What is it about?
In the construction sector, the results of risk assessments are usually reported in a very limited language of preventive action, which can make them difficult to interpret. This research addresses the problem of how risk assessment methodologies convey their results to construction workers. It focuses on the Level of Preventive Action (Lpac) method, adapted to construction sites, which links quantitative results to levels of preventive control using data from environmental sensors and safety systems, body sensors and locators that capture workers' behaviour and emotional state, integrated with BIM.
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Why is it important?
The communication of risk must adapt to the many variables of each interaction. The Lpac method offers a broad range of preventive control conditions on the physical and human environment that can be transmitted to workers in different ways, applying control banding concepts. Optimising the work environment in real time through human-machine interaction in an artificial intelligence environment is presented as essential for safety in construction.
Perspectives
This article is the result of an interdisciplinary collaboration with Antonio José Carpio de los Pinos, María de las Nieves González García and João Santos Baptista, in which my contribution focuses on the language used to communicate risk to workers.
Dr. Miguel Fernández Álvarez
Universidad Politecnica de Madrid
Read the Original
This page is a summary of: Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment, Theoretical Issues in Ergonomics Science, February 2024, Taylor & Francis,
DOI: 10.1080/1463922x.2024.2318660.
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