Model Based Analysis of Subjective Mental Workload During Multiple Remote Tower Human-In-The-Loop Simulations

Fürstenau, Norbert; Papenfuß, Anne

doi:10.1007/978-3-030-93650-1_13

Cited by 4 publications

(14 citation statements)

References 23 publications

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“…On the one hand the classical Hill function is an approximation to be used for simplifying data analysis, providing a kind of average across the four contributions to the saturation curve model equ. (10) experimental data as reported in [2]. In the latter experiment MWL-bias  = 2 was assumed for optimized LRLbased parameter estimates under conditions of roughly doubled (secondary) task requirements for low traffic load.…”

Section: Discussionmentioning

confidence: 99%

“…Radio communication with pilots plays a dominating role in controller's TL (e.g. [27] [28] [29]; see also [2]). In experiment 1 ( [1], see section 3.1) it was monitored periodically, synchronously with ISA-reporting in 2 min time steps.…”

Section: Lrl-model Of Radio Calls Task Loadmentioning

confidence: 99%

“…Hill function parameter estimates derived from RTC-HITL simulation [2] The [2] an initial set of logistic parameter estimates {, } and {, Ru} for the ISA(n)-MWL and RC(n)-TL functions (4)( 5)respectively was obtained without ISA-bias, i.e.  := 0, I0 := Id = 1 as prior assumption, with upper ISA limit Iu := 5 and TL-origin RC(n=0) := 0.…”

Section: 3mentioning

confidence: 99%

“…In this article we derive a formal parametric equivalence between a cognitive power law of mental load quantified on a subjective behavioral level [1] [2] and the classical Hill function of hemoglobin oxygen (HbO2) saturation [3]. Evidence is provided through theoretical parameter predictions and model based data analysis of three previously published independent data sets [1] [2] [4].…”

Section: Introductionmentioning

confidence: 99%

“…Remote Tower Center (RTC) simulations in 2011[2] ([51]). It addressed the usability-quantification of the new RTC work environment for tower controllers through statistical standard methods ([52], ANOVA and linear correlation analysis).…”

mentioning

confidence: 99%

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Logistic resource limitation model for quasi real-time measured subjective cognitive load predicts Hill function of hemoglobin-oxygen saturation

Fürstenau

2024

Preprint

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Cognitive processing and memory resources invested in task execution determine mental workload (MWL) that is quantified through objective physiological measures such as heart rate and variability, EEG, and hemoglobin oxygen (HbO2) saturation, and subjective methods like periodic quasi-real-time instantaneous self-assessment (ISA) with discrete five- or seven-level WL-scales. Previously published results of human-in-the-loop (HITL) air-traffic control simulations with highly trained domain experts provided initial evidence for logistic and power law functional dependencies between subjective MWL self-assessment reports and simultaneously monitored task load and simulation variables (e.g. communication and traffic load). Here we show that a biased Logistic Resource Limitation (LRL) model for regression based parameter estimates of subjective self-reports through combination with a logistic task load function leads to a cognitive power law with parametric correspondence to the classical Hill function that quantifies HbO2 saturation. Hill function saturation exponent and equilibrium dissociation constant turned out to show surprising agreement with corresponding estimates of the power law parameters derived from the LRL-model applied to published independent data sets from the three different HITL-simulation experiments. Our results suggest the hypothesis that under certain conditions quasi real-time subjective (behavioral) reporting of cognitive load due to task execution might represent the output of an interoceptive HbO2 saturation sensor that measures resource limitation of neural energy supply. From the HbO2 - saturation perspective, our results might provide an additional aspect to the selfish brain theory for cortical energy supply as derived by A. Peters et al. based on a logistic Glucose push-pull supply chain model. However, more focused experiments are required including direct (e.g. fNIR based) measurements of HbO2-saturation to further support (or falsify) our conclusions.

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Section: Discussionmentioning

confidence: 99%