Traveling as if playing a game: enhancing the cultural tourism experience of digital natives through gamified digital tools
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
With the rapid development of information technology, the generation raised in digital environments increasingly demands interactive and personalised digital experiences in cultural tourism. This study developed and evaluated a gamified digital tool prototype in a real-world cultural tourism setting, based on user-centered design (UCD) principles and the mechanics–dynamics–aesthetics (MDA) framework. Guided by self-determination theory (SDT), the study examined how specific gamification components fulfil the psychological needs of users and enhance their engagement and knowledge retention. Experimental results showed that the tool significantly increased engagement and knowledge retention among digital native tourists. Structural equation modelling also confirmed that gamification components predict autonomy, competence, and relatedness well, significantly enhancing user engagement. Based on the findings, this study proposes an MDA-based model for gamified digital applications that contribute innovatively to digital transformation and sustainable development of experience-based tourism at heritage sites.
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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 | 0.001 |
| 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 it