First, we probed the effect of fresh experience of flying on the observer's perceptual biases. We randomly recruited a number of pilot cadets who were in flight training. Half of them belonged to an experimental group, which was required to fly for at least one hour in the sky before observing ambiguous PLWs. The other half was a control group, in which participants were given at least two days of rest before observing the same stimuli used in the experimental group.
We collected the responses of the observers on the walking directions of the PLWs and the corresponding viewpoints. Trials with incorrect responses and data from subjects with low correct rates (see methods) were excluded from the statistics. If observers had pronounced perceptual biases, their responses to consistent stimuli would be biased toward the preferred interpretation of ambiguous stimuli. But for conflicting stimuli, the two biases would counter each other and were therefore hard to detect. To confirm the existence of perceptual biases, we should first look at the proportions of two types of responses for consistent stimuli. The mean proportions and standard error mean of all five angles and two groups are shown in
Figure 2. Within each group, we compared the proportions of the two types of responses across all five angles using repeated measures analysis of variance (ANOVA). As shown in
Figure 2, observers from both groups preferred the FTV_VFA perceptually with striking significance (group after flying:
F(1, 17) = 15.97,
p < 0.001,
\(\eta _p^2\) = 0.48; group rest on ground:
F(1, 16) = 126.13,
p < 0.001,
\(\eta _p^2\) = 0.89). This was in agreement with previous study showing the cooperation of FTV and VFA biases (
Zhang et al., 2017). So, whether such cooperation was different between groups? Next, we used a mixed-design ANOVA to compare the dominant FTV_VFA percept between the two groups and across vertical angles. The results showed no significant difference between the groups (
F(1, 33) = 1.13,
p = 0.30,
\(\eta _p^2\) = 0.03) and across vertical angles (
F(4, 132) = 0.36,
p = 0.83,
\(\eta _p^2\) = 0.01). So, there were indeed perceptual biases in interpreting these ambiguous visual stimuli, but it is hard to observe any effect of flying experience on perceptual biases for consistent stimuli.
However, perception will be systematically biased under conditions where utility and accuracy conflict with one another (
Martin, Solms, & Sterzer, 2021). Previous studies had categorized FTV bias as a type of error management bias and VFA bias as a type of statistics-based bias (
Johnson, Blumstein, Fowler, & Haselton, 2013;
Troje & McAdam, 2010;
Zhang et al., 2017). For conflicting stimuli, the competing of two biases would fluctuate the rate of FTV and VFA percepts. As a result, only one bias could dominate the observer's perception (
Zhang et al., 2017). From this, we computed a biases competition index (rate
VFA − rate
FTV) to quantify biases competition. Here, a larger index corresponds to a stronger VFA bias or a weaker FTV bias. To test whether flying could modulate pilot perceptual biases, we compared the bias competition index across vertical angles between the experimental and control groups using a mixed-design ANOVA. As shown in
Figure 3A, the bias index decreased significantly with decreasing vertical angle (
F(4, 132) = 3.51,
p < 0.01,
\(\eta _p^2\) = 0.10) and was significantly larger after the flight than after two days of ground rest (
F(1, 33) = 5.30,
p < 0.05,
\(\eta _p^2\) = 0.14). And there was no significant interaction between the vertical angle and the group (
F(4, 132) = 0.28,
p = 0.89,
\(\eta _p^2\) = 0.01). In other words, the strength of the VFA bias dropped whereas the strength of the FTV bias rose as the vertical angle decreased. This result was consistent with our previous study (
Zhang et al., 2017). Meanwhile, a more important result was that the VFA bias rose significantly after flight. A post hoc comparison of bias indexes between the two groups showed that such an enhancement of the VFA bias was observed not only at larger but also at smaller vertical viewpoints (
Table 1, 25°:
t(33) = 2.29,
p < 0.05,
d = 0.73; 20°:
t(33) = 2.08,
p < 0.05,
d = 0.67; 15°:
t(33) = 2.02,
p < 0.05,
d = 0.65; 10°:
t(33) = 2.09,
p < 0.05,
d = 0.68; 5°:
t(33) = 2.29,
p < 0.05,
d = 0.73). This result suggests that flight activity may increase the tendency of pilots to perceive themselves as higher than the target, which is moving away when the visual conditions are ambiguous.
One might argue that flying would change the pilot's perceptual sensitivities on judging their viewpoints and targets’ moving directions. Existing literature reports that flight experience increases the sensitivity to perceive pitch angular displacements (
Tribukait & Eiken, 2012). Thus it is necessary to rule out this possibility. Here, we used the mixed-design ANVOA to compare the correct rate at all five angles for conflicting stimuli between the two groups. The results are shown in
Figure 3B, where the correct rate decreased significantly as the vertical angle decreased (
F(4, 132) = 19.22,
p < 0.001,
\(\eta _p^2\) = 0.37). But there was no significant difference between the two groups (
F(1, 33) = 1.16,
p = 0.29,
\(\eta _p^2\) = 0.03). It is therefore unlikely that pilots’ sensitivities play a key role in modulating the intensity of perceptual bias after flight.
So far, we have observed that flying definitely modifies our perceptual biases. Existing literature proposed that the perceptual bias could be modulated by prior knowledge about the environment (
Harrison & Backus, 2010). In our study, flying undoubtedly changed our brain's Bayesian statistics of the environment. However, the vestibular state and visual experience of pilots on the sky were simultaneously altered. So, we further asked which factors in the flight mainly contributed to the bias shift observed above. We then recruited another group of pilot cadets, who were training in simulated flight on ground. They had just gone through an hour-long visual experience similar to pilot cadets flying in the sky before observing the ambiguous PLW, yet they wouldn't experience a variable vestibular state at a higher spatial position than most targets. We compared the bias index between this group and the control group at all vertical angles using a mixed-design ANOVA. If visual experiences played important role, we would get a bias shift effect here. In contrast, the results shown in
Figure 3C and
Table 1 show that they had no significant bias shift from the control group (
F(1, 28) = 0.64,
p = 0.43,
\(\eta _p^2\) = 0.02). This suggests that the visual experience at higher viewpoints is insufficient to produce a significant shift in the VFA and FTV bias.
Because visual experience of higher viewpoints had no effect, we instead tested whether more experience of variable vestibular states during flight could make the VFA bias stronger. We recruited a group of expert pilots with mean flight experience of 9433 hours and at least two weeks on the ground. They definitely had more experience of flying at higher altitudes in space than the average person. They were asked to observe PLWs following a procedure identical to that followed by the group of pilot cadets resting on the ground. Their bias index, displayed in
Figure 3D, appears larger than the control group's at all angles and was marginally significant (
F(1, 28) = 2.84,
p = 0.10,
\(\eta _p^2\) = 0.09). Specifically, as shown in
Table 1, a post hoc comparison of the bias index between expert pilots and pilot cadets during ground rest revealed that the expert pilots had a larger bias index at angles of 25° (
t(28) = 1.93,
p < 0.10,
d = 0.68) and 15° (
t(28) = 1.74,
p < 0.10,
d = 0.62). This result suggests that the factor of experiencing more variable vestibular states at higher spatial positions than most targets plays a part role in the perceptual bias shift.