Limits...
Misaligned and Polarity-Reversed Faces Determine Face-specific Capacity Limits

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ABSTRACT

Previous research using flanker paradigms suggests that peripheral distracter faces are automatically processed when participants have to classify a single central familiar target face. These distracter interference effects disappear when the central task contains additional anonymous (non-target) faces that load the search for the face target, but not when the central task contains additional non-face stimuli, suggesting there are face-specific capacity limits in visual processing. Here we tested whether manipulating the format of non-target faces in the search task affected face-specific capacity limits. Experiment 1 replicated earlier findings that a distracter face is processed even in high load conditions when participants looked for a target name of a famous person among additional names (non-targets) in a central search array. Two further experiments show that when targets and non-targets were faces (instead of names), however, distracter interference was eliminated under high load—adding non-target faces to the search array exhausted processing capacity for peripheral faces. The novel finding was that replacing non-target faces with images that consisted of two horizontally misaligned face-parts reduced distracter processing. Similar results were found when the polarity of a non-target face image was reversed. These results indicate that face-specific capacity limits are not determined by the configural properties of face processing, but by face parts.

No MeSH data available.


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Mean reaction times in the face classification task of Experiment 3 as a function of load-type and congruency. Error bars represent standard error of the mean.
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Figure 6: Mean reaction times in the face classification task of Experiment 3 as a function of load-type and congruency. Error bars represent standard error of the mean.

Mentions: There was a significant effect of load-type, F(2, 66) = 292.0, p ≤ 0.001, partial η2 = 0.889, with negative-face load trials slower than low load, p < 0.001, and high load conditions slower than negative-face load, p < 0.001. There was a main effect of congruency, F(1, 33) = 9.34, p < 0.01, partial η2 = 0.221, with congruent trials being responded to faster than incongruent ones (see Figure 6). There was also a main effect (Greenhouse-Geisser corrected degrees of freedom) of block, F (3.36, 111.11) = 6.81, p = < 0.001, partial η2 = 0.171, with mean response time decreasing from Block 1 (M = 1017, SD = 176) to Block 8 (M = 939, SD = 178), demonstrating a significant linear trend, F(1, 33) = 15.40, p < 0.001, partial η2 = 0.318. There was a significant interaction effect between load-type and congruency, F(2, 66) = 3.80, p = 0.027, partial η2 = 0.103, but there were no other significant interaction effects, all Fs < 1.34. The interaction was explained by a significant difference in the congruency effect between low load and high load conditions, F(1, 33) = 7.36, p = 0.01, partial η2 = 0.18. There was no significant difference in the congruency effect between high load and reversed-polarity conditions, F(1, 33) < 1. Follow up t-tests showed congruency differences only under low, t(33) = 3.87, p < 0.001, but not in the high load, t(33) < 1, or reverse load condition, t(33) = 1.28, p = 0.21. An equivalent error analysis showed no effects, all Fs < 1.33, see Table 3.


Misaligned and Polarity-Reversed Faces Determine Face-specific Capacity Limits
Mean reaction times in the face classification task of Experiment 3 as a function of load-type and congruency. Error bars represent standard error of the mean.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5037134&req=5

Figure 6: Mean reaction times in the face classification task of Experiment 3 as a function of load-type and congruency. Error bars represent standard error of the mean.
Mentions: There was a significant effect of load-type, F(2, 66) = 292.0, p ≤ 0.001, partial η2 = 0.889, with negative-face load trials slower than low load, p < 0.001, and high load conditions slower than negative-face load, p < 0.001. There was a main effect of congruency, F(1, 33) = 9.34, p < 0.01, partial η2 = 0.221, with congruent trials being responded to faster than incongruent ones (see Figure 6). There was also a main effect (Greenhouse-Geisser corrected degrees of freedom) of block, F (3.36, 111.11) = 6.81, p = < 0.001, partial η2 = 0.171, with mean response time decreasing from Block 1 (M = 1017, SD = 176) to Block 8 (M = 939, SD = 178), demonstrating a significant linear trend, F(1, 33) = 15.40, p < 0.001, partial η2 = 0.318. There was a significant interaction effect between load-type and congruency, F(2, 66) = 3.80, p = 0.027, partial η2 = 0.103, but there were no other significant interaction effects, all Fs < 1.34. The interaction was explained by a significant difference in the congruency effect between low load and high load conditions, F(1, 33) = 7.36, p = 0.01, partial η2 = 0.18. There was no significant difference in the congruency effect between high load and reversed-polarity conditions, F(1, 33) < 1. Follow up t-tests showed congruency differences only under low, t(33) = 3.87, p < 0.001, but not in the high load, t(33) < 1, or reverse load condition, t(33) = 1.28, p = 0.21. An equivalent error analysis showed no effects, all Fs < 1.33, see Table 3.

View Article: PubMed Central - PubMed

ABSTRACT

Previous research using flanker paradigms suggests that peripheral distracter faces are automatically processed when participants have to classify a single central familiar target face. These distracter interference effects disappear when the central task contains additional anonymous (non-target) faces that load the search for the face target, but not when the central task contains additional non-face stimuli, suggesting there are face-specific capacity limits in visual processing. Here we tested whether manipulating the format of non-target faces in the search task affected face-specific capacity limits. Experiment 1 replicated earlier findings that a distracter face is processed even in high load conditions when participants looked for a target name of a famous person among additional names (non-targets) in a central search array. Two further experiments show that when targets and non-targets were faces (instead of names), however, distracter interference was eliminated under high load&mdash;adding non-target faces to the search array exhausted processing capacity for peripheral faces. The novel finding was that replacing non-target faces with images that consisted of two horizontally misaligned face-parts reduced distracter processing. Similar results were found when the polarity of a non-target face image was reversed. These results indicate that face-specific capacity limits are not determined by the configural properties of face processing, but by face parts.

No MeSH data available.


Related in: MedlinePlus