Towards the Creation of Tools for Automatic Quality of Experience Evaluation with Focus on Interactive Virtual Environments

This paper contains the research proposal of Juan Antonio De Rus presented at the IMX 23 Doctoral Symposium. Virtual Reality (VR) applications are already used to support diverse tasks such as online meetings, education, or training, and the usages grow every year. To enrich the experience VR scenarios, include multimodal content (video, audio, text, synthetic content) and multi-sensory stimuli are typically included. Tools to evaluate the Quality of Experience (QoE) of such scenarios are needed. Traditional tools used to evaluate the QoE of users performing any kind of task typically involves surveys, user testing or analytics. However, these methods provide limited insights for our tasks with VR and have shortcomings and a limited scalability. In this doctoral study we have formulated a set of open research questions and objectives on which we plan to generate contributions and knowledge in the field of Affective Computing (AC) and Multimodal Interactive Virtual Environments. Hence, in this paper we present a set of tools we are developing to automatically evaluate QoE in different use cases. They include dashboards to monitor in real time reactions to different events in the form of emotions and affections predicted by different models based on physiological data, as well as the creation of a dataset for AC and its associated methodology.