This paper introduces the notion of affective extended reality (XR) to characterise XR systems that use biodata to enable understanding of emotions. The HCI literature contains many such systems, but they have not yet been mapped into a coherent whole. To address this, we conducted a scoping review of 82 papers that explore the nexus of biodata, emotions, and XR. We analyse the technologies used in these systems, the interaction techniques employed, and the methods used to evaluate their effectiveness. Through our analysis, we contribute a mapping of the current landscape of affective XR, revealing diversity in the goals for enabling emotion sharing. We demonstrate how HCI researchers have explored the design of the interaction flows in XR biofeedback systems, highlighting key design dimensions and challenges in understanding emotions. We discuss underused approaches for emotion sharing and highlight opportunities for future research on affective XR.

eHealth technology is being developed at a rapid rate in line with advances in Information and Communication Technology (ICT). As eHealth technology increases, ensuring equitable accessibility and usability for all end-users is becoming a significant challenge. Considering human factors in the design phase of an application will help ensure usability and accessibility gaps are addressed. We conducted a survey with a broad range of users to investigate the relationship between different human factors and design elements that address these human factors. From the survey results, we developed a high-fidelity design prototype which we validated with a usability study to enhance the usability and accessibility for diverse end-users.