Designing Mind(set) and Setting for Profound Emotional Experiences in Virtual Reality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Virtual reality (VR) has the potential to support profound emotional experiences, such as experiencing awe when virtually viewing the Earth from space. In doing so, VR can potentially both give people positive emotional experiences contributing to their overall well-being and give researchers a way to study these profound emotional experiences in a more controlled environment. Through a design refinement process, we explored the potential influence of the "set and setting''--one's mindset and the physical and social environment--when transitioning people into and out of VR designed to support profound emotional experiences. We present our findings from a design refinement session and a case study exploring how set and setting may support the profound emotional experience of awe. We discuss common themes in user experience and trends of awe-related behavioural and introspective measures. Our results contribute to the discourse around the role of the design of set and setting in overall user experience.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it