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Record W4220695606 · doi:10.36680/j.itcon.2022.013

Evaluating the use of virtual reality for maintainability-focused design reviews

2022· article· en· W4220695606 on OpenAlex
Devarsh Bhonde, Puyan A. Zadeh, Sheryl Staub‐French

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Information Technology in Construction · 2022
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMaintainabilityUsabilityVirtual realityEngineeringHuman–computer interactionComputer scienceSystems engineeringReliability engineeringSoftware engineering

Abstract

fetched live from OpenAlex

The Operation and Maintenance (O&M) phase can account for as much as 80% of the overall lifecycle cost of a project. The inputs from O&M practitioners are often not incorporated during the design phase leading to maintainability issues during the O&M phase, which results in significant costs and hinders building performance. Traditionally, design communication with practitioners is conducted using 2D drawings and in some more advanced projects, with Building Information Models (BIMs). Virtual Reality (VR) has the potential to facilitate maintainability-focused design input from O&M practitioners, but this application has not been studied in detail. This paper addresses the gap by examining the usability of VR for providing access-related maintainability inputs. A quasi-experimental approach was adopted to evaluate the difference in access-related inputs provided by sixteen O&M practitioners, once using 2D drawings and BIM and again using VR. We assessed the variation in time for O&M practitioners to provide the inputs and the perceived quality of the inputs using the two design communication methods. We also examined the effect of practitioners' years of experience on providing access-related maintainability inputs using VR. The results suggest that there was no statistically significant difference in the access-related maintainability inputs provided using the two design communication methods, which demonstrates that O&M practitioners could provide similar access-related inputs using VR and traditional means of communication using 2D drawings and 3D models. The results also show that O&M practitioners were able to provide inputs significantly faster using VR. The O&M practitioners also reported that VR facilitated ease of use and high confidence in their inputs. Furthermore, the practitioners' years of experience did not lead to any variation in the access-related inputs provided and the time efficiency of providing the inputs. While the small sample size limits the generalizability of the results, the study acts as a proof of concept on the usability of VR for improving O&M practitioner input on the maintainability of building designs.

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 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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.072
GPT teacher head0.304
Teacher spread0.232 · 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