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American Institute of Aeronautics and Astronautics 1

Visual-inertial coherence zone in the perception of heading

Ksander N. de Winkel1

Utrecht University, Utrecht, The Netherlands Bruno J. Correia Gracio2

Delft Univeristy of Technology, Delft, The Netherlands Eric L. Groen3

TNO Defence, Safety & Security, Soesterberg, The Netherlands and

Peter Werkhoven4

Utrecht University, The Netherlands

Knowledge of human motion perception can be applied in the optimization of motion cueing algorithms. In the past it has been shown that some discrepancies between the amplitude or phase of a visual and inertial cue go unnoticed. These acceptable discrepancies are referred to as coherence zones. In the present experiment we investigate whether a coherence zone applies to the direction of visual and inertial motion cues. More specifically, we investigated how much heading of an inertial stimulus may deviate from a visual stimulus suggesting ‘straight ahead’ motion, before the ‘straight ahead’ percept falls apart. Subjects were presented with congruent visual-inertial linear horizontal motion stimuli with varying heading and incongruent visual-inertial linear horizontal motion stimuli, in which a visual cue suggesting straight ahead motion was coupled with an inertial heading cue with varying heading. Subjects judged I) whether or not they moved straight ahead, and II) whether or not the visual and inertial stimulus were congruent. We fitted psychometric curves to the combined judgments and calculated detection thresholds for a violation of either criterion. The results show that the 50% detection thresholds are larger in the incongruent than in the congruent condition. We interpret the threshold for the incongruent condition as the size of the coherence zone. In conclusion: we provide evidence of a coherence zone for heading, as wella as a measure of the size of the heading coherence zone.

Nomenclature

α = heading angle

C = coherence variable

µ = psychometric curve 50% detection threshold σ = psychometric curve slope

1

Ph.D. student, Faculty of Science, Dept. of Information & Computing sciences, ksander.dewinkel@tno.nl, P.O. Box 80.089, 3508TB Utrecht, The Netherlands.

2

Ph.D. student, Faculty of Aerospace Engineering, Control and Simulation Division, B.J.CorreiaGracio@tudelft.nl, P.O. Box 5058, 2600 GB Delft, The Netherlands. AIAA Student Member.

3

Senior scientist, Perception and Simulation, eric.groen@tno.nl, Kampweg 5, 3769 DE Soesterberg, The Netherlands, AIAA Member.

4

Professor, Utrecht University, Dept of Information & Computing sciences, Padualaan 14, 3584 CH, Utrecht, The Netherlands.

AIAA Modeling and Simulation Technologies Conference

2 - 5 August 2010, Toronto, Ontario Canada

AIAA 2010-7916

Copyright © 2010 by Utrecht University. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.

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I.

Introduction

ERCEPTION of self-motion is based on multisensory information as provided by the visual, vestibular and somatosensory (“seat-of-the-pants”) sensory systems. Although there is overlap, the sensory systems differ in their sensititivies for different aspects of motion, e.g. the type of motion (linear or angular) and motion frequency. To some extent, the different sensory systems supplement each other. For example, visual cues contribute to the perception of low-frequency motion, whereas vestibular cues contribute to high-frequency changes in self-motion involving accelerations1. For flight simulation purposes it suffices in many cases to merely reproduce the high-pass filtered aircraft motions, known as “onset cues”. The exception with this is the simulation of sustained (linear) accelerations, for example longitudinal acceleration during a takeoff run. With its limited stroke length, a common hexapod motion base cannot generate sustained linear accelerations. However, a sensation of forward acceleration can be induced by tilting the simulator cabin backwards, because of the perceptual ambiguity between gravity and any other linear acceleration. In normal situations when a person is tilted the brain resolves this ambiguity by taking into account visual information about self-orientation and –motion, as well as information from the vestibular system about rotations of the head2. However, when the out-the-window visual stimulus in a simulator provides a frame of reference which suggests no tilt, but rather horizontal motion, the brain interprets the platform tilt as forward linear acceleration. This procedure is known as “tilt coordination”. For tilt coordination to be effective, the pitch rate of the cabin should remain below the pitch perception threshold, or else the pilot will perceive the platform’s angular motion3. In this respect, a thorough understanding of the way pilots perceive self-motion can help to make optimal use of the simulator self-motion envelope.

