app, and explores how this new method can complement traditional user experience methods such as questionnaires. Our study included N = 200 who were asked to complete three tasks within a health test app while emotion data was captured using the integrated emotion detection software. Results when clustering these emotion data show that the user experience acquired in the task is consistent with the emotion data valence. In addition, we found that a user emotion profile can be established to better characterize user experience of the participants during each task. This may help designers to better target users and product design.