Training Simulation for Helicopter Navigation by Characterizing Visual Scan Patterns

Sullivan, Joseph A.; Yang, Ji Hyun; Day, Michael; Kennedy, Quinn

doi:10.3357/asem.2947.2011

Cited by 42 publications

(55 citation statements)

References 15 publications

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“…This echoes Fitts' previous conclusion about experienced pilots and their shorter fixation durations [23]. In the helicopter domain, during a simulated overland navigation task, Sullivan et al [32] found an estimate of expertise cost (or rather benefit) on scan management skill. Their model predicted that, on average, for every additional thousand flight hours, the median dwell time will decrease by 28 ms, and the number of transitions between zones of interest (out-the-window and navigational map) will significantly increase.…”

Section: Stage I: Pilot Training/flight Performance Analysissupporting

confidence: 70%

The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety

Peysakhovich

Lefrancois

Dehais

et al. 2018

Safety

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Abstract:Commercial aviation is currently one of the safest modes of transportation; however, human error is still one major contributing cause of aeronautical accidents and incidents. One promising avenue to further enhance flight safety is Neuroergonomics, an approach at the intersection of neuroscience, cognitive engineering and human factors, which aims to create better human-system interaction. Eye-tracking technology allows users to "monitor the monitoring" by providing insights into both pilots' attentional distribution and underlying decisional processes. In this position paper, we identify and define a framework of four stages of step-by-step integration of eye-tracking systems in modern cockpits. Stage I concerns Pilot Training and Flight Performance Analysis on-ground; stage II proposes On-board Gaze Recordings as extra data for the "black box" recorders; stage III describes Gaze-Based Flight Deck Adaptation including warning and alerting systems, and, eventually, stage IV prophesies Gaze-Based Aircraft Adaptation including authority taking by the aircraft. We illustrate the potential of these four steps with a description of incidents or accidents that we could certainly have avoided thanks to eye-tracking. Estimated milestones for the integration of each stage are also proposed together with a list of some implementation limitations. We believe that the research institutions and industrial actors of the domain will all benefit from the integration of the framework of the eye-tracking systems into cockpits.

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Section: Stage I: Pilot Training/flight Performance Analysissupporting

confidence: 70%

The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety

Peysakhovich

Lefrancois

Dehais

et al. 2018

Safety

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“…More recently, Sullivan et al ( 7 ) found that during a simulated overland navigation task, increased fl ight experience was associated with a more effi cient scan pattern; dwell time decreased and scan rate increased with longer total flight hours. In a follow-up study with the same participants, it was found that the more experienced pilots changed their visual scan pattern depending on navigational diffi culty ( 7 ). For the easier routes, experts spent less time scanning out the window (OTW), yet had as many fi xations as less experienced pilots.…”

Section: Helicopter Pilot Scan Patterns -Kirby Et Almentioning

confidence: 99%

Helicopter Pilot Scan Techniques During Low-Altitude High-Speed Flight

Kirby¹,

Kennedy²,

Yang³

2014

aviat space environ med

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“…Similar to EEG, eye tracking has been used reliably to detect expertise differences in a variety of tasks, such as driving, flying an aircraft, and even chess (Borowsky et al, 2010;Charness et al, 2001;Kasarskis et al, 2001;Sullivan et al, 2011). The recurrent finding in this literature is that experts tend to have a more efficient and effective visual scan pattern than the less expert.…”

Section: Eyetracking and Expertisementioning

confidence: 82%

“…Electroencephalography (EEG) has been used successfully to describe neurophysiological activity during decision-making (Gluth et al, 2013b,a), as well as to untap neurophysiological differences between experts and novices in a variety of tasks (Sherwin & Gaston, 2013;Herzmann & Curran, 2011;Ott, 2013), and even the development of expertise . Additionally, numerous studies indicate that visual scan data via eye tracking technology can provide valuable insights into participants' cognitive strategies during real-world tasks; strategies that cannot be detected by behavioral performance alone (Kasarskis et al, 2001;Marshall, 2007;Sullivan et al, 2011;Yang et al, 2011;Van Orden et al, 2001;?;. Therefore, the combination of EEG and eye tracking technology provides a much finer-grained signature of the stages of development towards optimal decision-making than behavioral performance data.…”

Section: Neurophysiological Measuresmentioning

confidence: 99%

Understanding Optimal Decision-Making in Wargaming

Nesbitt¹,

Kennedy²,

Alt³

et al. 2013

Self Cite

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, This research aims to gain insight into optimal wargaming decision-making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its development with a within-person design; i.e., the transition from exploring the environment to exploiting the environment. We describe ongoing research that uses neurophysiological predictors in two military decision making tasks that tap reinforcement learning and cognitive flexibility.

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Training Simulation for Helicopter Navigation by Characterizing Visual Scan Patterns

Cited by 42 publications

References 15 publications

The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety

The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety

Helicopter Pilot Scan Techniques During Low-Altitude High-Speed Flight

Understanding Optimal Decision-Making in Wargaming

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