Integrating technological, cognitive and semantic dimensions in exit sign systems: A systematic literature review and bibliometric analysis

Exit signs are fundamental components of modern safety systems, guiding occupants to safety during emergencies. This study conducts a Systematic Literature Review (SLR) integrated with bibliometric analysis to examine the evolution of sign system research, emphasizing technological innovation, cognitive interpretation, and semantic design. Using data retrieved from the Scopus database and following PRISMA 2020 guidelines, 110 publications were initially identified, with 13 selected for detailed synthesis. The findings reveal that the research focus has shifted from traditional, static signage to adaptive, intelligent, and user-centered systems supported by IoT, AI, and real-time data algorithms. Bibliometric results highlight increasing interdisciplinary collaboration between engineering, psychology, and design fields. The review also underscores the significance of cognitive and behavioral factors, showing how stress, perception, and cognitive load influence evacuation efficiency. Meanwhile, semantic interpretation remains underexplored, suggesting the need for culturally universal sign systems. Future research should integrate smart technologies, cognitive adaptability, and cross-cultural semantics to create responsive, human-centered safety communication systems that can dynamically adapt to real-world emergencies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-31
DOI
https://doi.org/10.5281/zenodo.17801240
Primary Topic
Safety Warnings and Signage
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating technological, cognitive and semantic dimensions in exit sign systems: A systematic literature review and bibliometric analysis

Zenodo (CERN European Organization for Nuclear Research)
Safety Warnings and Signage
article

Integrating technological, cognitive and semantic dimensions in exit sign systems: A systematic literature review and bibliometric analysis

article en

Abstract

Exit signs are fundamental components of modern safety systems, guiding occupants to safety during emergencies. This study conducts a Systematic Literature Review (SLR) integrated with bibliometric analysis to examine the evolution of sign system research, emphasizing technological innovation, cognitive interpretation, and semantic design. Using data retrieved from the Scopus database and following PRISMA 2020 guidelines, 110 publications were initially identified, with 13 selected for detailed synthesis. The findings reveal that the research focus has shifted from traditional, static signage to adaptive, intelligent, and user-centered systems supported by IoT, AI, and real-time data algorithms. Bibliometric results highlight increasing interdisciplinary collaboration between engineering, psychology, and design fields. The review also underscores the significance of cognitive and behavioral factors, showing how stress, perception, and cognitive load influence evacuation efficiency. Meanwhile, semantic interpretation remains underexplored, suggesting the need for culturally universal sign systems. Future research should integrate smart technologies, cognitive adaptability, and cross-cultural semantics to create responsive, human-centered safety communication systems that can dynamically adapt to real-world emergencies.

Zenodo (CERN European Organization for Nuclear Research)
Diponegoro University (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Safety Warnings and Signage
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