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Designing, implementing and testing an intervention of affective intelligent agents in nursing virtual reality teaching simulations - A qualitative study

Loizou, Michael; Arnab, Sylvester; Lameras, Petros; Hartley, Thomas; Loizides, Fernando; Kumar, Praveen; Sumilo, Dana

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Authors

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Dr Michael Loizou Michael2.Loizou@uwe.ac.uk
Wallscourt Associate Professor in Health Technology and Life Sciences

Sylvester Arnab

Petros Lameras

Thomas Hartley

Fernando Loizides

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Dr Praveen Kumar Praveen.Kumar@uwe.ac.uk
Associate Professor in Stroke Rehabilitation

Dana Sumilo



Abstract

Emotions play an important role in human-computer interaction, but there is limited research on affective and emotional virtual agent design in the area of teaching simulations for healthcare provision. The purpose of this work is twofold: firstly, to describe the process for designing affective intelligent agents that are engaged in automated communications such as person to computer conversations, and secondly to test a bespoke prototype digital intervention which implements such agents. The presented study tests two distinct virtual learning environments, one of which was enhanced with affective virtual patients, with nine 3rd year nursing students specialising in mental health, during their professional practice stage. All (100%) of the participants reported that, when using the enhanced scenario, they experienced a more realistic representation of carer/patient interaction; better recognition of the patients' feelings; recognition and assessment of emotions; a better realisation of how feelings can affect patients' emotional state and how they could better empathise with the patients.

Citation

Loizou, M., Arnab, S., Lameras, P., Hartley, T., Loizides, F., Kumar, P., & Sumilo, D. (2024). Designing, implementing and testing an intervention of affective intelligent agents in nursing virtual reality teaching simulations - A qualitative study. Frontiers in Digital Health, 6, Article 1307817. https://doi.org/10.3389/fdgth.2024.1307817

Journal Article Type Article
Acceptance Date Apr 3, 2024
Online Publication Date Apr 18, 2024
Publication Date Apr 18, 2024
Deposit Date Apr 15, 2024
Publicly Available Date May 10, 2024
Journal Frontiers in Digital Health
Electronic ISSN 2673-253X
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 6
Article Number 1307817
DOI https://doi.org/10.3389/fdgth.2024.1307817
Keywords virtual, reality, intelligent, affective, VR, simulation, nursing, teaching
Public URL https://uwe-repository.worktribe.com/output/11897737

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