VR-based Equipment Training for Health Professionals

Maximilian Rettinger, Niklas Müller, Christopher Holzmann-Littig, Marjo Wijnen-Meijer, Gerhard Rigoll, Christoph Schmaderer

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

15 Zitate (Scopus)

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 [2]. 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.

OriginalspracheEnglisch
TitelExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
Herausgeber (Verlag)Association for Computing Machinery
ISBN (elektronisch)9781450380959
DOIs
PublikationsstatusVeröffentlicht - 8 Mai 2021
Veranstaltung2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021 - Virtual, Online, Japan
Dauer: 8 Mai 202113 Mai 2021

Publikationsreihe

NameConference on Human Factors in Computing Systems - Proceedings

Konferenz

Konferenz2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021
Land/GebietJapan
OrtVirtual, Online
Zeitraum8/05/2113/05/21

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