Automatic Classification of Subjective Time Perception Using Multi-modal Physiological Data of Air Traffic Controllers

arXiv:2404.15213v1 Announce Type: cross
Abstract: One indicator of well-being can be the person's subjective time perception. In our project ChronoPilot, we aim to develop a device that modulates human subjective time perception. In this study, we present a method to automatically assess the subjective time perception of air traffic controllers, a group often faced with demanding conditions, using their physiological data and eleven state-of-the-art machine learning classifiers. The physiological data consist of photoplethysmogram, electrodermal activity, and temperature data. We find …

abstract aim air traffic arxiv classification cs.hc cs.lg data human modal multi-modal perception person project study traffic type