In general, visual and inertial cues should lie within certain limits relative to each other for the cues to be interpreted as emanating from a single event. For yaw rotations it has already been shown that the amplitude of the inertial motion cue may differ to some degree from the visual cue without pilots noticing4,5. The range of motion amplitudes presented in one sensory modality that is perceived as congruent with a single motion amplitude in another sensory modality is sometimes referred to as the ‘coherence zone’4,5. In the present study we investigated whether a coherence zone also applies for the direction of motion cues. We studied this for the perceived heading of horizontal linear self-motion, based on information from the visual and inertial senses (i.e. vestibular and somatosensory information). Although a heading coherence zone should apply for all headings, we focus our discussion on the perception of ‘straight ahead’ (zero) heading for reasons of methodological simplicity. More specifically, we investigated for which combinations of a zero heading visual stimulus and inertial stimuli with varying heading, the ‘straight ahead’ percept falls apart. We defined the coherence zone for zero heading as the range of inertial heading stimuli that, when combined with a zero heading visual heading stimulus I) do not induce a perceived heading other than ‘straight ahead’, and II) for which the discrepancy between the visual and inertial cue is not noticed. A violation of the first requirement indicates that information from the inertial senses biased the visual heading estimate; a violation of the second requirement indicates that the simulation realism is impaired. To effectively induce a ‘straight ahead’ percept, both requirements should therefore be met. Based on subject’s heading and congruence judgments we determined the threshold values for the zero heading coherence zone.

II.

Methods

A. Subjects

Nine paid volunteers took part in this experiment (six men, three women, mean age 28.7, standard deviation 6.9). All subjects reported normal vestibular function and normal or corrected-to-normal vision. After receiving general instructions of the experimental goals and procedures, all subjects gave their informed consent by signing a document.

B. Apparatus

The experiment was performed in the advanced TNO motion simulator called DESDEMONA6. This centrifuge-based simulator features a motion platform with six freedom. For this study, only two degrees-of-freedom were used: rotation about the cabin’s vertical yaw axis, and linear motion along the 8m horizontal track. Subjects were seated on a padded seat inside the cabin, and secured by a five-point safety harness. Foam cushions were placed between a head-rest and the left and right side of the head to minimize head movements.

Inside the cabin, an out-the-window (OTW) visual stimulus was projected on a screen at about 1.5m in front of the subject. Subjects wore a mask which restricted their field-of-view to 40° (horizontal) × 32° (vertical) of the OTW display, blocking stationary visual cues from the cabin interior. The mask served as a substitute for a lacking cockpit canopy and made the OTW scenery appear in the background. The latter is important, since it is known that

P

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vection is induced more effectively when a visual motion stimulus is presented in the perceptual background7. Subjects also wore an audio-headset that allowed for constant contact with the experimenters. Responses were given verbally and were noted by the experimenters.

C. Stimuli

Stimuli consisted of combinations of visual and inertial linear horizontal motion stimuli with different headings. Heading is defined as the direction of motion with respect to the median plane of the body: A heading of 0° corresponds to linear forward motion along the subjects’ naso-occipital axis; a 90° heading corresponds to linear rightward motion along the inter-aural axis. We refer to a straight ahead heading as ‘zero heading’. We did not expect consistent differences in the thresholds for detection of non-zero heading for left or rightward stimuli8. Therefore, only rightward motion was presented, which reduced the number of trials.

