Print Email Facebook Twitter Designing and evaluating a social VR clinic for knee replacement surgery Title Designing and evaluating a social VR clinic for knee replacement surgery Author Chen, Guo (TU Delft Industrial Design Engineering) Contributor de Ridder, Huib (mentor) Cesar Garcia, Pablo (mentor) Degree granting institution Delft University of Technology Programme Design for Interaction Date 2019-08-30 Abstract Knee osteoarthritis, the most common form of arthritis, which results in stiffness, pain, and impaired movement, is a major cause of disability in elderly populations around the globe. In the course of treating this disease, patients have to endure enormous pains travel to hospitals to meet medical professionals. The motivation behind this project is to support those patients with limited physical mobility to travel fewer times to the hospital but still, communicate well with doctors and nurses. The goal is to build a VR clinic that simulates the real consultation room and facilities in the hospital. An ethnographic study was conducted at a local hospital in Delft to map the patient treatment journey from the first consultation meeting to the last meetings after surgery. The patient education part of the patient journey was chosen as the focus of this thesis since it involves most of the patient-nurse communications compared to other parts of the journey. Based on the results of the ethnographic study, a social VR clinic was designed and implemented to assist the nurse in explaining the treatment process, and to show the anatomy models and the surgery room to the patient. The main contribution of this thesis is the design and evaluation of a social VR clinic, based on the use case of knee pain treatment. Future research can expand the consultation to other diseaseses, explore the impact of using more realistic avatars on the VR clinal experience. Other perspectives can be probed into to describe user portraits on their attitude of having VR consultations. Subject Social VRMedisignMedical communication To reference this document use: http://resolver.tudelft.nl/uuid:9255ff17-a051-4914-906a-91da6277880d Part of collection Student theses Document type master thesis Rights © 2019 Guo Chen /islandora/object/uuid:9255ff17-a051-4914-906a-91da6277880d/datastream/OBJ2/view