Literature DB >> 26822035

Exploring the motion advantage: evaluating the contribution of familiarity and differences in facial motion.

Natalie Butcher1, Karen Lander2.   

Abstract

Seeing a face move can improve familiar face recognition, face matching, and learning. More specifically, familiarity with a face may facilitate the learning of an individual's "dynamic facial signature". In the outlined research we examine the relationship between participant ratings of familiarity, the distinctiveness of motion, the amount of facial motion, and the recognition of familiar moving faces (Experiment 1) as well as the magnitude of the motion advantage (Experiment 2). Significant positive correlations were found between all factors. Findings suggest that faces rated as moving a lot and in a distinctive manner benefited the most from being seen in motion. Additionally findings indicate that facial motion information becomes a more important cue to recognition the more familiar a face is, suggesting that "dynamic facial signatures" continue to be learnt over time and integrated within the face representation. Results are discussed in relation to theoretical explanations of the moving face advantage.

Entities:  

Keywords:  Distinctiveness; Face identity; Facial motion; Familiarity; Recognition

Mesh:

Year:  2016        PMID: 26822035     DOI: 10.1080/17470218.2016.1138974

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN: 1747-0218            Impact factor:   2.143


  6 in total

1.  Dynamic Emotional Faces Generalise Better to a New Expression but not to a New View.

Authors:  Chang Hong Liu; Wenfeng Chen; James Ward; Nozomi Takahashi
Journal:  Sci Rep       Date:  2016-08-08       Impact factor: 4.379

Review 2.  Recognizing Genuine From Posed Facial Expressions: Exploring the Role of Dynamic Information and Face Familiarity.

Authors:  Karen Lander; Natalie L Butcher
Journal:  Front Psychol       Date:  2020-07-03

3.  The Frozen Effect: Objects in motion are more aesthetically appealing than objects frozen in time.

Authors:  Malerie G McDowell; Jason Haberman
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

4.  Eyewitness Identification: Live, Photo, and Video Lineups.

Authors:  Ryan J Fitzgerald; Heather L Price; Tim Valentine
Journal:  Psychol Public Policy Law       Date:  2018-08

5.  Face search in CCTV surveillance.

Authors:  Mila Mileva; A Mike Burton
Journal:  Cogn Res Princ Implic       Date:  2019-09-23

6.  Visual mechanisms for voice-identity recognition flexibly adjust to auditory noise level.

Authors:  Corrina Maguinness; Katharina von Kriegstein
Journal:  Hum Brain Mapp       Date:  2021-05-27       Impact factor: 5.038

  6 in total

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