Nature Engagement Outcomes of Viewing Nature Through a 360° Video or a Tablet Screen: Randomized Trial
Bibliographic record
Abstract
BACKGROUND: Nature engagement, including affective and physical interactions with nature, is linked to a multitude of health and well-being benefits. Unfortunately, opportunities for engaging with nature are decreasing worldwide. University students, especially, are a demographic group that tends to engage little with nature. Immersive virtual nature (IVN; ie, digital nature content delivered through immersive devices, such as head-mounted displays) has been proposed as a medium to facilitate nature experiences and engagement. In recent years, 360° nature videos have emerged as an accessible way to create IVN content, although it is still unclear whether they can elicit presence and increase nature engagement to a greater extent than nature videos delivered through nonimmersive media. OBJECTIVE: We aimed to investigate the effectiveness of nature videos as a medium to promote nature engagement among university students, comparing devices with different levels of immersion. Specifically, 2 experimental conditions were tested: a 360° nature video delivered through a head-mounted display (IVN) and a matching video displayed on a tablet screen (nonimmersive virtual nature). METHODS: In total, 38 students were recruited at the library of a university campus and invited to participate in an organized hiking tour at the location displayed during the virtual nature experience. They were then randomized, using a random number generator, to either the IVN (n=20, 53%) or the nonimmersive virtual nature condition (n=18, 47%). Pre- and postexposure assessments of nature connectedness, intention to perform green exercise, intention to visit the hiking location, and intention to participate in the organized hiking tour were collected. Presence, cybersickness, and actual attendance on the tour were also assessed. RESULTS: =0.30). Both conditions were associated with medium to high ratings of "being there" and "sense of reality" but low ratings of "realism." The cybersickness levels were generally low. Of the 38 students, 6 (16%) participated in the organized tour. The mixed ANOVA found no statistical differences between the two conditions for any of the outcomes. The participants' changes in nature connectedness (ρ=0.35; P=.03) and attendance on the hiking tour (ρ=.37; P=.02) correlated with the presence item "being there." CONCLUSIONS: This study provides novel evidence on the potential of virtual nature as a medium to improve nature engagement among university students, adding to the current debate on the effectiveness of 360° videos. These findings can inform future research as well as initiatives seeking to promote nature engagement.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".