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Acceptance and Continuance Usage Intention of Mixed Reality for Australian Healthcare Interprofessional Education
Conference proceeding   Open access   Peer reviewed

Acceptance and Continuance Usage Intention of Mixed Reality for Australian Healthcare Interprofessional Education

David Clark, Golam Sorwar, Fiona Naumann, Deborah Newman, Christina Aggar and Andrew Woods
pp.1-9
Australasian Conference on Information Systems (University of Melbourne, Melbourne, Australia , 04/12/2022–07/12/2022)
12/2022
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Published (Version of record)CC BY-NC V3.0 Open Access
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Published (Version of record)CC BY-NC V3.0 Open

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Abstract

Mixed-Reality Simulated-Learning Healthcare-Training Interprofessional-Education Task-Technology-Fit
Virtual-Reality and augmented-reality are becoming innovative teaching and learning approaches across many industries, including healthcare, especially during the COVID-19 pandemic. However, the adoption rate of this technology is very low, especially in Australian healthcare Interprofessional Education. This study investigates factors influencing adoption and use of mixed-reality technology for Australian healthcare IPE. In this study, a theoretical model based on the Expectation and Confirmation Model and Task Technology Fit is developed and will be tested to determine Australian healthcare professionals’ intentions to continue using mixed-reality for Interprofessional Education through three validated surveys using a voluntary non-probability sampling strategy, over a 10-week period, targeting 124 healthcare professionals at the Tweed hospital, NSW Australia. The research outcome will assist in determining the validity of the proposed hybrid model in the context of MR healthcare training. It may assist in developing a more suitable theoretical framework and future characteristics of MR for healthcare training.

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