The Democratization of AR : Prospects for the Development Of an Augmented Reality App in the Realm of Spatial Design
Bibliographic record
Abstract
<p>Despite the growing popularity of augmented reality technologies in many different industries, there is still an untapped opportunity for its implementation in the realm of interior design. Consumer needs and demands evolve constantly, and with that comes the need to develop augmented reality applications that focus more on the users' experiences and specific preferences. This research paper presents a framework for creating a mobile AR design application that will allow its users to explore the home designing process with their own hands. A SWOT analysis of the current AR applications in the field is provided to justify the need for the novel invention. Overall the research aims to democratize the AR technology, making it more accessible to the general consumer and adding value with features missing from the current augmented reality app developments in the design sphere. The paper also presents opportunities for future developments of the application that would further enhance the user experience.</p>
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| 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 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".