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Record W4407014205 · doi:10.21625/archive-sr.v9i1.1161

The Head-Mounted Displays (HMDs): Towards a Playful Approach to Architectural Space

2025· article· en· W4407014205 on OpenAlexaboutno aff

Bibliographic record

VenueARCHive-SR · 2025
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)Head (geology)Computer graphics (images)Computer scienceHuman–computer interactionVisual artsArtAestheticsArchitectural engineeringEngineeringGeologyOperating system

Abstract

fetched live from OpenAlex

This study explores the use of head-mounted displays (HMDs) as augmented fabrication interfaces within the fields of architecture and landscape design. It focuses on the analysis of Augmented Grounds, a landscape installation designed by Soomeen Hahm, Jaeheon Jung, and Yumi Lee. The research is based on an in-depth literature review of this project and the art of gardens, particularly in the context of the Métis International Garden Festival, which serves as the backdrop for this creation. To enhance the analysis, photographic and video materials, as well as data obtained from online interviews, were incorporated. The installation innovatively combines the traditional craft of hand-weaving with the digital precision enabled by HMDs. It offers a contemporary reinterpretation of the textile heritage of the North American Métis Nation by applying a parametric design approach to architecture and landscape. This pioneering approach opens up new horizons in landscape art design by leveraging an innovative fabrication method that redefines the role of interfaces - particularly HMDs - beyond their conventional use in architecture, integrating them seamlessly into artistic and landscape 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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.243
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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