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Sharing Construction Safety Inspection Experiences and Site-Specific Knowledge through XR-Augmented Visual Assistance

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Pengkun Liu, Jinding Xing, Ruoxin Xiong, Pingbo Tang

Human-Computer Interaction · Submitted 31 May 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim To address these limitations, this study proposed an Extended Reality (XR)-augmented visual assistance framework, including Virtual Reality (VR) and Augmented Reality (AR), that enables capturing and transferring subconscious inspection strategies between workers or workers/machines for a construction safety inspection.

how it is stated · asserted 0.93 read the record →

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arXiv ID2205.15833 (version 1)
Pith IDOUMR6QRC, Pith's permanent record of this paper and its review
CitationJinding Xing, Pengkun Liu, Pingbo Tang, Ruoxin Xiong. "Sharing Construction Safety Inspection Experiences and Site-Specific Knowledge through XR-Augmented Visual Assistance." arXiv:2205.15833 (2022). https://pith.science/paper/OUMR6QRC
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,275 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.09 · human participants 0.63 · controlled comparison 0.05 · randomized assignment 0.02 · states quantitative result 0.57 · compares with prior results 0.06 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Early identification of on-site hazards is crucial for accident prevention in the construction industry. Currently, the construction industry relies on experienced safety advisors (SAs) to identify site hazards and generate mitigation measures to guide field workers. However, more than half of the site hazards remain unrecognized due to the lack of field experience or site-specific knowledge of some SAs. To address these limitations, this study proposed an Extended Reality (XR)-augmented visual assistance framework, including Virtual Reality (VR) and Augmented Reality (AR), that enables capturing and transferring subconscious inspection strategies between workers or workers/machines for a construction safety inspection. The purpose is to enhance SA's training and real-time situational awareness for identifying on-site hazards while reducing their mental workloads.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Early identification of on-site hazards is crucial for accident prevention in the construction industry. background 1.00 0.04 0.03 asserted 1.00
s1 Currently, the construction industry relies on experienced safety advisors (SAs) to identify site hazards and generate mitigation measures to guide field workers. background 1.00 0.04 0.02 asserted 1.00
s2 However, more than half of the site hazards remain unrecognized due to the lack of field experience or site-specific knowledge of some SAs. gap 0.76 0.21 0.04 asserted 1.00
s3 To address these limitations, this study proposed an Extended Reality (XR)-augmented visual assistance framework, including Virtual Reality (VR) and Augmented Reality (AR), that enables capturing and transferring subconscious inspection strategies between workers or workers/machines for a construction safety inspection. contribution 0.83 0.71 0.14 asserted 0.93
s4 The purpose is to enhance SA's training and real-time situational awareness for identifying on-site hazards while reducing their mental workloads. contribution 0.79 0.16 0.14 asserted 0.83

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from argument 0.93.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Early identification of on-site hazards is crucial for accident prevention in the construction industry. Currently, the construction industry relies on experienced safety advisors (SAs) to identify site hazards and generate mitigation measures to guide field workers. However, more than half of the site hazards remain unrecognized due to the lack of field experience or site-specific knowledge of some SAs. To address these limitations, this study proposed an Extended Reality (XR)-augmented visual assistance framework, including Virtual Reality (VR) and Augmented Reality (AR), that enables capturing and transferring subconscious inspection strategies between workers or workers/machines for a construction safety inspection. The purpose is to enhance SA's training and real-time situational awareness for identifying on-site hazards while reducing their mental workloads.

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