2018
DOI: 10.1038/s41598-018-19971-1
|View full text |Cite
|
Sign up to set email alerts
|

Time Course of Cultural Differences in Spatial Frequency Use for Face Identification

Abstract: Several previous studies of eye movements have put forward that, during face recognition, Easterners spread their attention across a greater part of their visual field than Westerners. Recently, we found that culture's effect on the perception of faces reaches mechanisms deeper than eye movements, therefore affecting the very nature of information sampled by the visual system: that is, Westerners globally rely more than Easterners on fine-grained visual information (i.e. high spatial frequencies; SFs), whereas… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
15
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
7
1
1

Relationship

4
5

Authors

Journals

citations
Cited by 22 publications
(18 citation statements)
references
References 73 publications
2
15
0
Order By: Relevance
“…Until recently, visual perception was conceived-implicitly or explicitly-by most researchers as universal (see [50] for a similar argument) and encapsulated [51] from other higher-level processes. Since then, evidence has accumulated showing that visual perception in general, and visual extraction strategies in particular, are modulated both by external influences such as culture [50,[52][53][54][55], and by personal characteristics such as personality traits (e.g. [56]) and perceptual skills (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Until recently, visual perception was conceived-implicitly or explicitly-by most researchers as universal (see [50] for a similar argument) and encapsulated [51] from other higher-level processes. Since then, evidence has accumulated showing that visual perception in general, and visual extraction strategies in particular, are modulated both by external influences such as culture [50,[52][53][54][55], and by personal characteristics such as personality traits (e.g. [56]) and perceptual skills (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…A study by Tardif et al (2017) indeed found such differences in the spatial frequency tuning of East-Asians and Westerners, both when they identified faces and when they categorized them based on familiarity. Moreover, it was later shown that these differences emerge during the early stages of face processing, with East-Asians using lower spatial frequencies than Westerners as early as 30 ms after stimulus onset (Estéphan et al, 2018). This early time course implies that the differences observed are not related to late decisional processes, such as social norms dictating where to look in a face, but instead tap into early automatic processes.…”
Section: Face Perception Is Not Universalmentioning
confidence: 97%
“…Low SFs ranging between 5.6 and 8.3 cpf were significantly more useful in the Dynamic condition and mid-to-high SFs ranging between 17.6 and 85.3 cpf were significantly more useful in the Static condition. Note that the presence of extremely high SFs (i.e., >25 cpf) in the significant clusters is most likely due to the logarithmic SF sampling mentioned in the Materials and Methods; this impacts the resolution of the high SFs, as we have previously demonstrated in a previous study (see supplementary material in Estéphan et al, 2018).…”
Section: Analysis Of Experiments 1 and 2 Combinedmentioning
confidence: 68%
“…Because the method relies on random sampling of visual information, a high number of trials are required to obtain a reasonable signal-to-noise ratio. Studies using SF Bubbles have typically relied on a high total number of trials (i.e., across participants) ranging between 10,800 (Tadros et al, 2013) and 34,500 trials (Estéphan et al, 2018) per condition (see also Tardif et al, 2017, 33,000 trials and Royer et al, 2017, 19,200 trials). The present experiment contained a total of 39,200 trials per condition thus having enough trials to obtain very stable SF tuning for each condition.…”
Section: Methodsmentioning
confidence: 99%