1. Visual stimuli

Visual stimuli consisted of linear horizontal motion through a ‘star field’. The star field was of a cloud of solid white circles, placed in random positions on a three-dimensional grid in a dark surrounding environment. This stimulus was generated at random with each trial. The objects never appeared at the Focus-Of-Expansion (FOE), because heading estimation could then simply be accomplished by judging whether or not the center object moved. Displacement of the visual objects was coupled linearly with the inertial motion. Absolute velocity of the visual motion was arbitrary since subjects neither had objective information about the distance between objects, nor could they determine their size. Velocity of movement through the star field was determined in a pilot study; the stimulus amplitude was chosen such that it subjectively matched the velocity of the inertial motion. During debriefing, subjects never reported a feeling of discrepancy between the visual and inertial velocity. Different angles of visual heading were achieved by shifting the FOE sideways.

2. Inertial stimuli

Inertial stimuli consisted of motion along the linear horizontal track of the simulator over a total length of 7 meters. The velocity profile was a raised cosine bell with maximum velocity of 1.5m/s. Maximum acceleration was 0.5 m/s². Each motion profile lasted 9.3s. Since the vestibular system is responsive to acceleration and not to constant velocity, a constantly changing velocity profile was used to ensure vestibular reactivity.

Both the visual and inertial motion stimulus could have a range of different headings (0°, 3°, 5°, 7°, 10°, 15º). Stimuli were divided into two conditions: a ‘congruent’ condition, in which heading of the visual and inertial stimulus were always equal, and an ‘incongruent’ condition, in which inertial heading stimuli were paired with a zero-heading visual stimulus. Stimuli in the incongruent condition with a 0° inertial heading could were equal to the 0° congruent stimuli. Reponses to these stimuli were pooled. The purpose of the congruent condition was to make sure subjects could not know heading of the visual cue before stimulus onset. This enhances inter-stimulus independence. However, the congruent stimuli do not inform about the coherence zone. Therefore, we will not analyze data for the congruent condition in much detail. There were 10 repetitions of each stimulus, totaling 120 stimuli.

D. Task

Subjects were instructed to report after each stimulus both I) whether they experienced the stimulus as being ‘straight ahead’ (having a heading of 0°) or ‘not straight ahead’, and II) whether or not the visual and inertial stimuli were congruent (i.e. had the same heading). Subjects were instructed to use all available sensory information on self-motion.

E. Procedure

Each individual stimulus was presented in a separate simulator run of about 30s. At the beginning of each run the cabin was positioned at one end of the linear track. The run started with rotation of the cabin about its yaw axis to orient the subject at the desired stimulus heading relative to the linear track. The cabin always rotated the longest distance (i.e. about 180°) with an angular velocity between 12°/s to 13.33°/s, depending on the stimulus angle. The duration of this rotation was kept constant to guarantee that subjects could not use time to estimate their next heading angle. To allow the after-effects of the response of the semi-circular canals for this yaw-rotation to wash out, a 6s pause was implemented before the actual stimulus started. After this pause the cabin was moved over 7m to the other end of the linear track. Following stimulus presentation, subjects gave their verbal responses in a 1s pause before the next run started with the reorientation of the cabin.

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The runs were presented in two separate blocks. Both blocks consisted of 60 runs with both congruent and incongruent stimuli. Stimuli were presented in a random order. Subjects also experienced two other blocks of stimuli with either visual-only or inertial-only stimuli. These were used to answer another research question, which were used for another study. The order of blocks was randomized between participants. Each subject performed a total of 240 runs in four 30-minute blocks. Between each block they had a 15-minute break outside the simulator. Including instruction, the whole experiment lasted about four hours for each subject.

F. Theoretical model and Data Analysis

We assume that humans have an internal representation of their heading angle α. We expect that subjects will decide that their heading angle is not straight ahead when a certain internal threshold for the internal representation is exceeded. As a consequence, humans have an internal representation of the discrepancy between multisensory signals.When the discrepancy between the visual and inertial cue exceeds a threshold value, the cues will no longer be perceived as emanating from the same event, and subjects will judge cues incongruent. For the incongruent stimuli, the discrepancy between the visual and inertial heading cue should not exceed the respective detection threshold, because this will disrupt the simulation fidelity.

