Immersive technologies in tourism: potential and prospects for the development of the industry experience economy
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
The COVID-19 pandemic has accelerated the global economy digitalization, which has also affected the international tourism sector. The importance of the experience economy has been increasing in recent years due to the evolution of approaches to doing business, and the use of its tools seems relevant for the tourism sector because the main purpose of acquiring tourist services is to gain a unique experience. This article examines the role of modern technologies in the experience economy and the evolution of immersive technologies and analyzes the attitude of companies and consumers from the USA, Canada and the Russian Federation to virtual reality. The authors provide the benefits of the AR and gamification introduction on tourist routes and explore the possibility of using AR /VR («augmented reality»/«virtual reality») to make a final purchase decision and familiarize with the safety rules on the trip. The article also provides recommendations for AR/VRtours creation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it