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Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study.
Int J Psychophysiol. 2010 May; 76(2):80-7.IJ

Abstract

Seven professional airplane pilots participated in a one-session test in a Boeing 737-800 simulator. Mental workload for 18 flight tasks was rated by experienced test pilots (hereinafter called "expert ratings") and by study participants' self-report on NASA's Task Load Index (TLX) scale. Pilot performance was rated by a check pilot. The standard deviation of R-R intervals (SDNN) significantly added 3.7% improvement over the TLX in distinguishing high from moderate-load tasks and 2.3% improvement in distinguishing high from combined moderate and low-load tasks. Minimum RRI in the task significantly discriminated high- from medium- and low-load tasks, but did not add significant predictive variance to the TLX. The low-frequency/high-frequency (LF:HF) RRI ratio based on spectral analysis of R-R intervals, and ventricular relaxation time were each negatively related to pilot performance ratings independently of TLX values, while minimum and average RRI were positively related, showing added contribution of these cardiac measures for predicting performance. Cardiac results were not affected by controlling either for respiration rate or motor activity assessed by accelerometry. The results suggest that cardiac assessment can be a useful addition to self-report measures for determining flight task mental workload and risk for performance decrements. Replication on a larger sample is needed to confirm and extend the results.

Authors+Show Affiliations

UMDNJ - Robert Word Johnson, Medical School, Piscataway, NJ, United States. lehrer@UMDNJ.EDUNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20172000

Citation

Lehrer, Paul, et al. "Cardiac Data Increase Association Between Self-report and Both Expert Ratings of Task Load and Task Performance in Flight Simulator Tasks: an Exploratory Study." International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology, vol. 76, no. 2, 2010, pp. 80-7.
Lehrer P, Karavidas M, Lu SE, et al. Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study. Int J Psychophysiol. 2010;76(2):80-7.
Lehrer, P., Karavidas, M., Lu, S. E., Vaschillo, E., Vaschillo, B., & Cheng, A. (2010). Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study. International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology, 76(2), 80-7. https://doi.org/10.1016/j.ijpsycho.2010.02.006
Lehrer P, et al. Cardiac Data Increase Association Between Self-report and Both Expert Ratings of Task Load and Task Performance in Flight Simulator Tasks: an Exploratory Study. Int J Psychophysiol. 2010;76(2):80-7. PubMed PMID: 20172000.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study. AU - Lehrer,Paul, AU - Karavidas,Maria, AU - Lu,Shou-En, AU - Vaschillo,Evgeny, AU - Vaschillo,Bronya, AU - Cheng,Andrew, Y1 - 2010/02/19/ PY - 2009/02/13/received PY - 2010/02/13/revised PY - 2010/02/15/accepted PY - 2010/2/23/entrez PY - 2010/2/23/pubmed PY - 2010/7/22/medline SP - 80 EP - 7 JF - International journal of psychophysiology : official journal of the International Organization of Psychophysiology JO - Int J Psychophysiol VL - 76 IS - 2 N2 - Seven professional airplane pilots participated in a one-session test in a Boeing 737-800 simulator. Mental workload for 18 flight tasks was rated by experienced test pilots (hereinafter called "expert ratings") and by study participants' self-report on NASA's Task Load Index (TLX) scale. Pilot performance was rated by a check pilot. The standard deviation of R-R intervals (SDNN) significantly added 3.7% improvement over the TLX in distinguishing high from moderate-load tasks and 2.3% improvement in distinguishing high from combined moderate and low-load tasks. Minimum RRI in the task significantly discriminated high- from medium- and low-load tasks, but did not add significant predictive variance to the TLX. The low-frequency/high-frequency (LF:HF) RRI ratio based on spectral analysis of R-R intervals, and ventricular relaxation time were each negatively related to pilot performance ratings independently of TLX values, while minimum and average RRI were positively related, showing added contribution of these cardiac measures for predicting performance. Cardiac results were not affected by controlling either for respiration rate or motor activity assessed by accelerometry. The results suggest that cardiac assessment can be a useful addition to self-report measures for determining flight task mental workload and risk for performance decrements. Replication on a larger sample is needed to confirm and extend the results. SN - 1872-7697 UR - https://www.unboundmedicine.com/medline/citation/20172000/Cardiac_data_increase_association_between_self_report_and_both_expert_ratings_of_task_load_and_task_performance_in_flight_simulator_tasks:_An_exploratory_study_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0167-8760(10)00038-3 DB - PRIME DP - Unbound Medicine ER -