Human Mental Workload by Peter A. Hancock and Najmedin Meshkati (Eds.)

By Peter A. Hancock and Najmedin Meshkati (Eds.)

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The aircraft has an unstable spiral roll mode needing frequent attention"). One sucessful example of applying this is described in [ 3 3 ] , wherein a CCIT in the roll axes of a STOL-aircraft clearly showed the waxing and waning workload margin during STOL landing approaches. These are some very promising developments, needing only funding and experience to accomplish with minimal risk and high payoff. The major needs are a "catalog" of mechanizations for any lab to replicate, a set of procedures for training, administering and analysis of results; and a normative data base by which to judge new results and/or actual incipient overloads in the lab or in the sky.

Cognitive demands (via U T ~ see The quality of the ongoing control task loop closure must always suffer, albeit not very much if the closure is near optimum and the sampling remnant is small. Paradoxically, dynamic stability margins (gain and phasemargin) may increase with sampling (see Figure 14), although "error instability" may be incipient. g. [15], bear out this implication. Measuring Mental Workload 21 Figure 15 SKETCH ILLUSTRATING RANDOMNESS OF POOLED PARALLEL DEMANDS Avg. Periodicity: v Source A .

A cross-spectral analysis of heart-rate vs. healthy flow showed that nearly all of the HRV was due to the well-known sinus arrythmia effect [ 2 6 ] , which is easier to measure directly. These data show generally conflicting trends, levels, or lack of concordance, even when normalized in various ways. The resting values (no workload) often show more variability than the tracking values. Figure 16 PSYCHOPHYSIOLOGICAL MEASUREMENTS DURING REST PERIODS AND TRACKING RUNS 90 c These PP Data are: ETubiquitoua, 5 coherent ( w / worhlood) NOT ortlfocf free, NOT modrl-atruclured :.

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