Consecutive adjustments for each condition were averaged for each participant. Illusion magnitude was computed as a percentage of error in size adjustment compared to the reference target (i.e., adjusted target size minus reference size divided by reference size). The
p-values were corrected with Greenhouse-Geisser epsilon in cases of sphericity violation. Illusion magnitude was subjected to a three-way repeated measures analysis of variance (ANOVA) with gap size, object role, and element type as within-subject factors, excluding the conditions with complete squares or no-flankers (
Figure 2). The analysis revealed a main effect of gap size [
F (8, 72) = 5.06,
p < 0.001, η
p2 = 0.36], showing decreased illusion magnitude with increasing gap size, and a main effect of element type [
F (1, 9) = 84.93,
p < 0.001, η
p2 = 0.90], showing a higher magnitude for sides (
M = 0.09,
SD = 0.6) compared with corners (
M = 0.07,
SD = 0.6). The interaction between the two factors was significant [
F (8, 72) = 2.4,
p < 0.02, η
p2 = 0.21], as were the interactions between object role and element type [
F (1, 9) = 40.82,
p < 0.001, η
p2 = 0.82], object role and gap size [
F (8, 72) = 9.05,
p < 0.001, η
p2 = 0.50], and among all three factors [
F (8, 72) = 2.8,
p = 0.01, η
p2 = 0.24]. The main effect of object role did not reach significance [
F < 1].
The data from the different object roles were further subjected to separate two-way repeated measures ANOVAs with gap size and element type as within-subject factors. For flankers as grouped squares, the analysis revealed a significant main effect of gap size, showing a decrease in magnitude with an increase in gap size [F (8, 72) = 18.67, p < 0.001, ηp2 = 0.68]. The effect of element type and its interaction with gap size were not significant [F (8, 72) = 2.58, p = 0.14, ηp2 = 0.22; F<1, respectively]. For targets as grouped squares, the analysis revealed a significant main effect of element type [F (1, 9) = 59.76, p < 0.001, ηp2 = 0.87], showing higher magnitude for sides-targets (M = 0.11, SD = 0.6) compared with corners-targets (M = 0.6, SD = 0.6), and an interaction between element type and gap size [F (8, 72) = 3.53, p = 0.02, ηp2 = 0.28], showing a decrease in magnitude with an increase in gap size for corners-targets [F (8, 72) = 2.75, p = 0.05, ηp2 = 0.24], and an increase in magnitude with an increase in gap size for sides-targets [F (8, 72) = 2.53, p = 0.02, ηp2 = 0.22]. The effect of gap size did not reach significance [F (8, 72) = 1.76, p = 0.1, ηp2 = 0.16].
Clearly, our objecthood manipulation affected the Ebbinghaus illusion, because for most conditions the illusion magnitude decreased with a decrease in visible contour. The odd case of sides-targets showing larger adjustment errors with decreasing amount of visible contour poses a challenge for the objecthood hypothesis at first glance, as it would be expected that the contextual effect would be in the same direction whether the grouped object is the target or the flankers. However, we believe it reflects a difficulty in comparing the degraded target to the reference rather than the influence of contextual objects. That is, integration of the target's contours to an imaginary square is impaired once the corners are removed, hence, the contours are integrated into an alternative shape, which is smaller in surface than the original square. Thus trying to match this smaller shape to the larger square will result in an adjustment bias regardless of the surrounding objects. Consequently, as the contour segments become smaller, the larger the difference between the alternative shape and the reference square will be. We find support for this idea in the results of the subjective reports portion of this experiment, described in the following section. In addition, an adjustment bias for the sides-target is confirmed in
Experiment 3.