Study: Mental Workload Drives Physiological Responses, Deep Care's 'Isa Monitors Stress
A study has revealed that mental workload (MWL) significantly impacts physiological responses, with heart rate (HR), respiration rate, and blink rate all increasing with task difficulty. Deep Care, the company behind the 'Isa – resilience coach', uses these metrics to detect and manage mental stress in the workplace.
MWL is a crucial factor in various fields, including HCI usability design, automotive design, and human factors research. It can be defined as task switching or attention allocation from a psychological perspective, and as system demands from a system design viewpoint. Researchers have studied MWL in diverse domains such as simulated flight tasks and air traffic control.
Physiological measures like ECG, blink rate, and EEG reflect MWL. For instance, EEG frequencies change with task demands, with theta activity increasing and alpha power decreasing during high demand tasks. Our platform offers R Notebooks for processing raw signals from these devices and popular EEG powerbands. It also provides features for collecting and processing data directly in the platform and exporting results for further analysis.
Deep Care's 'Isa – resilience coach' uses AI-supported analysis to create precise stress profiles and recommends personalized interventions like breathing exercises, breaks, and referrals to specialists. The platform anonymously aggregates data for team and organizational insights, helping to manage mental workload effectively in the workplace.
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