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RescuAR: A Self-Directed Augmented Reality System for Cardiopulmonary Resuscitation Training

Hamraz Javaheri; Agnes Grünerbl; Eloise Monger; Mary Gobbi; Jakob Karolus; Paul Lukowicz
In: Pervasive Computing Technologies for Healthcare, 17th International Conference, Proceedings. EAI International Conference on Pervasive Computing Technologies for Healthcare (EAI PervasiveHealth-2023), November 27-29, Malmö, Sweden, Springer, 2023.


In recent years, the adoption of augmented reality (AR) technology for healthcare education has gained significant attention. Especially in life-critical situations, such as cardiopulmonary resuscitation (CPR) where sufficient medical training is essential and traditional methods are often limited due to availability constraints. We present RescuAR, a self-directed AR-based CPR training system enhancing CPR skill acquisition and retention by leveraging immersive AR experiences and real-time feedback using sensing modalities. RescuAR was designed and implemented as a self-directed AR application based on survey findings with 11 healthcare professionals, incorporating both theory and practice phases. To evaluate the effectiveness of RescuAR, a randomized controlled user study was conducted involving n = 43 participants, including nurse students and laypeople. The experimental group used RescuAR for CPR training, while the control group underwent traditional teaching and training sessions. The results of the user study revealed that RescuAR significantly improved the overall effective CPR performance, surpassing the outcomes achieved through traditional teaching methods. In conclusion, RescuAR’s self-directed and autonomous approach to CPR training shows promising results in improving CPR performance and has the potential to transform CPR education.