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VR-based Equipment Training for Health Professionals

Published: 08 May 2021 Publication History

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.

References

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Sabine Bohnet-Joschko, Claus Zippel, and Hartmut Siebert. 2015. Prävention Medizintechnik-assoziierter Risiken im Krankenhaus: Spezifizierung der APS-Empfehlungen für Anwender und Betreiber von Anästhesiegeräten. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 109, 9(2015), 725 – 735. https://doi.org/10.1016/j.zefq.2015.06.001 Qualitätsmessung und Qualitätsmanagement mit Routinedaten.
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Cited By

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  • (2024)Optimizing Medical Device Training: The Role of Multi-User VR and Expert GuidanceCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681883(403-409)Online publication date: 11-Nov-2024
  • (2024)Toward Facilitating Search in VR With the Assistance of Vision Large Language ModelsProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687742(1-14)Online publication date: 9-Oct-2024
  • (2024)Choosing the Right Reality: A Comparative Analysis of Tangibility in Immersive Trauma SimulationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641912(1-17)Online publication date: 11-May-2024
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cover image ACM Conferences
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
May 2021
2965 pages
ISBN:9781450380959
DOI:10.1145/3411763
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 08 May 2021

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Author Tags

  1. Dialysis
  2. Equipment Training
  3. Instruction Manual
  4. Medical Training
  5. User Studies
  6. VR
  7. Virtual Reality

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Cited By

View all
  • (2024)Optimizing Medical Device Training: The Role of Multi-User VR and Expert GuidanceCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681883(403-409)Online publication date: 11-Nov-2024
  • (2024)Toward Facilitating Search in VR With the Assistance of Vision Large Language ModelsProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687742(1-14)Online publication date: 9-Oct-2024
  • (2024)Choosing the Right Reality: A Comparative Analysis of Tangibility in Immersive Trauma SimulationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641912(1-17)Online publication date: 11-May-2024
  • (2024)Visual Complexity in VR: Implications for Cognitive Load2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00188(783-784)Online publication date: 16-Mar-2024
  • (2023)Touching the future of training: investigating tangible interaction in virtual realityFrontiers in Virtual Reality10.3389/frvir.2023.11878834Online publication date: 4-Aug-2023
  • (2023)An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR ApplicationProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638387(604-623)Online publication date: 2-Dec-2023
  • (2023)Tangible Immersive Trauma Simulation: Is Mixed Reality the next level of medical skills training?Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581292(1-17)Online publication date: 19-Apr-2023
  • (2023)Collaborative VR: Conveying a Complex Disease and Its Treatment2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW58643.2023.00133(581-582)Online publication date: Mar-2023
  • (2023)Enhancing VR Training: Impact of Information Transfer Methods2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00111(513-518)Online publication date: 16-Oct-2023
  • (2023)Effects of Object Complexity in Occlusion, Structure, and Texture on 3D Virtual Object Observation in Virtual Reality2023 Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII)10.1109/CEII60565.2023.00013(24-28)Online publication date: 15-Dec-2023
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