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    <responseDate>2026-10-14T21:33:36Z</responseDate>
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    <identifier>10.57760/sciencedb.41488</identifier>
    <datestamp>2026-07-02T16:08:10Z</datestamp>
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  <dc:date>2026-07-02</dc:date>
  <dc:title>How Does Self-Construal Shape Face Perception? Evidence from ERP in Dynamic and Static Learning Faces</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41488</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>By manipulating facial movements during the learning phase and the spatial frequency of faces during the testing phase, the current study investigated the time course of holistic and featural face processing in individuals with different self-constructions under dynamic and static learning conditions. Behavioral results showed that participants had higher accuracy and faster reaction times in recognizing low spatial frequency faces under dynamic learning conditions. The ERP results revealed that low spatial frequency faces elicited larger P1 amplitude compared to high spatial frequency faces in both static and dynamic learning conditions, with a greater advantage for low spatial frequency faces in dynamic conditions. Self-construction did not influence this effect. However, in the P2 component, individuals with an independent self-construction showed a stronger advantage for low spatial frequency faces under dynamic learning conditions compared to interdependent individuals. This difference was not observed under static learning conditions.&amp;nbsp;These results support the interactive model of self-construction and facial perceptual processing, suggesting that social cognition influences visual information processing through the allocation of cognitive resources in dynamic contexts. This conclusion not only deepens our understanding of the mechanisms of self and facial processing but also offers a new perspective on the neural underpinnings of social cognitive diversity.</dc:description>
  <dc:subject>Self-construal priming; face; holistic processing; featural processing</dc:subject>
  <dc:creator>Chen Enguang</dc:creator>
  <dc:creator>Wang Hailing</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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