Optimal and Coherence Zone Comparison Within and Between Flight Simulators

Grácio, B.J. Correia; Pais, A.R. Valente; Paassen, M. M. van; Mulder, Max

doi:10.2514/1.c031870

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…Consequently, the observed segregation of congruent stimuli in that study may also have been caused by perceptions of intersensory discrepancy in motion amplitude, which would imply that CI is also performed on the basis of discrepancies in other stimulus dimensions. This notion is consistent with findings from literature on vehicle simulation, which report on specific deterministic tolerances for discrepancies between the amplitude of visual and inertial motions (e.g., [58–60]).…”

Section: Discussionsupporting

confidence: 92%

Causal Inference in Multisensory Heading Estimation

2017

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A large body of research shows that the Central Nervous System (CNS) integrates multisensory information. However, this strategy should only apply to multisensory signals that have a common cause; independent signals should be segregated. Causal Inference (CI) models account for this notion. Surprisingly, previous findings suggested that visual and inertial cues on heading of self-motion are integrated regardless of discrepancy. We hypothesized that CI does occur, but that characteristics of the motion profiles affect multisensory processing. Participants estimated heading of visual-inertial motion stimuli with several different motion profiles and a range of intersensory discrepancies. The results support the hypothesis that judgments of signal causality are included in the heading estimation process. Moreover, the data suggest a decreasing tolerance for discrepancies and an increasing reliance on visual cues for longer duration motions.

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Section: Discussionsupporting

confidence: 92%

Causal Inference in Multisensory Heading Estimation

2017

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“…Correia Grácio et al. ( 2013 ) defined the ‘optimal zone’ as the area between these ‘upper’ and ‘lower’ optima and found that it lay within the coherence zone. Similar to the PMC, GMC and CZW for coherence zones, the optimal zone was defined in terms of the ‘point of mean optimal gain’ (PMO), ‘gain of mean optimal’ (GMO) and ‘optimal zone width’ (OZW).…”

Section: Perception Thresholdsmentioning

confidence: 99%

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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“…Beyond the limits of the coherence zone, humans perceive the simulated motion to be incorrect. Results of these studies have been applied in flight and driving simulator motion cueing tuning [57,58].…”

Section: A Coherence Zone Conceptmentioning

confidence: 99%

Mitigating Coriolis Effects in Centrifuge Simulators Through Allowing Small, Unperceived G-Vector Misalignments

Mkhoyan¹,

Wentink²,

Graaf³

et al. 2022

Preprint

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When coupled with additional degrees of freedom, centrifuge-based motion platforms can combine the agility of hexapod-based platforms with the ability to sustain higher G-levels and an extended motion space, required for simulating extreme maneuvers. However, the false and often nauseating sensations of rotation, by Coriolis effects induced by the centrifuge rotation in combination with rotations of the centrifuge cabin or the pilot's head, are a major disadvantage. This paper discusses the development of a motion filter, the Coherent Alignment Method (COHAM), which aims at reducing Coriolis effects by allowing small mismatches in the G-vector alignment, reducing cabin rotations. Simulations show that as long as these mismatches remain within a region where humans perceive the G-vector as 'coherent', the Coherent Alignment Zone (CAZ), the cabin angular accelerations can indeed be reduced. COHAM was tested in a high G-maneuver task with a fixed CAZ threshold obtained in a previous study. It was experimentally compared to an existing motion filter, using metrics such as sickness, comfort and false cues. Results show that sickness, dizziness and discomfort are reduced, making the centrifuge sessions more bearable. It is recommended to further improve the filter design and tuning, and test it with more fighter pilots.

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Optimal and Coherence Zone Comparison Within and Between Flight Simulators

Cited by 10 publications

References 17 publications

Causal Inference in Multisensory Heading Estimation

Causal Inference in Multisensory Heading Estimation

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

Mitigating Coriolis Effects in Centrifuge Simulators Through Allowing Small, Unperceived G-Vector Misalignments

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