Investigating the other-race effect in working memory
Bibliographic Data
| ID | 5269529 |
|---|---|
| Authors | Marleen Stelter (0000-0001-6546-0946, Institute of Psychology Universität Hamburg Germany), 俊雄 根本 (corresponding author), Juliane Degner (0000-0002-6634-8099, Institute of Psychology Universität Hamburg Germany) |
| Year | 2018 |
| Volume | 109 |
| Issue | 4 |
| Pages | 777-798 |
| Publication date | 2018-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Journal of Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0007-1269 • E-ISSN: 2044-8295 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/bjop.12304 |
| OpenAlex | W29667704 |
| Language | EN |
| Citations received | 6 |
| References cited | 79 |
People have difficulties in remembering other-race faces; this so-called other-race effect (ORE) has been frequently observed in long-term recognition memory (LTM). Several theories argue that the ORE in LTM is caused by differences in earlier processing stages, such as encoding of ingroup and outgroup faces. We test this hypothesis by exploring whether the ORE can already be observed in visual working memory (VWM)-an intermediate system located between encoding processes and LTM storage. In four independent experiments, we observed decreased performance for outgroup faces compared to ingroup faces using three different VWM tasks: an adaptive N-back task, a self-ordered pointing task, and a change detection task. Also, we found that the number of items stored in VWM is smaller for outgroup faces than for ingroup faces. Further, we explored whether performance differences in the change detection task are related to the classic ORE in recognition memory. Our results provide further evidence that the ORE originates during earlier stages of cognitive processing. We discuss that (how) future ORE research may benefit from considering theories and evidence from the VWM literature
Computer Science · Face Recognition and Perception · Memory Processes and Influences
Does Cross-Race Contact Improve Cross-Race Face Perception? A Meta-Analysis of the Cross-Race Deficit and Contact
Own‐Race Advantage in Visual Working Memory for Faces Reflects Enhanced Storage Capacity and Quick Encoding 1
Socio‐cognitive, expertise‐based and appearance‐based accounts of the other‐‘race’ effect in face perception
Social Categorization Based on Language and Facial Recognition
Real-life outgroup exposure, self-reported outgroup contact and the other-race effect
On the role of experience versus motivation in predicting the own-race effect
The categorization-individuation model
Orienting Attention to Locations in Internal Representations
Dynamic Shifts of Limited Working Memory Resources in Human Vision
The magical number 4 in short-term memory
Variability in photos of the same face
Discrete fixed-resolution representations in visual working memory
A lifespan database of adult facial stimuli
A holistic account of the own-race effect in face recognition
On the capacity of attention
The concurrent validity of the N -back task as a working memory measure
Long-term working memory.
Presentation and validation of the Radboud Faces Database
A Unified Account of the Effects of Distinctiveness, Inversion, and Race in Face Recognition
Race as a visual feature
An Embedded-Processes Model of Working Memory
Pragmatics of measuring recognition memory
What is working memory capacity, and how can we measure it?
Age differences in short-term retention of rapidly changing information.
Moving faces, looking places
Thirty years of investigating the own-race bias in memory for faces
Will you remember me? Cultural differences in own-group face recognition biases
Categorization and individuation in the cross-race recognition deficit
An eye for the I
Measuring individual differences in implicit cognition
Race and gender on the brain
Recognizing faces of other ethnic groups
The flip side of the other-race coin
Understanding face recognition
Contact, configural coding and the other-race effect in face recognition
| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2023 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 6 |