An education system for hazard prediction in midwifery tasks using virtual reality

Abstract

　In this study, we developed a system designed to evaluate and train midwives′ ability to predict possible dangers in midwifery procedures before and after childbirth. Using a virtual reality headset, a 3D-computer graphics generated delivery room can be accessed. This approach provides a simulated learning experience where actions to be taken at potentially hazardous points can be chosen by the user. To generate a realistic virtual delivery room, the system displays exclusive instruments using 3D scan data and characters representing pregnant and parturient women by using 3D scan data to construct a model. The position of the user′s eyes is measured continuously. When the user′s viewpoint in the scenario reaches a dangerous point in the procedure, a question board appears to allow the user to select an appropriate counterplan. Fourteen midwives and eighteen midwifery students used the system and then evaluated the virtual delivery room and the counterplan choices in response to the designated danger points. We found that more than 80% of the subjects evaluated the virtual delivery room as being similar to a real one, and more than 90% of the subjects evaluated that they were able to make counterplan choices for the gaze positions.