Toward Automated Assessment of User Experience in Extended Reality

Abstract

Designers of extended reality systems need to predict users feedback about designed elements to evaluate their systems. Manual user experience testing can not cover all preferences of users and user-system interactions. To improve and accelerate this process, automated user experience testing is a field of growing interest. Since users’ emotions affect their experience, the automated testing framework should represent users with different emotional states. In this study, we propose an approach to deploy an automated user experience testing framework using BDI test agents which work with a computational model of emotion to regulate their testing behavior.