Development of an Immersive Virtual Reality Prototype to Explore the Social Mechanisms of the Last Planner® System
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
A successful implementation of the Last Planner® System (LPS) requires not only education on its principles, but also managing social mechanisms it brings up to reach outstanding outcomes.Simulation games have been widely applied to teach LPS principles, but they do not seem to appropriately capture the social mechanisms due to lack of socio-technical realism and inadequate gaming controls (i.e., control external factors other than one of interest).Immersive Virtual Reality (IVR) technology has the potential to reveal the LPS's social mechanisms by providing a highly-controlled and realistic simulation environment.However, how to effectively leverage IVR for LPS simulation is not well understood.In order to bridge this gap, we identified the essential elements that an IVR simulation should have to study the LPS social mechanisms.We then developed and tested a multi-user IVR prototype with the identified elements to simulate the LPS use in a "hypothetical" construction scenario.The results show that the prototype is feasible for studying LPS's social mechanisms.This study lays a foundation for future research in using IVR simulation games to study LPS social mechanisms.
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