# Concept of Virtual Reality Training of Facility Management Employees Using Eye Tracking
## 2 Creation of a Virtual Reality Scenario with Eye-Tracking Capabilities  
To conduct training in virtual reality, three training and evaluation VR modules were created based on scenarios of learning how to operate selected equipment. In addition, one VR training module was built so that the employee could learn how to use the VR environment before the training. The process of creating a VR module was divided into three stages [1]: (1) training task analysis, (2) training scenario sketching, and (3) implementation. Each scenario consists of training an employee to perform a given FM task and evaluating how the employee performs FM tasks after the training. During the training, we have step-by-step instructions on completing the task, which will be passed after its correct completion. We perform the same tasks during the evaluation without guidance so that the employee can make mistakes. Therefore, each VR module can be defined as a training and evaluation module. The training task analysis was aimed at determining the information needed to perform a specific training task and summarizing all factors related to the training system during the design process. The selection of scenarios and work performed was determined by the FM specialist based on real-life training. After the set of FM tasks was determined, each task was analyzed using hierarchical task analysis (HTA). Tasks are divided into subtasks, expressing the relationship between the parent task and its subtasks using a numbering scheme. This allowed for a clear diagram of the task's high- and low-level steps. The scenario sketching, also called scenario design, needed to assume a set of detailed descriptions of how people accomplish a task. Each interaction point determined a set of parameters about the correctness of the performed activities. Therefore, the critical part of the VR module was to select at least eight categories of data to be collected during the VR scenario with eye tracking. The activities were divided into two main groups:  
* Time length of activities, visual fixation, staying in one location, and total time;
* Number of mistakes, successes, places of eyesight fixation, and sequence of actions. The total number of parameters relates to the number and specificity of selected activities performed in subsequent FM tasks. The data are collected while performing FM activities during training and evaluation. An example of FM tasks would be checking the operating mode of the control panel, which comprises the following:  
1. Going to the control panel. 2. Finding a black button at the bottom of the control panel. 3. Checking or setting the button to \"auto\" mode. 4. Marking the task as complete. Therefore, the critical parameters for the implementation of these tasks are not only the order and time of execution but also the operator's concentration on performed tasks using eye-tracking analysis. As in the example, if the person did not check whether the \"auto\" mode was set but only marked the answer, regardless of the correctness of the statement, we can verify it by eye movement analysis. Therefore, the eye movement analysis allows for a much more comprehensive range of information about the participant's focus on critical elements of devices and the correctness of their actions. The choice of behavior is reflected in gaze location. People tend to look longer at an option they choose than others, indicating that spending more time on the irrelevant choice results in worse learning [24]. When creating an FM activity, we should focus on two aspects: the knowledge the user must acquire during the training and the analysis of performed activities with eye-tracking capabilities. The settings of each VR module must consider a significant number of eye-tracking aspects, including an ample space allowing the participant to move around and highlight parts of tools. Such solutions allow an immersive virtual environment to enhance training effectiveness [16].