Understanding the human performance envelope using electrophysiological measures from wearable technology

Nixon, Jim; Charles, Rebecca

doi:10.1007/s10111-017-0431-5

Cited by 17 publications

(20 citation statements)

References 30 publications

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“…For example, data collection can be unobtrusive and would not interfere with primary tasks. The measures can be standardized and compared across different studies, and the measures are objective evaluations, requiring a relatively small sample and providing more accurate reports of MWL [1,7,12,13]. Physiological measures are a natural type of MWL index since the increase in MWL requires more cognitive resources in order to maintain performance.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Physiological Measures of Mental Workload

Tao

Tan

Wang

et al. 2019

IJERPH

148

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Mental workload (MWL) can affect human performance and is considered critical in the design and evaluation of complex human-machine systems. While numerous physiological measures are used to assess MWL, there appears no consensus on their validity as effective agents of MWL. This study was conducted to provide a comprehensive understanding of the use of physiological measures of MWL and to synthesize empirical evidence on the validity of the measures to discriminate changes in MWL. A systematical literature search was conducted with four electronic databases for empirical studies measuring MWL with physiological measures. Ninety-one studies were included for analysis. We identified 78 physiological measures, which were distributed in cardiovascular, eye movement, electroencephalogram (EEG), respiration, electromyogram (EMG) and skin categories. Cardiovascular, eye movement and EEG measures were the most widely used across varied research domains, with 76%, 66%, and 71% of times reported a significant association with MWL, respectively. While most physiological measures were found to be able to discriminate changes in MWL, they were not universally valid in all task scenarios. The use of physiological measures and their validity for MWL assessment also varied across different research domains. Our study offers insights into the understanding and selection of appropriate physiological measures for MWL assessment in varied human-machine systems.

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Section: Introductionmentioning

confidence: 99%

A Systematic Review of Physiological Measures of Mental Workload

Tao

Tan

Wang

et al. 2019

IJERPH

148

View full text Add to dashboard Cite

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“…The task interface presents four subtasks that target different cognitive functions of the user (e,g., sustained attention, executive functioning, auditory processing) (Santiago-Espada et al, 2011 ). The subtask interfaces were designed to present an aviation-familiar setting purposed with inducing stress within pilots and crew members within aviation sectors (Kennedy and Parker, 2017 ; Nixon and Charles, 2017 ). However, its applicability for other complex working domains has been supported, as the frequent, uncontrollable and unpredictable stressors imposed throughout tasks elicit similar responses across various domains (Kennedy and Parker, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

Effects of Dynamic Resilience on the Reactivity of Vagally Mediated Heart Rate Variability

2021

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Dynamic resilience is a novel concept that aims to quantify how individuals are coping while operating in dynamic and complex task environments. A recently developed dynamic resilience measure, derived through autoregressive modeling, offers an avenue toward dynamic resilience classification that may yield valuable information about working personnel for industries such as defense and elite sport. However, this measure classifies dynamic resilience based upon in-task performance rather than self-regulating cognitive structures; thereby, lacking any supported self-regulating cognitive links to the dynamic resilience framework. Vagally mediated heart rate variability (vmHRV) parameters are potential physiological measures that may offer an opportunity to link self-regulating cognitive structures to dynamic resilience given their supported connection to the self-regulation of stress. This study examines if dynamic resilience classifications reveal significant differences in vagal reactivity between higher, moderate and lower dynamic resilience groups, as participants engage in a dynamic, decision-making task. An amended Three Rs paradigm was implemented that examined vagal reactivity across six concurrent vmHRV reactivity segments consisting of lower and higher task load. Overall, the results supported significant differences between higher and moderate dynamic resilience groups' vagal reactivity but rejected significant differences between the lower dynamic resilience group. Additionally, differences in vagal reactivity across vmHRV reactivity segments within an amended Three Rs paradigm were partially supported. Together, these findings offer support toward linking dynamic resilience to temporal self-regulating cognitive structures that play a role in mediating physiological adaptations during task engagement.

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“…Apart from impacting fatigue perception, the environment discrepancy caused by the altitude difference may also affect workload perception. Besides, for the high correlation between task load and mental workload [34], hypotheses regarding mental workload are:…”

Section: Hypothesesmentioning

confidence: 99%

Integrating Ergonomics Into Safety Management: A Conceptual Risk Assessment Model for Tower Controllers at Multiple Altitudes

et al. 2021

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Plateau and high plateau airports aggravate tower controllers' vulnerability, facing high safety risks, yet the risk evaluation paradigm to manage safety at multiple altitudes still lacks. The study aimed to investigate the effects of altitudes on controllers' mental workload and fatigue to assess the safety risk and introduced voices, mental workload, and fatigue, into a conceptual risk assessment model. Controllers from the Civil Aviation Administration of China (CAAC) conducted the experimental tasks, reporting mental workload and perception fatigue across three altitudes: 0 m, 2243 m, and 3569.7 m. With experimental data: this research (1) quantitatively compared the voice feature differences with feature engineering, and an image quality measure, (2) explored the effects of altitude, sleep, and fatigue, (3) tested the effects of altitude and task complexity on mental workload, and (4) evaluated the airport safety risks under ergonomic factors. Notably, the study revealed that Log-Mel spectrograms outperformed Mel Frequency Cepstral Coefficients (MFCC) in severe fatigue detection. Altitude and task complexity had significant main effects on the mental workload, but altitude had no significant moderator effects on the relationship between sleep and fatigue. The simulation results show that under the low task complexity, the operation risk is low over three airport elevations (with the human error rate < 10 −3 ), whereas under the high task complexity, the operation risk increased with altitudes (from 1.73× 10 −3 to 1.02 × 10 −1 ). Together, these results suggest that ergonomic factors influenced airport safety risk at multiple altitudes and promising real-time fatigue detection with voice features at different altitudes.

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Understanding the human performance envelope using electrophysiological measures from wearable technology

Cited by 17 publications

References 30 publications

A Systematic Review of Physiological Measures of Mental Workload

A Systematic Review of Physiological Measures of Mental Workload

Effects of Dynamic Resilience on the Reactivity of Vagally Mediated Heart Rate Variability

Integrating Ergonomics Into Safety Management: A Conceptual Risk Assessment Model for Tower Controllers at Multiple Altitudes

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