Perception Coherence Zones in Flight Simulation

Pais, A.R. Valente; Paassen, M.M. van; Mulder, Max; Wentink, M.

doi:10.2514/6.2009-6242

Cited by 13 publications

(24 citation statements)

References 17 publications

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“…Valente Pais et al 3 extended the work of Van der Steen for higher amplitudes. Also the question asked was changed.…”

Section: Iib2 Valente Pais Et Almentioning

confidence: 89%

“…The method used in this experiment was a staircase method based on the one used in the study of Valente Pais et al 3 . The following sections describe the setup in detail and focus on the differences with respect to the method of Valente Pais et al .…”

Section: Iiib Methodsmentioning

confidence: 99%

“…Valente Pais et al 3 extended the work of Van der Steen to higher amplitudes of the visual stimulus. They found that for high visual amplitudes the coherence zone drops below the one-to-one line.…”

mentioning

confidence: 97%

“…The algorithm used to determine the phase error of each run was based on the subjects' answers. It was an an up-down staircase algorithm similar to the one used in Valente Pais et al 3 . The initial phase difference was randomized between 0 and 5 deg.…”

Section: Iiib4 Proceduresmentioning

confidence: 99%

“…Hosman and Van der Vaart 7 suggested a simple second-order lead-lag model for the dynamics of the otholith organ, H OT O , which is expressed by Equation (3). It relates the neuronal discharge rates caused by the otolith organ, n dis,OT O , to the linear acceleration input,Ẍ BI .…”

mentioning

confidence: 99%

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Phase Coherence Zones in Flight Simulation

Jonik

Mulder

2011

AIAA Modeling and Simulation Technologies Conference

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In flight simulation detailed knowledge of human motion perception is crucial. Phase differences between inertial and visual motion introduced by motion filters might have negative effects on the fidelity of flight simulation. This study investigated human visualvestibular phase-error detection. An experiment was conducted to measure the maximum amount of phase lead of the inertial motion with respect to the visual motion that remains undetected by the human. It contributes to the assessment of so-called coherence zones investigated in previous studies. Possible effects of the stimulus frequency, amplitude and the axis of rotation were examined. They were found to have no significant influence on phase-error detection. The average phase-error threshold was determined at 22 degrees. In accordance to previous studies the results showed that humans can be considered more like phase-error detectors rather than time delay detectors.

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“…Valente Pais et al 3 extended the work of Van der Steen for higher amplitudes. Also the question asked was changed.…”

Section: Iib2 Valente Pais Et Almentioning

confidence: 89%

Section: Iiib Methodsmentioning

confidence: 99%

mentioning

confidence: 97%

Section: Iiib4 Proceduresmentioning

confidence: 99%

mentioning

confidence: 99%

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Phase Coherence Zones in Flight Simulation

Jonik

Mulder

2011

AIAA Modeling and Simulation Technologies Conference

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A review of human sensory dynamics for application to models of driver steering and speed control

2016

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In comparison with the high level of knowledge about vehicle dynamics which exists nowadays, the role of the driver in the driver–vehicle system is still relatively poorly understood. A large variety of driver models exist for various applications; however, few of them take account of the driver’s sensory dynamics, and those that do are limited in their scope and accuracy. A review of the literature has been carried out to consolidate information from previous studies which may be useful when incorporating human sensory systems into the design of a driver model. This includes information on sensory dynamics, delays, thresholds and integration of multiple sensory stimuli. This review should provide a basis for further study into sensory perception during driving.

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Understanding Cue Utility in Controlled Evasive Driving Manoeuvres: Optimizing Vestibular Cues for Simulator & Human Abilities

Sadraei

Romano

Advani³

et al. 2016

IFAC-PapersOnLine

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Most daily driving tasks are of low bandwidth and therefore the relatively slow visual system receives enough cue information to perform the task in a manner that is statistically indistinguishable from reality. On the other hand, evasive maneuvers are of such a high bandwidth that waiting for the visual cues to change is too slow and skilled drivers use steering torques and vestibular motion cues to know how the car is responding in order to make rapid corrective actions. In this study we show for evasive maneuvers on snow and ice, for which we have real world data from skilled test drivers, that the choice of motion cuing algorithm (MCA) settings has a tremendous impact on the saliency of motion cues and their similarity with reality. We demonstrate this by introducing a novel optimization scheme to optimize the classic MCA in the context of an MCA-Simulator-Driver triplet of constraints. We incorporate the following four elements to tune the MCA for a particular maneuver: 1) acceleration profiles of the maneuver observed in reality, 2) vestibular motion perception model, 3) motion envelope constraints of the simulator, and 4) a set of heuristics extracted from the literature about human motion perception (i.e. coherence zones). Including these elements in the tuning process, notwithstanding the easiness of the tuning process, respects motion platform constraints and considers human perception. Moreover the inevitable phase and gain errors arising as a major consequence of MCA are always kept within the human coherence zones, and subsequently are not perceptible as false cues. It is expected that this approach to MCA tuning will increase the transfer of training from simulator to reality for evasive driving maneuvers where students need training most and are most dangerous to perform in reality.

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Perception Coherence Zones in Flight Simulation

Cited by 13 publications

References 17 publications

Phase Coherence Zones in Flight Simulation

Phase Coherence Zones in Flight Simulation

A review of human sensory dynamics for application to models of driver steering and speed control

Understanding Cue Utility in Controlled Evasive Driving Manoeuvres: Optimizing Vestibular Cues for Simulator & Human Abilities

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