• 沒有找到結果。

In Experiment 1 and 2, we demonstrated that contrast affected both the footsteps

and fan illusions in the same way regardless if motion signals at the leading or trailing

edges were present (Experiment 1A) or absent (Experiment 2). Furthermore, a motion

capture variation of the fan illusion analogous to that of the footsteps illusion (Howe

et al., 2006) also varied with contrast as predicted (Experiment 1B). These results are

consistent with Anstis’s (2001) and Howe et al’s (2006) explanations of the footsteps

illusion.

However, according to Howe et al.’s (2006) model, straddled and un-straddled

versions of the static motion footsteps illusion should be affected by the change in

contrast of background stripes in the same way. Contrary to this prediction, in the

absence of motion signals from the leading and trailing edges of the moving bar, only

the un-straddled versions of the footsteps and fan illusion had decreased illusion

strength at higher stripe contrasts while the straddled versions remained the same

(Experiment 2). This result indicates that something more is involved in determining

illusion strength other than the contrasts of the edges.

A critical difference between the two versions is the presence of

deletion/accretion cues in the un-straddled versions revealed by contrast-induced

surface segregation of the occluding stripes and occluded bars/fans. The manner

26

objects disappear and subsequently reappear indicate both the presence of an occluder

and the spatiotemporal continuity of the moving objects. Spatiotemporal continuity

has often been regarded as a necessary or even sufficient condition for object

persistence (Scholl, 2007). During occlusion, mid-level representations of objects (the

object files, Treisman, 1992) are maintained by spatiotemporal continuity (Cheries et

al., 2009; also see Flombaum, et al., 2009, for a review) and representation of

spatiotemporal continuity is sufficient for representing identical objects even after

complete feature change during occlusion (the tunnel effect, Michotte, 1991). The

primate brain might have been hard-wired to realistically represent the way objects

move according to physical laws, even when they are occluded (Scholl, 2007).

Human and nonhuman primates prioritize spatiotemporal continuity when

tracking objects (Flombaum et. al., 2009). We propose that (1) the cause of the static

capture illusion was the lack of conditions for tracking and (2) attentive tracking aids

in smoother motion perception. This was supported by Experiment 2 and 3. In

Experiment 2, the presence of depth (surface segregation) and deletion/accretion cues

(in the un-straddled fans) resulted in smoother motion perception. In Experiment 3A,

longer overlapping durations taxing attentional resources further increased the static

capture of equiluminant fans and footsteps displays. In Experiment 3B, interfering

distracters caused the smoother mid-contrast fan in Experiment 2 to “stop.”

27

There may be more factors influencing attentive tracking, such as the importance

of object history to the object updating process (Moore, Mordkoff, & Enns, 2007). In

the straddled versions, the moving fans/bars are never completely in view, but in the

un-straddled versions, they are entirely exposed before disappearing completely.

Therefore, the smoother motion perception in the latter might also be caused by better

attentive tracking with longer viewing histories.

Attentive tracking can explain the difference in illusion strength in the straddled

and un-straddled footsteps illusions, while Howe et al.’s (2006) explanation would

lead to somewhat odd implications. Howe et al. (2006) explain the stronger illusion

for the straddled version with larger contrast-weighted stationary signals from the top

and bottom edges of the moving bar. However, when the moving bar and stationary

stripes were equiluminant, even though there were no motion signals when all leading

and trailing edges overlap with the stripes, the illusion strength was still different for

the two versions (Experiment 2). We explain the stronger illusion of the straddled

version by impairment of attentive tracking, but according to Howe et al. (2006), this

is because the stationary signals of the top and bottom edges of the straddled bar have

made the already stationary display become even more stationary!

Furthermore, motion capture has been shown to be dependent on whether the

stationary and moving objects are represented on the same surface (Cavanagh, 1992;

28

Culham & Cavanagh, 1994; Ramachandran & Anstis, 1986). Therefore, the effect of

contrast manipulation in Experiment 1B could also be caused by the segregation of

surfaces that decreases motion capture. As other motion capture stimuli have been

shown to be modulated by attentive tracking (Cavanagh, 1992; Culham & Cavanagh,

1994), the motion capture variation of the footsteps and fan illusions might also share

common mechanisms related to attentive tracking.

Previous studies in the footsteps illusion have overlooked attention as a factor

influencing perceived motion. Anstis (2001, 2004) mentioned that the footsteps

illusion is stronger in the observer’s peripheral vision. Sunaga, Sato, Arikado, and

Jomoto (2008) demonstrated that in the footsteps illusion, low frequency samplings of

a static contrast-induced mis-alignment illusion contributed largely to the alternating

mis-alignments of the black and white moving bars. As high-spatial-frequency

information is less sensitive in peripheral vision, they concluded that this was the

main cause of the illusion. However, Intriligator and Cavanagh (2001) found that the

resolution of attention scales with larger eccentricity and is coarser in the upper visual

field and along the radial lines from fixation. Therefore, attention and eccentricity

may be confounded in these findings. As this study shows that attentional modulation

can affect and may be the cause of the footsteps and fan illusions, the role of attention

can be a future line of investigation for footsteps and other contrast-dependent motion

29 illusions.

30

References

Alvarez, G. A., & Franconeri, S. L. (2007). How many objects can you track?:

Evidence for a resource-limited attentive tracking mechanism. Journal of

Vision, 7, 1-10.

Anstis, S. (2001). Footsteps and inchworms: Illusions show that contrast affects

apparent speed. Perception, 30, 785-794.

Anstis, S. (2004). Factors affecting footsteps: contrast can change the apparent speed,

amplitude and direction of motion. Vision Research, 44, 2171-2178.

