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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the facilitative effects of face motion on face recognition and its development
|
|---|---|
| Published in |
Frontiers in Psychology, June 2014
|
| DOI | 10.3389/fpsyg.2014.00633 |
| Pubmed ID | |
| Authors |
Naiqi G. Xiao, Steve Perrotta, Paul C. Quinn, Zhe Wang, Yu-Hao P. Sun, Kang Lee |
| Abstract |
For the past century, researchers have extensively studied human face processing and its development. These studies have advanced our understanding of not only face processing, but also visual processing in general. However, most of what we know about face processing was investigated using static face images as stimuli. Therefore, an important question arises: to what extent does our understanding of static face processing generalize to face processing in real-life contexts in which faces are mostly moving? The present article addresses this question by examining recent studies on moving face processing to uncover the influence of facial movements on face processing and its development. First, we describe evidence on the facilitative effects of facial movements on face recognition and two related theoretical hypotheses: the supplementary information hypothesis and the representation enhancement hypothesis. We then highlight several recent studies suggesting that facial movements optimize face processing by activating specific face processing strategies that accommodate to task requirements. Lastly, we review the influence of facial movements on the development of face processing in the first year of life. We focus on infants' sensitivity to facial movements and explore the facilitative effects of facial movements on infants' face recognition performance. We conclude by outlining several future directions to investigate moving face processing and emphasize the importance of including dynamic aspects of facial information to further understand face processing in real-life contexts. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| China | 1 | <1% |
| France | 1 | <1% |
| Unknown | 117 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 22% |
| Student > Master | 21 | 17% |
| Student > Bachelor | 14 | 11% |
| Researcher | 11 | 9% |
| Professor | 6 | 5% |
| Other | 21 | 17% |
| Unknown | 23 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 60 | 49% |
| Neuroscience | 7 | 6% |
| Computer Science | 7 | 6% |
| Agricultural and Biological Sciences | 4 | 3% |
| Arts and Humanities | 2 | 2% |
| Other | 9 | 7% |
| Unknown | 34 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from Frontiers in Psychology
#23,965
of 29,671 outputs
Outputs of similar age
#192,654
of 228,106 outputs
Outputs of similar age from Frontiers in Psychology
#360
of 389 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 228,106 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 389 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.