Recognising and explaining mental workload using low-interference method by fusing speech, ECG and eye tracking signals during simulated flight
3.00T1 sourceErgonomics (Taylor & Francis)
Source record
Published by Ergonomics (Taylor & Francis) (T1 source). The original is at https://www.tandfonline.com/doi/full/10.1080/00140139.2025.2511877?af=R.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPeer-reviewed paper in Ergonomics proposing a low-interference method to recognise and explain mental workload during simulated flight by fusing speech, ECG, and eye-tracking signals.
Why it mattersMultimodal workload detection with low-interference sensing has transferable logic for desk-based cognitive load monitoring, even though the source domain is aviation.
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