Visual communication design in laboratory safety effectiveness and optimization of warning signs

This study proposes a comprehensive framework for evaluating and optimizing laboratory warning sign systems, grounded in the principles of visual communication design, cognitive psychology, and safety management. A mixed-methods experimental design involving 120 participants was employed, integrating eye-tracking analysis, comprehension and memory assessments, and behavioral response evaluations. The results identified key factors contributing to the effectiveness of warning signs, including color contrast ratio, symbol standardization, and information hierarchy. A validated optimization procedure was developed, emphasizing visual detectability, information organization, and contextual relevance. It led to significant improvements in attention capture (35.9%), hazard detection accuracy (42.3%), and procedural compliance (37.8%). Evidence-based design specifications for laboratory warning signs were established to balance standardization requirements with the need for contextual adaptation across diverse laboratory environments. These specifications were further validated through a case study conducted at Fujian University of Technology, demonstrating the effective translation of theoretical frameworks into enhanced safety communication practices.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-02
DOI
https://doi.org/10.1038/s41598-025-26061-6
Citations
1
Primary Topic
Safety Warnings and Signage
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visual communication design in laboratory safety effectiveness and optimization of warning signs

Qinghua Ren, Yueyue Weng
1 citations
Scientific Reports
Safety Warnings and Signage
2.44
article

Visual communication design in laboratory safety effectiveness and optimization of warning signs

Qinghua Ren, Yueyue Weng
article en
1 citations

Abstract

This study proposes a comprehensive framework for evaluating and optimizing laboratory warning sign systems, grounded in the principles of visual communication design, cognitive psychology, and safety management. A mixed-methods experimental design involving 120 participants was employed, integrating eye-tracking analysis, comprehension and memory assessments, and behavioral response evaluations. The results identified key factors contributing to the effectiveness of warning signs, including color contrast ratio, symbol standardization, and information hierarchy. A validated optimization procedure was developed, emphasizing visual detectability, information organization, and contextual relevance. It led to significant improvements in attention capture (35.9%), hazard detection accuracy (42.3%), and procedural compliance (37.8%). Evidence-based design specifications for laboratory warning signs were established to balance standardization requirements with the need for contextual adaptation across diverse laboratory environments. These specifications were further validated through a case study conducted at Fujian University of Technology, demonstrating the effective translation of theoretical frameworks into enhanced safety communication practices.

Scientific ReportsVol. 15(1)
Fujian University of Technology (CN)
Openalex Percentile: Top 8%
Safety Warnings and Signage
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.