The coherence zone for visual-inertial heading stimuli is defined by those combinations of heading cues for which subjects notice neither a deviation from zero heading, nor a discrepancy between cues. We therefore combined heading and congruency judgments. When subjects reported a particular visual-inertial stimulus as both having zero heading and being congruent, the stimulus was scored as falling within the coherence zone. When either question was answered differently, the stimulus was scored as outside the coherence zone. This yields a binomially distributed variable C (i.e., a binary response C = 0 for response “congruent & zero-heading”, and C=1 otherwise).

We model the binomially distributed variable C using a probit-regression on the heading angle α. More specifically,

Φ

=

=

=

σ

α

µ

π

α

Pr(C

α

1

)

where Ф denotes the cumulative standard normal distribution, µ is the 50% coherence threshold and σ its slope. The parameter σ indicates how the probability that a stimulus falls outside the coherence zone varies with stimulus angle α. The model is a dichotomous analogue to the familiar ANCOVA for continuous responses, where we regress the binary dependent variable C on the independent variable ‘stimulus condition’, in the presence of the continuous independent variable ‘heading angle’. To test for individual differences, we compared this model to a model that estimates parameters µ and σ for each subject using a likelihood ratio test.

We estimated the parameters (µ, σ) of the psychometric curve by maximum-likelihood estimation, assuming that all observations of a subject are stochastically independent. We used Pearson’s Χ² test to assess whether the fitted psychometric curves indeed fit the data.

III.

Results

We gathered (I) heading judgments, and (II) congruency judgments for multisensory stimuli. For both judgments there were only two possible responses; (I) a stimulus could be either straight ahead or not, and (II) the visual and inertial stimuli could either be congruent or incongruent.

For the incongruent stimuli, congruency judgments are plotted as a function of heading angle in Figure 1, left panel). Psychometric curve parameters are the median values of µ and σ over all subjects. In the right panel of Figure 1, heading judgments are plotted as a function of stimulus angle. As a comparison, the psychometric function that describes heading judgments for congruent stimuli is also given. These judgments are represented by the dotted line. Again, the parameters are the median values of µ and σ over all subjects.A value of ‘1’ on the psychometric curve indicates that a particular judgment was given in 100% of the cases that the associated stimulus was presented; hence, the associated probability equals one.

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American Institute of Aeronautics and Astronautics 5

Heading and congruency judgments were combined to determine the size of the coherence zone for zero heading. The combined judgments are presented in Figure 2. Psychometric curves for the constituent judgments are also provided. We tested for individual differences using a likelihood ratio test for a model that estimated psychometric curve parameters for each individual subject and a model that estimated only one pair of parameters for the data combined over subjects. We observed considerable inter-subject differences (χ²(16)=34.57, p < 0,01). Consequently, we fitted the model separately for each subject. Parameter estimates for each individual subject and model fit, as assessed using Pearson X² goodness-of-fit tests, are presented in Table 1. Propabilities (p-values) smaller than 0.05 were considered significant. A significant value of the X2 statistic means that the null-hypothesis that the data can be described by a cumulative normal distribution has to be rejected.

Figure 2. Probability of a negative response (i.e. stimulus was judged ‘incongruent’ and/or ‘not straight-ahead’) as a function of heading angle. The solid line represents the probability that a stimulus meets the coherence criteria as a function of inertial heading angle (µ=15.06 σ=14.66). The dotted red line represents heading judgments as a function of heading angle; the dotted blue line represents coherence judgments as a function of heading angle.