Blakemore, M. R., & Snowden, R. J. (1999). The effect of contrast upon perceived

speed: a general phenomenon? Perception, 28, 33-48.

Blakemore, M. R., & Snowden, R. J. (2000). Textured backgrounds alter perceived

speed. Vision Research, 40, 629-638.

Bower, T. G. R. (1974). Development of infancy. San Francisco, CA: W.H. Freeman.

Cavanagh, P. (1992). Attention-based motion perception. Science, 257, 1563-1565.

Cheries, E. W., Mitroff, S. R., Wynn, K., & Scholl, B. J. (2009). Do the same

principles constrain persisting object representations in infant cognition and

adult perception?: the cases of continuity and cohesion. In B. Hood & L.

Santos (Eds.), The origins of object knowledge. Oxford: Oxford University

Press.

31

Culham, J. C., & Cavanagh, P. (1994). Motion capture of luminance stimuli by

equiluminous color gratings and by attentive tracking. Vision Research, 34,

2701-2706.

Ehrenstein, W. H. (2003). Basics of seeing motion. Arquivos Brasileiros de

Oftalmologia, 66, 44-52.

Flombaum, J. I., Scholl, B. J., & Pylyshyn, Z. (2008). Attentional resources in visual

tracking through occlusion: The high-beams effect. Cognition, 107, 904-931.

Flombaum, J. I., Scholl, B. J., & Santos, L. R. (2009). Spatiotemporal priority as a

fundamental principle of object persistence. In B. Hood & L. Santos (Eds.),

The Origins of Object Knowledge. Oxford: Oxford University Press.

Hespos, S., Gredeback, G., von Hofsten, C., & Spelke, E. (in press). Occlusion is hard:

Comparing predictive reaching for visible and hidden objects in infants and

adults. Cognitive Science.

Holcombe, A. O. (2003). Occlusion cues resolve sudden onsets into morphing or line

motion, disocclusion, and sudden materialization. Journal of Vision, 3,

562-572.

Howe, P., Thompson, P., Anstis, S., Sagreiya, H., & Livingstone, M. (2006).

Explaining the footsteps, bellydancer, Wenceslas, and kickback illusions.

Journal of Vision, 6, 1396-1405.

32

Intriligator, J., & Cavanagh, P. (2001). The spatial resolution of visual attention.

Cognitive Psychology, 43, 171-216.

Kahneman, D., Treisman, A., & Gibbs, B. (1992). The reviewing of object files:

object-specific integration of information. Cognitive Psychology, 24, 175-219.

Kanizsa, G. (1979). Organization in vision: Essays on Gestalt perception: Praeger

Publishers.

Moore, C. M., Mordkoff, J. T., & Enns, J. T. (2007). The path of least persistence:

Object status mediates visual updating. Vision Research, 47, 1624-1630.

Mrotek, L. A., & Soechting, J. F. (2007). Predicting curvilinear target motion through

an occlusion. Experimental Brain Research, 178, 99-114.

Oksama, L., & Hyona, J. (2004). Is multiple object tracking carried out automatically

by an early vision mechanism independent of higher-order cognition? An

individual difference approach. Visual Cognition, 11, 631-671.

Olson, I. R., Gatenby, J. C., Leung, H.-C., Skudlarski, P., & Gore, J. C. (2004).

Neuronal representation of occluded objects in the human brain.

Neuropsychologia, 42, 95-104.

Pylyshyn, Z. & Storm, R. W. (1988). Tracking multiple independent targets: evidence

for a parallel tracking mechanism. Spatial Vision, 3, 179-197.

33

Ramachandran, V. S., & Anstis, S. (1986). The perception of apparent motion.

Scientific American, 254, 102-109.

Scholl, B. J. (2007). Object persistence in philosophy and psychology. Mind and

Language, 22, 563-591.

Scholl, B. J., & Feigenson, L. (2004). When out of sight is out of mind: perceiving

object persistence through occlusion vs. implosion. Journal of Vision, 4, 26.

Scholl, B. J. & Pylyshyn, Z. (1999). Tracking multiple items through occlusion: clues

to visual objecthood. Cognitive Psychology, 38, 259-290.

Shuwairi, S. M., Curtis, C. E., & Johnson, S. P. (2007). Neural substrates of dynamic

object occlusion. Journal of Cognitive Neuroscience, 19, 1275-1285.

Stone, L., & Thompson, P. (1992). Human speed perception is contrast dependent.

Vision Research, 32, 1535-1549.

Sunaga, S., Sato, M., Arikado, N., & Jomoto, H. (2008). A static geometrical illusion

contributes largely to the footsteps illusion. Perception, 37, 902-914.

Thompson, P. (1982). Perceived rate of movement depends on contrast. Vision

Research, 22, 377-380.

Viswanathan, L., & Mingolla, E. (1998). Attention in depth: disparity and occlusion

cues facilitate multi-element visual tracking. Technical Report

CAS/CNS-TR-98-012.

34

Yantis, S. (1995). Perceived continuity of occluded visual objects Psychological

Science, 6, 182-186.

Yeh, S.-L., Chiu, C.-H., & Hsiao, C.-H. (2007). The Gestaltist's error revisited with

sound. Journal of Vision, 8, 175.

(a)

(b)

Figure 1. The standard footsteps illusion consists of black and white bars that appear to

stop-and-go when moving across black-and-white stripes (a). In the standard fan illusion, a smaller rotating fan also appears to stop-and-go when superimposed with a stationary

35 fan (b).

Straddled Un-straddled

Moving

相關文件