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Enhanced Virtual Reality: Exploring an Immersive and Realistic Virtual Reality Training for Nursing

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Published:15 November 2021Publication History

ABSTRACT

Virtual Reality (VR) training is an emerging method, which is widely deployed in more and more applications. Compared with traditional physical training and video games-based training, VR training can not only provide a sense of realism and immersion similar to physical training but can also train at any time and place, saving time and money. However, due to some constraints like lacking reflections of the ambient environment, the realism and immersion of VR training are insufficient. Therefore, in this paper, we propose enhanced VR training which senses the ambient environment and reflects them as dynamic unexpected training tasks to solve the above problems.

References

  1. Joseph Psotka. 1995. Immersive training systems: Virtual reality and education and training. Instructional science 23, 5-6 (1995), 405--431.Google ScholarGoogle Scholar

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  1. Enhanced Virtual Reality: Exploring an Immersive and Realistic Virtual Reality Training for Nursing

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      • Published in

        cover image ACM Conferences
        SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
        November 2021
        686 pages
        ISBN:9781450390972
        DOI:10.1145/3485730

        Copyright © 2021 Owner/Author

        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 15 November 2021

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        • Refereed limited

        Acceptance Rates

        SenSys '21 Paper Acceptance Rate25of139submissions,18%Overall Acceptance Rate174of867submissions,20%
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