2012
DOI: 10.3724/sp.j.1041.2011.00373
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Effects of Spatial Frequencies on Recognition of Facial Identity and Facial Expression

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Cited by 3 publications
(14 citation statements)
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“…RTs were also shorter when the frequency of the embedded components of the target word was higher. When both frequency effects were examined within one experiment, interactions between character frequency and compound word frequency were found, although the interaction patterns differed from one study to another (Tse & Yap, 2018; Wang & Peng, 1999). Peng et al (1999) used a factorial design and found facilitative character frequency effects only for frequent compound words.…”
Section: Compound Word Processing In Alphabetic Writing Systemsmentioning
confidence: 91%
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“…RTs were also shorter when the frequency of the embedded components of the target word was higher. When both frequency effects were examined within one experiment, interactions between character frequency and compound word frequency were found, although the interaction patterns differed from one study to another (Tse & Yap, 2018; Wang & Peng, 1999). Peng et al (1999) used a factorial design and found facilitative character frequency effects only for frequent compound words.…”
Section: Compound Word Processing In Alphabetic Writing Systemsmentioning
confidence: 91%
“…Furthermore, the interaction terms between whole-word frequency and character frequency as well as whole-word frequency and component-word frequency were included in the second step. We included the interaction terms because some previous studies have shown interactive effects between whole-word frequency and character frequency (Cui et al, 2021; Tse & Yap, 2018; Peng et al, 1999; Wang & Peng, 1999; Yan et al, 2006). All independent variables were mean-centered and standardized (Ford et al, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…In the second stage of face recognition, both facial identity recognition and facial expression recognition were affected by spatial frequency information (e.g., Goffaux et al, 2005 ; Goffaux and Rossion, 2006 ; Wang et al, 2011 ). First, White (2002) used the configural/featural change technique to examine the differences between facial identity recognition and facial expression recognition.…”
Section: Introductionmentioning
confidence: 99%
“…Then, Goffaux et al (2005) and Goffaux and Rossion (2006) examined the effect of spatial frequency information on facial recognition and found that LSF was related to configural processing, while HSF was related to featural processing. Based on these findings, researchers deduced that facial identity recognition was related to configural processing and depended mainly on LSF; facial expression recognition was related to featural processing and depended mainly on HSF (e.g., White, 2002 ; Goffaux et al, 2005 ; Goffaux and Rossion, 2006 ; Gao and Maurer, 2011 ; Wang et al, 2011 ). Although the view that facial identity recognition depends more on LSF has been relatively unanimously endorsed, researchers have questioned the view that facial expression recognition depends mainly on HSF.…”
Section: Introductionmentioning
confidence: 99%
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