Displaying publications 21 - 23 of 23 in total

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  1. Tham DS, Bremner JG, Hay D
    J Exp Child Psychol, 2017 03;155:128-137.
    PMID: 27965175 DOI: 10.1016/j.jecp.2016.11.006
    The role of experience with other-race faces in the development of the other-race effect was investigated through a cross-cultural comparison between 5- and 6-year-olds and 13- and 14-year-olds raised in a monoracial (British White, n=83) population and a multiracial (Malaysian Chinese, n=68) population. British White children showed an other-race effect to three other-race faces (Chinese, Malay, and African Black) that was stable across age. Malaysian Chinese children showed a recognition deficit for less experienced faces (African Black) but showed a recognition advantage for faces of which they have direct or indirect experience. Interestingly, younger (Malaysian Chinese) children showed no other-race effect for female faces such that they can recognize all female faces regardless of race. These findings point to the importance of early race and gender experiences in reorganizing the face representation to accommodate changes in experience across development.
    Matched MeSH terms: Facial Recognition*
  2. Wong HK, Estudillo AJ, Stephen ID, Keeble DRT
    Sci Rep, 2021 04 19;11(1):8507.
    PMID: 33875735 DOI: 10.1038/s41598-021-87933-1
    It is widely accepted that holistic processing is important for face perception. However, it remains unclear whether the other-race effect (ORE) (i.e. superior recognition for own-race faces) arises from reduced holistic processing of other-race faces. To address this issue, we adopted a cross-cultural design where Malaysian Chinese, African, European Caucasian and Australian Caucasian participants performed four different tasks: (1) yes-no face recognition, (2) composite, (3) whole-part and (4) global-local tasks. Each face task was completed with unfamiliar own- and other-race faces. Results showed a pronounced ORE in the face recognition task. Both composite-face and whole-part effects were found; however, these holistic effects did not appear to be stronger for other-race faces than for own-race faces. In the global-local task, Malaysian Chinese and African participants demonstrated a stronger global processing bias compared to both European- and Australian-Caucasian participants. Importantly, we found little or no cross-task correlation between any of the holistic processing measures and face recognition ability. Overall, our findings cast doubt on the prevailing account that the ORE in face recognition is due to reduced holistic processing in other-race faces. Further studies should adopt an interactionist approach taking into account cultural, motivational, and socio-cognitive factors.
    Matched MeSH terms: Facial Recognition/physiology*
  3. Kruszka P, Addissie YA, Tekendo-Ngongang C, Jones KL, Savage SK, Gupta N, et al.
    Am J Med Genet A, 2020 Feb;182(2):303-313.
    PMID: 31854143 DOI: 10.1002/ajmg.a.61461
    Turner syndrome (TS) is a common multiple congenital anomaly syndrome resulting from complete or partial absence of the second X chromosome. In this study, we explore the phenotype of TS in diverse populations using clinical examination and facial analysis technology. Clinical data from 78 individuals and images from 108 individuals with TS from 19 different countries were analyzed. Individuals were grouped into categories of African descent (African), Asian, Latin American, Caucasian (European descent), and Middle Eastern. The most common phenotype features across all population groups were short stature (86%), cubitus valgus (76%), and low posterior hairline 70%. Two facial analysis technology experiments were conducted: TS versus general population and TS versus Noonan syndrome. Across all ethnicities, facial analysis was accurate in diagnosing TS from frontal facial images as measured by the area under the curve (AUC). An AUC of 0.903 (p < .001) was found for TS versus general population controls and 0.925 (p < .001) for TS versus individuals with Noonan syndrome. In summary, we present consistent clinical findings from global populations with TS and additionally demonstrate that facial analysis technology can accurately distinguish TS from the general population and Noonan syndrome.
    Matched MeSH terms: Facial Recognition
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