Exploring Nursing Students’ Experiences of Empathy and User Experiences in an Immersive Virtual Reality Simulation Game: Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Empathy is associated with better clinical outcomes and patient-care experiences, and it has been demonstrated that training can improve nursing students' empathy. The use of virtual reality (VR) as an experiential learning strategy may increase the empathetic behavior of caregivers. Although much research exists on the use of VR in education, there is still little research on learning empathy in nursing education through immersive VR games that include a head-mounted display and hand controllers. In addition, it is important to study both learning and user experiences in nursing education that utilizes VR technology. OBJECTIVE: This study aims to explore nursing students' experiences of empathy and user experiences in an immersive VR simulation game. METHODS: A cross-sectional design was used. A total of 52 graduating nursing students from 3 universities of applied sciences in Finland participated in the study. The immersive VR simulation game employed in the study was played with a head-mounted display and hand controllers. The instruments used were the Basic Empathy Scale in Adults (BES-A) before the VR simulation gaming session and the Comprehensive State Empathy Scale (CSES) and AttrakDiff 2.0 Scale after the session. RESULTS: The students' overall level of empathy experienced in the immersive VR simulation game was favorable (CSES; mean 2.9, SD 0.57). Participants who had a higher level of empathy (BES-A) before playing the immersive VR simulation game also experienced slightly more feelings of empathy after playing (CSES). However, the association between the measures was not statistically significant (r=0.187, P=.18). The overall empathy (CSES) experienced in the immersive VR simulation game was positively correlated with its subscales. The use of the VR simulation provided a positive user experience in all 4 factors of the AttrakDiff 2.0 Scale. Overall User Experience and Emotion Sharing correlated negatively (r=-0.248, P=.042), as did Attractiveness and Emotion Sharing (r=-0.327, P=.018). Hedonic Quality Stimulation correlated negatively with Cognitive Empathy (r=-0.279, P=.045). CONCLUSIONS: The results of this study indicate that the use of an immersive VR simulation game in nursing education as a means of increasing empathy seems promising and justified. The immersive VR simulation game offered positive user experiences, which further supported the idea of implementing it in education. However, more research is needed on what kinds of VR environments are the most effective in promoting empathy among nursing students. Furthermore, when using VR technology in learning, one should consider that the VR setting must not be too technical but rather simple, straightforward, and predictable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".