Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 253

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

BIM-based immersive Virtual Reality for construction workspace planning: A safety-oriented approach

Getuli, Vito, Capone, Pietro, Bruttini, Alessandro, Isaac, Shabtai·2020·Automation in Construction

Abstract

Abstract Effective workspace planning is known to play a crucial role in site planning and construction activity scheduling. This research seeks to enhance the usual manual workspace planning process by simulating a construction activity using both immersive Virtual Reality and Building Information Modeling technologies. Workspace planning is improved by eliciting experienced workers' knowledge and integrating it with construction managers' knowledge. The workers' knowledge is elicited both directly, by asking them for feedback during the activity simulation, and indirectly, by collecting and analysing position tracking data. The application of this approach in a real case study demonstrates its beneficial impact in terms of the sharing of planning and safety-related information between project partners and its formal representation in a Health and Safety Plan.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.autcon.2020.103160

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 33 references

Cited by

See all 253

Metadata

Authors
Getuli, V., Capone, P., Bruttini, A., & Isaac, S.
Venue
Automation in Construction
Publisher
Elsevier BV
Published
2020-06
Volume
114
Pages
103160
ISSN
0926-5805 (ISSN-L)
OpenAlex
W3011392803
Cited by
253
References
33
FWCI
17.96
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: BIM-based immersive Virtual Reality for construction workspace planning: A safety-oriented approach. https://app.cochat.ai/papers/10.1016/j.autcon.2020.103160
The paper
Getuli, V., Capone, P., Bruttini, A., & Isaac, S. (2020). BIM-based immersive Virtual Reality for construction workspace planning: A safety-oriented approach. Automation in Construction. https://doi.org/10.1016/j.autcon.2020.103160

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.