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VR-based Equipment Training for Health Professionals Maximilian Rettinger, Niklas Muller, Christopher Holzmann-Littig, Marjo Wijnen-Meijer, Gerhard Rigoll, Christoph Schmaderer CHI '21: The 2021 ACM CHI Conference on Human Factors in Computing Systems Session: Late-Breaking Work Day 1 - E Abstract It is common knowledge that health professionals' device training is a major problem, as the inadequate quality of device training puts patients at risk. To find a way to counter this problem, we propose a virtual reality training simulation. The corresponding use case is exemplified by a priming procedure of a dialysis machine. This is achieved by users going through sequential interaction tasks in Virtual Reality Training using a head-mounted display. We evaluate this training method's potential within a user study, comparing it to traditional training methods, Group Training, and Video Training. Our findings demonstrate that Virtual Reality Training using a head-mounted display is a more effective and efficient method of learning how to prime a dialysis machine. Compared to other training methods, Virtual Reality Training takes longer on average, but the resulting learning effect is also higher. Furthermore, VR-training is more cost-effective than personal training and can be repeatedly performed as it dispenses with the need for teaching professionals. DOI:: https://doi.org/10.1145/3411763.3451766 WEB:: https://chi2021.acm.org/ Pre-recorded Presentations for the ACM CHI Virtual Conference on Human Factors in Computing Systems, May 8-13, 2021