Editing Cognitive load (section)

==Application in driving and piloting==
With increase in secondary tasks inside cockpit, cognitive load estimation became an important problem for both automotive drivers and pilots.  The research problem is investigated in various names like drowsiness detection, distraction detection and so on. For automotive drivers, researchers explored various physiological parameters<ref>{{cite journal |last1=Healey |first1=J.A. |last2=Picard |first2=R.W. |s2cid=1409560 |title=Detecting stress during real-world driving tasks using physiological sensors |journal=IEEE Transactions on Intelligent Transportation Systems |date=June 2005 |volume=6 |issue=2 |pages=156–166 |doi=10.1109/TITS.2005.848368 |citeseerx=10.1.1.73.4200 }}</ref> like heart rate, facial expression,<ref>{{cite conference |first1=Tevfik Metin |last1=Sezgin |first2=Ian |last2=Davies |first3=Peter |last3=Robinson |year=2009 |title=Multimodal inference for driver-vehicle interaction |conference=Proceedings of the 2009 international conference on Multimodal interfaces (ICMI-MLMI '09) |publisher=Association for Computing Machinery |location=New York, NY, USA |pages=193–198 |doi=10.1145/1647314.1647348 |citeseerx=10.1.1.219.4733 }}</ref> ocular parameters<ref>{{cite journal |last1=Prabhakar |first1=Gowdham |last2=Mukhopadhyay |first2=Abhishek |last3=Murthy |first3=Lrd |last4=Modiksha |first4=Madan |last5=Sachin |first5=Deshmukh |last6=Biswas |first6=Pradipta |title=Cognitive load estimation using ocular parameters in automotive |journal=Transportation Engineering |date=1 December 2020 |volume=2 |pages=100008 |doi=10.1016/j.treng.2020.100008 |doi-access=free }}</ref> and so on. In aviation there are numerous simulation studies on analysing pilots' distraction and attention using various physiological parameters.<ref>{{cite book |last1=Kramer |first1=Arthur F. |chapter=Physiological metrics of mental workload: A review of recent progress |doi=10.1201/9781003069447-14 |editor1-last=Damos |editor1-first=D. |title=Multiple Task Performance |date=2020 |pages=279–328 |publisher=CRC Press |isbn=978-1-003-06944-7 |s2cid=241713101 }}</ref> For military fast jet pilots, researchers explored air to ground dive attacks and recorded cardiac, EEG<ref>{{cite journal |last1=Wilson |first1=GF |last2=Fullenkamp |first2=P |last3=Davis |first3=I |title=Evoked potential, cardiac, blink, and respiration measures of pilot workload in air-to-ground missions |journal=Aviation, Space, and Environmental Medicine |date=February 1994 |volume=65 |issue=2 |pages=100–5 |pmid=8161318 }}</ref> and ocular parameters.<ref>{{cite journal |last1=Babu |first1=Mohan Dilli |last2=JeevithaShree |first2=D. V. |last3=Prabhakar |first3=Gowdham |last4=Saluja |first4=Kamal Preet Singh |last5=Pashilkar |first5=Abhay |last6=Biswas |first6=Pradipta |title=Estimating pilots' cognitive load from ocular parameters through simulation and in-flight studies |journal=Journal of Eye Movement Research |date=30 July 2019 |volume=12 |issue=3 |pmid=33828735| doi=10.16910/jemr.12.3.3 |pmc=7880144 |doi-access=free }}</ref>