Comparing Methods for Integrating Personalized eXtended Reality in Stroke Rehabilitation

Stroke results in long-term motor and cognitiveimpairments, making rehabilitation essential for therecovery of quality of life. However, traditionalapproaches lack personalization, limiting their ability toadapt to the need/progress of each individual. Recentadvances in eXtended Reality (XR) offer promising avenuesto deliver tailored, engaging experiences. Thesepersonalized environments can be configured automaticallythrough adaptive algorithms or manually by healthcareprofessionals, enabling more responsive and motivatingrehabilitation sessions. This means that even whenrehabilitation is delivered individually, the process isinherently social, requiring ongoing involvement fromprofessionals, which means that Personalized XR must beunderstood as extending beyond a single isolated activity.This work identifies, compares, and discusses existingmethods for integrating personalization into XR-basedstroke rehabilitation. By analyzing distinctcharacteristics, the study aims to highlight currentstrengths, limitations, and opportunities for improvement.Ultimately, enhancing personalization in XR rehabilitationcould increase survivors' adherence, motivation, andoverall quality of life.