Perception Coherence Zones in Flight Simulation

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

doi:10.2514/1.c000281

Cited by 22 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In motion cueing, motion is often perceived as too intense if cued one-to-one [20]. This is confirmed by some pilots who indeed reported that perceived motion for the configuration was too intense.…”

Section: Recommendationsmentioning

confidence: 77%

Perceptual Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

Tillema

Stroosma

Miletović

et al. 2021

AIAA Scitech 2021 Forum

Self Cite

View full text Add to dashboard Cite

Section: Recommendationsmentioning

confidence: 77%

Perceptual Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

Tillema

Stroosma

Miletović

et al. 2021

AIAA Scitech 2021 Forum

Self Cite

View full text Add to dashboard Cite

“…and σ 2 r , ω p , ω 0 as in (32), (33), and (34). By combining the two possible CC models, we obtain the expressions for the SS model (42) and…”

Section: Model Expressionsmentioning

confidence: 99%

“…The concept was derived from the observation that physically moving observers are unable to detect concurrent visual motion when the amplitude of the visual motion is below a particular threshold [39,40]. CZ have been determined for the amplitude and phase of rotational as well as translation motion [41,42,43,44,45], and also for heading [46,30]. CI models can be said to be formed around an analogous concept, namely the probability that visual and inertial motion with any discrepancy will be attributed to a common cause Pr(C | e V , e I ).…”

Section: Multisensory Distance Estimationmentioning

confidence: 99%

An assessment of Causal Inference in visual-inertial traveled distance estimation

Winkel

Diers

Lächele

et al. 2018

Preprint

View full text Add to dashboard Cite

Recent work indicates that the central nervous system assesses the causality of visual and inertial information in the estimation of qualitative characteristics of self-motion and spatial orientation, and forms multisensory perceptions in accordance with the outcome of these assessments.Here, we extend the assessment of this Causal Inference (CI) strategy to the quantitative domain of traveled distance. We present a formal model of how stimuli result in sensory estimates, how percepts are constructed from sensory estimates, and how responses result from percepts. Starting with this formalization, we derived probabilistic formulations of CI and competing models for perception of traveled distance. In an experiment, participants (n=9) were seated in the Max Planck Cablerobot Simulator, and shown a photo-realistic virtual rendering of the simulator hall via a Head-Mounted Display. Using this setup, the participants were presented with various unisensory and (incongruent) multisensory visual-inertial horizontal linear surge motions, differing only in amplitude (i.e., traveled distance). Participants performed both a Magnitude Estimation and a Two-Interval Forced Choice task. Overall, model comparisons favor the CI model, but individual analysis shows a Cue Capture strategy is preferred in most individual cases. Parameter estimates indicate that visual and inertial sensory estimates follow a Stevens' power law with positive exponent, and that noise increases with physical distance in accordance with a Weber's law. Responses were found to be biased towards the mean stimulus distance, consistent with an interaction between percepts and prior knowledge in the formulation of responses. Magnitude estimate data further showed a regression to the mean effect. The experimental data did not provide unambiguous support for the CI model. However, model derivations and fit results demonstrate it can reproduce empirical findings, arguing in favor of the CI model. Moreover, the methods outlined in the present study demonstrate how different sources of distortion in responses may be disentangled by combining psychophysical tasks.

show abstract

Perceptual scaling of visual and inertial cues

Grácio

Bos²,

Paassen

et al. 2013

Exp Brain Res

View full text Add to dashboard Cite

In the field of motion-based simulation, it was found that a visual amplitude equal to the inertial amplitude does not always provide the best perceived match between visual and inertial motion. This result is thought to be caused by the "quality" of the motion cues delivered by the simulator motion and visual systems. This paper studies how different visual characteristics, like field of view (FoV) and size and depth cues, influence the scaling between visual and inertial motion in a simulation environment. Subjects were exposed to simulator visuals with different fields of view and different visual scenes and were asked to vary the visual amplitude until it matched the perceived inertial amplitude. This was done for motion profiles in surge, sway, and yaw. Results showed that the subjective visual amplitude was significantly affected by the FoV, visual scene, and degree-of-freedom. When the FoV and visual scene were closer to what one expects in the real world, the scaling between the visual and inertial cues was closer to one. For yaw motion, the subjective visual amplitudes were approximately the same as the real inertial amplitudes, whereas for sway and especially surge, the subjective visual amplitudes were higher than the inertial amplitudes. This study demonstrated that visual characteristics affect the scaling between visual and inertial motion which leads to the hypothesis that this scaling may be a good metric to quantify the effect of different visual properties in motion-based simulation.

show abstract

Perception Coherence Zones in Flight Simulation

Cited by 22 publications

References 26 publications

Perceptual Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

Perceptual Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

An assessment of Causal Inference in visual-inertial traveled distance estimation

Perceptual scaling of visual and inertial cues

Contact Info

Product

Resources

About