This repository contains the research done by the Operator 4.0 Research Laboratory for Dual-Task Awareness.
This dataset was collected from an exploratory dual-task experiment conducted to investigate attentional demands and physiological correlates of situational awareness in industrial-like multitasking scenarios. The experiment involved 12 participants performing a manual screwing task while simultaneously responding to a Go/No-Go attentional test designed to emulate real-world industrial multitasking demands. Physiological data including electrocardiogram (ECG) and electrodermal activity (EDA), alongside hand acceleration data, were recorded using wearable sensors. Reaction times to Go/No-Go stimuli were also collected as indicators of attentional load. The dataset consists of event-based features extracted from these signals, providing insights into the relationship between physiological arousal and task performance. For detailed methodology and analysis, please refer to our publication: "Studying Dual-Task Awareness in Industrial Settings Through Reaction Time and Physiological Signals". Kindly cite this paper when utilizing this dataset in your research.
Ethical approval number: RK-3/4/2025