From face processing to face recognition: Comparing three different processing levels.
Saved in:
| Title: | From face processing to face recognition: Comparing three different processing levels. |
|---|---|
| Authors: | Besson, G.1,2,3 gabriel.besson@ulg.ac.be, Barragan-Jason, G.1,2 gladou86@gmail.com, Thorpe, S.J.1,2 simon.thorpe@cerco.ups-tlse.fr, Fabre-Thorpe, M.1,2 michele.fabre-thorpe@cerco.ups-tlse.fr, Puma, S.1,2 sebastien.puma@univ-tlse2.fr, Ceccaldi, M.3,4 mathieu-pierre.ceccaldi@ap-hm.fr, Barbeau, E.J.1,2 emmanuel.barbeau@cerco.ups-tlse.fr |
| Source: | Cognition. Jan2017, Vol. 158, p33-43. 11p. |
| Subject Terms: | *Reasoning, Face perception, Paradigms (Social sciences), Hypothesis, Paradigm (Theory of knowledge), Reaction time, Recognition (Psychology), Time |
| Abstract: | Verifying that a face is from a target person (e.g. finding someone in the crowd) is a critical ability of the human face processing system. Yet how fast this can be performed is unknown. The 'entry-level shift due to expertise' hypothesis suggests that - since humans are face experts - processing faces should be as fast - or even faster - at the individual than at superordinate levels. In contrast, the 'superordinate advantage' hypothesis suggests that faces are processed from coarse to fine, so that the opposite pattern should be observed. To clarify this debate, three different face processing levels were compared: (1) a superordinate face categorization level (i.e. detecting human faces among animal faces), (2) a face familiarity level (i.e. recognizing famous faces among unfamiliar ones) and (3) verifying that a face is from a target person, our condition of interest. The minimal speed at which faces can be categorized (∼260ms) or recognized as familiar (∼360ms) has largely been documented in previous studies, and thus provides boundaries to compare our condition of interest to. Twenty-seven participants were included. The recent Speed and Accuracy Boosting procedure paradigm (SAB) was used since it constrains participants to use their fastest strategy. Stimuli were presented either upright or inverted. Results revealed that verifying that a face is from a target person (minimal RT at ∼260ms) was remarkably fast but longer than the face categorization level (∼240ms) and was more sensitive to face inversion. In contrast, it was much faster than recognizing a face as familiar (∼380ms), a level severely affected by face inversion. Face recognition corresponding to finding a specific person in a crowd thus appears achievable in only a quarter of a second. In favor of the 'superordinate advantage' hypothesis or coarse-to-fine account of the face visual hierarchy, these results suggest a graded engagement of the face processing system across processing levels as reflected by the face inversion effects. Furthermore, they underline how verifying that a face is from a target person and detecting a face as familiar - both often referred to as "Face Recognition" - in fact differs. [ABSTRACT FROM AUTHOR] |
| Copyright of Cognition is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 119581990 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: From face processing to face recognition: Comparing three different processing levels. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Besson%2C+G%2E%22">Besson, G.</searchLink><relatesTo>1,2,3</relatesTo><i> gabriel.besson@ulg.ac.be</i><br /><searchLink fieldCode="AR" term="%22Barragan-Jason%2C+G%2E%22">Barragan-Jason, G.</searchLink><relatesTo>1,2</relatesTo><i> gladou86@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Thorpe%2C+S%2EJ%2E%22">Thorpe, S.J.</searchLink><relatesTo>1,2</relatesTo><i> simon.thorpe@cerco.ups-tlse.fr</i><br /><searchLink fieldCode="AR" term="%22Fabre-Thorpe%2C+M%2E%22">Fabre-Thorpe, M.</searchLink><relatesTo>1,2</relatesTo><i> michele.fabre-thorpe@cerco.ups-tlse.fr</i><br /><searchLink fieldCode="AR" term="%22Puma%2C+S%2E%22">Puma, S.</searchLink><relatesTo>1,2</relatesTo><i> sebastien.puma@univ-tlse2.fr</i><br /><searchLink fieldCode="AR" term="%22Ceccaldi%2C+M%2E%22">Ceccaldi, M.</searchLink><relatesTo>3,4</relatesTo><i> mathieu-pierre.ceccaldi@ap-hm.fr</i><br /><searchLink fieldCode="AR" term="%22Barbeau%2C+E%2EJ%2E%22">Barbeau, E.J.