How Does Human-Centred Extended Reality Support Healthcare Students’ Learning in Clinical Conditions?
Mikkonen, Kristina; Ferdinando, Hany; Sobocinski, Marta; Kuivila, Heli; Pramila-Savukoski, Sari; Vhitehead, Tugba; Ropponen, Paula; Myllylä, Teemu; Paunonen, Jari; Halili, Erson; Koutonen, Joel; Taikina-Aho, Juha-Matti; Siipo, Antti; Järvelä, Sanna (2024-05-05)
Springer
05.05.2024
Mikkonen, K. et al. (2024). How Does Human-Centred Extended Reality Support Healthcare Students’ Learning in Clinical Conditions?. In: Särestöniemi, M., et al. Digital Health and Wireless Solutions. NCDHWS 2024. Communications in Computer and Information Science, vol 2083. Springer, Cham. https://doi.org/10.1007/978-3-031-59080-1_13
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© 2024 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
https://creativecommons.org/licenses/by/4.0/
© 2024 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202405133350
https://urn.fi/URN:NBN:fi:oulu-202405133350
Tiivistelmä
Abstract
Healthcare education needs to be reformed to sustain quality, faster response to crises and ensure a rapid and efficient graduation path for future healthcare professionals. In this study, our multidisciplinary team has developed and tested a Human-centred extended reality (XR) to solve challenges in healthcare by connecting humans to technology in a human-centred, ethical way and by empowering end users through social innovation. In our study, we aimed to develop an intuitive XR virtual simulation environment with realistic scenarios and metahuman avatars, enabling team interaction to test and analyse participants’ real-time adaptation through a combination of neurophysiological and behavioural data collected by wearable sensors. This novel research offers a solution to complement clinical placements of nursing and medical students and ensure that students achieve the required competencies even if unexpected situations or crises threaten to interrupt the practice of competencies in real-life environments. Furthermore, by utilising the neurophysiological data, we can assess the learning event based on analysis of the recorded signals. The XR solutions can reduce nursing and medical students’ stress levels and enhance their resilience to work effectively in collaborative interprofessional teams.
Healthcare education needs to be reformed to sustain quality, faster response to crises and ensure a rapid and efficient graduation path for future healthcare professionals. In this study, our multidisciplinary team has developed and tested a Human-centred extended reality (XR) to solve challenges in healthcare by connecting humans to technology in a human-centred, ethical way and by empowering end users through social innovation. In our study, we aimed to develop an intuitive XR virtual simulation environment with realistic scenarios and metahuman avatars, enabling team interaction to test and analyse participants’ real-time adaptation through a combination of neurophysiological and behavioural data collected by wearable sensors. This novel research offers a solution to complement clinical placements of nursing and medical students and ensure that students achieve the required competencies even if unexpected situations or crises threaten to interrupt the practice of competencies in real-life environments. Furthermore, by utilising the neurophysiological data, we can assess the learning event based on analysis of the recorded signals. The XR solutions can reduce nursing and medical students’ stress levels and enhance their resilience to work effectively in collaborative interprofessional teams.
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