Description The physiological signals in this study were collected from four operators working on a real-world assembly line. The line consisted of one manual workstation and one collaborative workstation involving human-robot interaction. The setup was provided by Silverline Appliances Co., an industrial partner in the AI-PRISM project. Silverline manufactures home appliances, and the experiment took place at the labeling and testing stations of the hood assembly line. The first workstation focused on functional tests to verify product operability, while the second handled cleaning and labeling of the hood. The dataset includes signals derived from cardiovascular and ocular activity. Cardiovascular signals were recorded using an ECG chest band, and ocular signals were captured via eye-tracking glasses. Data files Each .zip file corresponds to one of the four operators. Inside each .zip, you will find four folders: blinks, fixations, saccades, and ECG data. These folders contain .csv files from multiple recording sessions. Each .csv file is organized into columns with features specific to its category (blinks, fixations, saccades, ECG) and generic identifiers such as: Worker ID Experiment Name Event Label Event Group Start End Timestamp The Event Label column indicates the task the operator was performing at a given moment. For eye-tracking data, it may also include information about the stimulus the operator was looking at (e.g., task_name or worker(colleague)). Similarly, the Event Group column primarily identifies the product numbers handled during that recording session. For eye-tracking data, it can also indicate whether the operator was looking at a product or another worker. For ECG data, the Start and End columns mark the beginning and end of the event described in Event Label, while Timestamp specifies when the data was collected.