</searchLink><relatesTo>1,2</relatesTo><i> emmanuel.barbeau@cerco.ups-tlse.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cognition%22">Cognition</searchLink>. Jan2017, Vol. 158, p33-43. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Reasoning%22">Reasoning</searchLink><br /><searchLink fieldCode="DE" term="%22Face+perception%22">Face perception</searchLink><br /><searchLink fieldCode="DE" term="%22Paradigms+%28Social+sciences%29%22">Paradigms (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Hypothesis%22">Hypothesis</searchLink><br /><searchLink fieldCode="DE" term="%22Paradigm+%28Theory+of+knowledge%29%22">Paradigm (Theory of knowledge)</searchLink><br /><searchLink fieldCode="DE" term="%22Reaction+time%22">Reaction time</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Verifying that a face is from a target person (e.g. finding someone in the crowd) is a critical ability of the human face processing system. Yet how fast this can be performed is unknown. The 'entry-level shift due to expertise' hypothesis suggests that - since humans are face experts - processing faces should be as fast - or even faster - at the individual than at superordinate levels. In contrast, the 'superordinate advantage' hypothesis suggests that faces are processed from coarse to fine, so that the opposite pattern should be observed. To clarify this debate, three different face processing levels were compared: (1) a superordinate face categorization level (i.e. detecting human faces among animal faces), (2) a face familiarity level (i.e. recognizing famous faces among unfamiliar ones) and (3) verifying that a face is from a target person, our condition of interest. The minimal speed at which faces can be categorized (∼260ms) or recognized as familiar (∼360ms) has largely been documented in previous studies, and thus provides boundaries to compare our condition of interest to. Twenty-seven participants were included. The recent Speed and Accuracy Boosting procedure paradigm (SAB) was used since it constrains participants to use their fastest strategy. Stimuli were presented either upright or inverted. Results revealed that verifying that a face is from a target person (minimal RT at ∼260ms) was remarkably fast but longer than the face categorization level (∼240ms) and was more sensitive to face inversion. In contrast, it was much faster than recognizing a face as familiar (∼380ms), a level severely affected by face inversion. Face recognition corresponding to finding a specific person in a crowd thus appears achievable in only a quarter of a second. In favor of the 'superordinate advantage' hypothesis or coarse-to-fine account of the face visual hierarchy, these results suggest a graded engagement of the face processing system across processing levels as reflected by the face inversion effects. Furthermore, they underline how verifying that a face is from a target person and detecting a face as familiar - both often referred to as "Face Recognition" - in fact differs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Cognition is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=119581990 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cognition.2016.10.004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 33 Subjects: – SubjectFull: Reasoning Type: general – SubjectFull: Face perception Type: general – SubjectFull: Paradigms (Social sciences) Type: general – SubjectFull: Hypothesis Type: general – SubjectFull: Paradigm (Theory of knowledge) Type: general – SubjectFull: Reaction time Type: general – SubjectFull: Recognition (Psychology) Type: general – SubjectFull: Time Type: general Titles: – TitleFull: From face processing to face recognition: Comparing three different processing levels. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Besson, G. – PersonEntity: Name: NameFull: Barragan-Jason, G. – PersonEntity: Name: NameFull: Thorpe, S.J. – PersonEntity: Name: NameFull: Fabre-Thorpe, M. – PersonEntity: Name: NameFull: Puma, S. – PersonEntity: Name: NameFull: Ceccaldi, M. – PersonEntity: Name: NameFull: Barbeau, E.J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 00100277 Numbering: – Type: volume Value: 158 Titles: – TitleFull: Cognition Type: main |
| ResultId | 1 |