Literature DB >> 25226928

Improving pilot mental workload evaluation with combined measures.

Xiaoru Wanyan1, Damin Zhuang1, Huan Zhang1.   

Abstract

Behavioral performance, subjective assessment based on NASA Task Load Index (NASA-TLX), as well as physiological measures indexed by electrocardiograph (ECG), event-related potential (ERP), and eye tracking data were used to assess the mental workload (MW) related to flight tasks. Flight simulation tasks were carried out by 12 healthy participants under different MW conditions. The MW conditions were manipulated by setting the quantity of flight indicators presented on the head-up display (HUD) in the cruise phase. In this experiment, the behavioral performance and NASA-TLX could reflect the changes of MW ideally. For physiological measures, the indices of heart rate variability (HRV), P3a, pupil diameter and eyelid opening were verified to be sensitive to MW changes. Our findings can be applied to the comprehensive evaluation of MW during flight tasks and the further quantitative classification.

Entities:  

Keywords:  Mental workload; comprehensive evaluation; ergonomics; flight simulation; physiological measures

Mesh:

Year:  2014        PMID: 25226928     DOI: 10.3233/BME-141041

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  6 in total

1.  Systematic review of measurement tools to assess surgeons' intraoperative cognitive workload.

Authors:  R D Dias; M C Ngo-Howard; M T Boskovski; M A Zenati; S J Yule
Journal:  Br J Surg       Date:  2018-02-21       Impact factor: 6.939

2.  Pilot Behavior Recognition Based on Multi-Modality Fusion Technology Using Physiological Characteristics.

Authors:  Yuhan Li; Ke Li; Shaofan Wang; Xiaodan Chen; Dongsheng Wen
Journal:  Biosensors (Basel)       Date:  2022-06-12

3.  Evaluating mental workload during multitasking in simulated flight.

Authors:  Wenbin Li; Rong Li; Xiaoping Xie; Yaoming Chang
Journal:  Brain Behav       Date:  2022-03-15       Impact factor: 3.405

4.  Assessment of mental workload based on multi-physiological signals.

Authors:  Xiaoli Fan; Chaoyi Zhao; Xin Zhang; Hong Luo; Wei Zhang
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

5.  A Systematic Review of Physiological Measures of Mental Workload.

Authors:  Da Tao; Haibo Tan; Hailiang Wang; Xu Zhang; Xingda Qu; Tingru Zhang
Journal:  Int J Environ Res Public Health       Date:  2019-07-30       Impact factor: 3.390

6.  A comprehensive prediction and evaluation method of pilot workload.

Authors:  Chuanyan Feng; Xiaoru Wanyan; Kun Yang; Damin Zhuang; Xu Wu
Journal:  Technol Health Care       Date:  2018       Impact factor: 1.285

  6 in total

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