Figure 1. Left panel: probability that a subject judged the stimulus as ‘incongruent’ as a function of inertial heading angle. Note that the visual stimulus for this condition always had zero heading. Curve parameters are the medians (µ=15.3º, σ=14.2º) over all subjects. Right panel: probability that a stimulus was judged ‘not straight ahead’, as a function of inertial heading angle. The solid line represent the incongruent (µ=15.6º, σ=6.8º) stimulus condition. As a comparison, the dotted line represents responses for congruent stimuli (µ=5.9º, σ=5.2º) condition. Parameters are distribution medians.

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American Institute of Aeronautics and Astronautics 6

IV.

Discussion

There are several reports in the literature on coherence zones for the amplitude of visual and inertial cues4,5 and some research has been done on a phase coherence zone9. We hypothesized that a similar zone of acceptable discrepancies exists for the direction of visual and inertial motion stimuli. We defined a coherence zone for zero heading as those values for which a combined visual-inertial stimulus met two requirements: I) the perceived heading of the stimulus should be zero, and II) a discrepancy in the heading of the visual and inertial cue should go unnoticed. We investigated how large the zone of acceptable discrepancies is for combinations of a visual stimulus suggesting zero heading and inertial stimuli with varying heading.

Whether or not a stimulus met the first requirement was determined from subject’s heading judgments for incongruent stimuli. The median 50% detection threshold for non-zero heading was 15.6º. Although there is no comparison data available for the incongruent stimuli, the median 50% threshold for congruent stimuli was 5.9º, which is in the same order of magnitude as earlier observations8. Whether or not the second requirement was met was assessed from congruency judgments. These indicated that the probability that an incongruency is detected increases gradually with stimulus angle. For the range of discrepancies tested (0º to 15º), none of the subjects achieved 100% correct detection of incongruency. This may be explained by poor heading discrimination qualities of the vestibular and somatosensory systems. It has been reported in the literature that these inertial senses are relatively poor heading transducers, with 75% detection thresholds of non-zero heading larger than 10º 8,10. Furthermore, it has been shown that perfect performance (i.e. 100% correct detection) is only achieved for heading angles larger than 100º 8. In contrast, the visual system is a quite precise and accurate heading sensor, with 75% detection thresholds of non-zero heading in the order of 0.65º to 1.02º according to one account11, up to about 5º in others8,10. Hence, the visual stimulus might have ‘dominated’ the percept. This conclusion is supported by data for two subjects who never reported a heading other than straight ahead. This suggests that their heading judgments were based solely on the visual stimulus. However, the analysis that was performed does not allow for any conclusions on how the brain combines visual and inertial information.

We combined heading and congruency judgments to determine the size of a heading coherence zone. As a threshold value we chose the 50% detection value. This value has been used before in the literature on yaw coherence zones5. The 50% threshold corresponds to the heading angle for which a subject would report that at least one of the requirements was not met in 50% of the cases. We observed considerable inter-subject differences in psychometric curve parameters. On the one hand, these differences must be due to inter-subject differences in sensitivity to signal discrepancies and sensitivities of the individual senses. However, the current methodology does not allow for analyses of performance of the individual senses. On the other hand, the differences are probably also caused by the strategy a subject used to respond to each question. With respect to heading judgments for example, two participants (No. 3 & 4) never reported not going straight ahead. Hence, they must have based their responses solely on the visual stimulus, even though they were instructed to use all available sensory information. This is reflected in the parameter estimates for these participants; the slope of their psychometric functions met the upper limit of the constraints. By using medians, these outliers do not have an influence on the measure we provide for the coherene zone.

The median threshold value was 13.98º for the incongruent condition. Assuming that there is no asymmetry between left- and rightward motion, this indicates that discrepancies in heading between a visual and an inertial

Table 1. Psychometric curve parameter estimates and model fit-test results for each individual subject. subject parameters goodness-of-fit

µ σ X² df p 1 15,57 1,09 0,000 3 1,000 2 13,98 13,27 6,779 3 0,079 3 15,06 50,00 3,168 3 0,366 4 35,37 50,00 3,111 3 0,375 5 12,57 14,68 4,643 3 0,200 6 12,87 7,73 9,776 3 0,021 7 8,70 4,01 0,782 3 0,854 8 12,81 20,23 1,038 3 0,792 9 20,43 16,95 5,477 3 0,140

The possible values for parameters µ and σ were constrained to the range of 0.1 to 50.

