This study focuses on the design and evaluation of an innovative training protocol aimed at working at heights in the construction sector in the city of Cali. The main focus of this protocol lies in the use of Immersive Virtual Reality (IVR) and the measurement of biosignals to enhance workers' safety and preparedness. The training protocol is developed by creating virtual environments that simulate hazardous working conditions, allowing workers to practice high-risk situations safely and effectively. Additionally, the integration of biosignal measurements, such as heart rate variability and respiratory rate, is used to assess workers' stress levels and decision-making abilities during simulations.

The protocol evaluation is conducted through a pilot study with real workers in the construction field. The results are analyzed to determine whether the use of IVR and biosignal measurement improves assertiveness and, therefore, safety, reduces workplace accidents, and increases workers' confidence in high-risk environments. The findings of this study will provide valuable insights into the effectiveness of IVR and biosignal measurement as training tools in the construction sector, which could have a significant impact on reducing workplace accidents and injuries. This innovative approach has the potential to enhance occupational safety and workers' preparedness in high-risk environments, thereby contributing to a safer and more efficient working environment in the construction industry.

Safety in the construction sector is of vital importance, especially in high-risk activities such as excavations and working at heights. To improve worker training and preparation in these areas, this research proposal has been developed.

This project focuses on the use of advanced technology, such as Immersive Virtual Reality, to simulate real work situations and allow workers to practice and acquire the necessary skills to face the challenges of their daily tasks. However, what makes this project particularly interesting is the incorporation of biosignal measurement during training.

Biosignals are physiological indicators that can be measured and analyzed to assess an individual's emotional and physical state. In this context, devices will be used to capture data such as heart rate, respiratory rate, and their variability. These measurements will provide precise information about the worker's reactions to different simulated situations, which will, in turn, help identify areas for improvement and optimize the training protocol.

The main contribution of this project lies in generating new knowledge about how biosignals can be used as a complementary tool in the design and evaluation of training protocols for workers in high-risk activities. The information obtained through biosignal measurement will allow for the identification of patterns and trends that will help better understand workers' physiological and emotional reactions, as well as their performance in critical situations.

This clinical trial compares two training methods for workers at heights, one using Immersive Virtual Reality (IVR) in addition to the conventional training, and the other using only the conventional training. The main questions to be answered are:

What is the impact of the IVR training protocol on the acquisition of knowledge and practical skills of workers in high-risk activities compared to traditional training?

Is there a relationship between immersive Virtual Reality training and the physiological response to stressful situations in high-risk activities, through the recording of biosignals taken during the intervention?

The researchers will compare the two forms of training and identify if there are differences in both fitness and cardiorespiratory response.

Participants in the control group will perform practical work at heights while heart rate, respiratory monitoring, and ergonomic analysis of the activity will be performed. The participants of the intervention group, in addition to the above, will be exposed to virtual reality environments as part of the training of work at heights, this will be before the actual practical part.

Inclusion Criteria:

• Learners from the National Learning Service (SENA).
• First time taking the work at heights training course.

Exclusion Criteria:

• Experience in working at heights.
• Health conditions that prevent performing both the IVR training and work at heights.

Once the research is completed, only data that are useful for obtaining results will be stored in www.figshare.com and placed under embargo until they are published in a scientific journal. No sensitive or personal data will be uploaded to this repository.

The data will be open access once it has been approved for publication in a scientific journal, these data will be permanently available.

The data will be open access, only information relevant to the research objectives will be included. No identifying data or any other sensitive data will be included.

The analysts who perform the statistical analysis of the data will be blinded to the group assignments of the participants. This means that they will not know which participants received the immersive virtual reality training and which received the standard theoretical training. During data collection and management, the data will be anonymized and coded to prevent any identification of the participant's group assignment by those handling the data.