The size of the Fröhlich effect was estimated in the same way as in
Experiment 1. Individual PSEs were then plotted against the SOAs to reveal the time course of attentional modulation of Fröhlich effect.
Figure 4B represents the average time course of the Fröhlich effect modulation. Overall, SOA had little effect on the perceived onset position except at the two late SOAs (+200 and +300 ms) where the Fröhlich effect increased compared to the other SOAs,
F(6, 36) = 53.1,
p < 0.001,
η2 = 0.87). This pattern of results was shared by all subjects.
This increase is consistent with the attentional explanation of the Fröhlich effect, as the later attention arrives at the moving target, the bigger the mislocalization. As in
Experiment 1, the mislocalizations after precues (−300, −200, and −100 ms), although smaller than seen in
Experiment 1, were still significantly greater than zero,
M = −4.12 ,
t(20) = −2.26,
p = 0.04, again confirming that Fröhlich effect was present even when attention was shifted towards the target area prior to motion onset. Note, however, that in
Experiment 1, a valid cue at −100 ms SOA yielded mislocalization of −22° in
Experiment 1 but only −3.9° in
Experiment 2. A few differences between the tasks may account for this reduction of the position shift. First, the range of starting angles was larger in
Experiment 2 (−80°:80° compared to −60°:60°), possibly helping the discrimination performance. Second, in
Experiment 2 the stimuli were simultaneously presented in all the placeholders, whereas in
Experiment 1 stimuli were presented one at a time. This presence of irrelevant but perceptually similar distractors could enhance the effectiveness of the cue. Additionally, the irrelevant stimuli could provide references for the judgment about the starting angle of the target. Third, the offset angle of the stimulus was predictive of its onset angle, since the motion duration was fixed. However, participants were not aware of this association and never received response feedback.
We also analyzed the slopes of the psychometric curves as a function of SOAs (
Figure 5). Slopes were calculated by fitting logistic functions to participants' responses as a function of onset angle for each SOA condition. Cueing delay could affect not only the magnitude of the perceptual effect, but also the memory of the percept, making the onset locations at later SOAs more difficult to report. In this case we would expect the slope of the psychometric functions to be shallower for the later cues. One-way, repeated-measures ANOVA with SOA as a factor did show a significant main effect,
F(6, 36) = 19.2,
p < 0.001,
η2 = 0.58, meaning that the task indeed became more difficult with increasing SOA.