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stimulus are acceptable for subjects up to about ±14º in 50% of the cases. This zone does not necessarily apply to combinations of visual-inertial stimuli with other visual heading angles. Since the most frequent direction of human motion is along a straight ahead path, it is likely that humans are better tuned to detect deviations from straight ahead than to detect deviations from other headings. Therefore, the coherence zone for other visual angles is likely to be larger.

V.

Conclusion

We investigated whether the concept of a coherence zone applies for visual and inertial cues in the perception of heading. Subjects were presented with stimuli consisting of a visual stimulus with zero heading, coupled with inertial cues with a range of different headings. Subjects judged I) whether or not the stimulus had zero-heading and II) whether the cues were congruent. Stimuli that were judged both having zero heading and congruent were scored as falling within the heading coherence zone. We fitted psychometric functions to the data to determine the 50% detection threshold, which amounted to 13.98º. This indicates that for linear horizontal motion cues, heading of an inertial cue may deviate up to 14° from a visual cue with zero heading in 50% of the cases, before it is noticed that the cues are in conflict or are not interpreted as having zero heading. We conclude that there is indeed a coherence zone for visual and inertial estimates of heading. However, the present results only apply when the visual stimulus has zero heading. To determine the coherence zone for different visual angles, more work needs to be done.

Acknowledgments

We thank Dr. J. Weesie from Utrecht University for helpful discussions on the manuscript and data analysis.

References

1

Zacharias, G.L., and L.R. Young (1981). “Influence of combined visual and vestinular cues on human perception and control of horizontal rotation”, Experimental Brain Research. 41, 159-171.

2MacNeilage P.R., Banks M.S., Berger D.R., Bülthoff H.H. (2007). “A Bayesian model for the disambiguation of gravito-inertial force by visual cues”. Experimental Brain Research 179, 263-290.

3

Groen, E.L., and W. Bles (2004). “How to use body tilt for the simulation of linear motion”, Journal of Vestibular Research 14; 375-385.

4

Van der Steen, H., Self-Motion Perception, Ph.D. thesis, Delft University of Technology, 1998. 5

Valente Pais, A.R., Van Paassen, M.M., Mulder, M., & Wentink, M. (2009). “Perception Coherence Zones in Flight Simulation”. AIAA Modeling and Simulation Technologies Conference and Exhibit, Chicago, IL, USA, August 10-13, No.AIAA 2009-6242.

6

Bles, W., & Groen, E.L. (2009). “The DESDEMONA Motion Facility: Applications for Space Research”, Microgravity

Science and Technology, 21(4), 281-286. 7

Howard, I.P., & Heckmann, T. (1989). “Circular vection as a function of the relative sizes, distances, and positions of two competing visual displays”. Perception, 18(5), 657-665.

8

Telford, L., Howard, I.P., & Ohmi, M. (1995). “Heading judgments during active and passive self-motion”. Experimental

Brain Research, 104, 502-510. 9

Grant, P., & Lee, P.T.S. (2007). “Motion-Visual Phase-Error Detection in a Flight Simulator”. Journal of Aircraft, Vol. 44, No. 3, 927-935.

10

De Winkel, K.N., Weesie, J., Werkhoven, P., & Groen, E.L. (2010). “Integration of Visual and Inertial Cues in Perceived Heading of Self-motion”. Submitted for publication.

11

Warren, W.H., Morris, M.W., & Kalish, M. (1988). “Perception of translational heading from optical flow”. Journal

of Experimental Psychology: Human Perception and Performance, 14, 646-660.

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