Evidence map›Paper›PMID 37349624›Full record

ArticleAttention, perception & psychophysics2023

Faces do not guide attention in an object-based facilitation manner.

Tong Xie, Shimin Fu, Giovanni Mento

Open access · hybridAbstract read
In one paragraph

Article in Attention, perception & psychophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Tong XieDepartment of General Psychology, University of Padova, Via Venezia, 8, 35131, Padova, Italy. tong.xie@studenti.unipd.it.ORCID http://orcid.org/0000-0002-8511-4589
Shimin FuDepartment of Psychology and Center for Brain and Cognitive Sciences, School of Education, Guangzhou University, Guangzhou, 510006, China. fusm@gzhu.edu.cn.
Giovanni MentoDepartment of General Psychology, University of Padova, Via Venezia, 8, 35131, Padova, Italy.
University of Padua · ITGuangzhou University · CN

Funding

National Natural Science Foundation of China 32271107
6 · The paper itself

Abstract

Numerous studies on face processing have revealed their special ability to affect attention, but relatively little research has been done on how faces guide spatial attention allocation. To enrich this field, this study resorted to the object-based attention (OBA) effect in a modified double-rectangle paradigm where the rectangles were replaced with human faces and mosaic patterns (non-face objects). Experiment 1 replicated the typical OBA effect in the non-face objects, but this effect was absent in Asian and Caucasian faces. Experiment 2 removed the eye region from Asian faces, but still found no object-based facilitation in the faces without eyes. In Experiment 3, the OBA effect was also observed for faces when the faces disappear a short period before the responses. Overall, these results revealed that when two faces are presented together, they do not exert object-based facilitation regardless of their facial features such as race and the presence of eyes. We argue that the lack of a typical OBA effect is due to the filtering cost induced by the entire face content. This cost slows down the response when attention shifts within a face and results in the absence of object-based facilitation.

Indexed as

AttentionFacial RecognitionAsianHumansPattern Recognition, VisualWhite PeopleDouble-rectangle paradigmFaceFiltering costObject-based attention

Identifiers

PMID37349624
PMCPMC10545631
OpenAlexW4381716403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.