Unravelling the Physiological Correlates of Mental Workload
DOI: 10.1109/TNSRE.2022.3157446
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Abstract
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TNSRE.2022.3157446, IEEE Transactions on Neural Systems and Rehabilitation Engineering JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. XX, 2021 1 Unravelling the Physiological Correlates of Mental Workload Variations in Tracking and Collision Prediction Tasks Alka Rachel John, Avinash K Singh, Tien-Thong Ngu
Summary
HFES conference proceedings report (Aspire Conference) documenting N-back temporal instability findings. Two-experiment study showing N-back performance improvement and workload decrease over 26+ on-road driving sessions. Experiment 1: 10 participants with 26+ exposures show systematic accuracy increases and cognitive demand decreases. Experiment 2: Old vs New digit sequences tested with 20 participants; equivalent performance confirms strategy-based improvement.
Key finding
N-back accuracy and DRT-based workload measures show systematic drift over repeated on-road sessions, with improvements attributable to general strategy acquisition (subvocal rehearsal, automatization) rather than sequence-specific learning.
Methodology
Exp 1: 10 participants, repeated measures across 6 sessions from 26 total. Exp 2: 20 participants, Old/New sequence comparison. On-road driving paradigm with DRT and NASA-TLX measures.
Sample size: Exp 1: N=10; Exp 2: N=20
Quality score: 5 / 5