Recording of Psychophysiological Data During Aerobatic Training
(2011) In International Journal of Aviation Psychology 21(2). p.105-122- Abstract
- Measuring pilot mental workload can be important for understanding cognitive demands during flight involving unusual movements and attitudes. Data on heart rate, eye movements, EEG, and subjective ratings from 7 flight instructors were collected for a flight including a repeated aerobatics sequence. Heart rate data and subjective ratings showed that aerobatic sequences produced the highest levels of mental workload and that heart rate can identify low-G flight segments with high mental workload. Blink rate and eye movement data did not support previous research regarding their relation to mental workload. EEG data were difficult to analyze due to muscle artifacts.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1918478
- author
- Dahlström, Nicklas LU ; Nahlinder, Staffan ; Wilson, Glenn F. and Svensson, Erland
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- in
- International Journal of Aviation Psychology
- volume
- 21
- issue
- 2
- pages
- 105 - 122
- publisher
- Taylor & Francis
- external identifiers
-
- wos:000289250800001
- scopus:79953741493
- ISSN
- 1050-8414
- DOI
- 10.1080/10508414.2011.556443
- language
- English
- LU publication?
- yes
- id
- df8f4169-9147-4c48-9c13-3acf5989dea4 (old id 1918478)
- date added to LUP
- 2016-04-01 14:30:19
- date last changed
- 2022-02-19 19:18:39
@article{df8f4169-9147-4c48-9c13-3acf5989dea4, abstract = {{Measuring pilot mental workload can be important for understanding cognitive demands during flight involving unusual movements and attitudes. Data on heart rate, eye movements, EEG, and subjective ratings from 7 flight instructors were collected for a flight including a repeated aerobatics sequence. Heart rate data and subjective ratings showed that aerobatic sequences produced the highest levels of mental workload and that heart rate can identify low-G flight segments with high mental workload. Blink rate and eye movement data did not support previous research regarding their relation to mental workload. EEG data were difficult to analyze due to muscle artifacts.}}, author = {{Dahlström, Nicklas and Nahlinder, Staffan and Wilson, Glenn F. and Svensson, Erland}}, issn = {{1050-8414}}, language = {{eng}}, number = {{2}}, pages = {{105--122}}, publisher = {{Taylor & Francis}}, series = {{International Journal of Aviation Psychology}}, title = {{Recording of Psychophysiological Data During Aerobatic Training}}, url = {{http://dx.doi.org/10.1080/10508414.2011.556443}}, doi = {{10.1080/10508414.2011.556443}}, volume = {{21}}, year = {{2011}}, }