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Record W2567964044 · doi:10.1167/16.12.921

Older adult faces in the young adults' eyes: attention towards identity cues eliminates the recognition advantage for young adult faces

2016· article· en· W2567964044 on OpenAlexaff
Valentina Proietti, Sarah Laurence, Catherine J. Mondloch

Bibliographic record

VenueJournal of Vision · 2016
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychologyYoung adultIdentity (music)MemorizationTask (project management)PerceptionMatching (statistics)Developmental psychologyCognitive psychologyAudiologyMedicine

Abstract

fetched live from OpenAlex

Young adults typically recognize young adult faces more accurately than older adult faces (own-age bias [OAB]). However, most research on this topic has measured recognition memory for controlled images of different identities and participants typically are instructed to memorize faces during a study phase. We investigate the OAB for images incorporating within-person variability in appearance and examined whether making same/different judgements (i.e., focusing on identity cues) about face pairs during the study phase reduces the OAB. Young adults (n=24/group) completed an old/new recognition task after viewing a series of old and young faces. During the study phase, one group completed a perceptual matching task in which participants were required to decide whether two different pictures of older/young adult faces belonged to the same person or two different people. Participants in the control group viewed the same faces during the study phase but faces were presented sequentially and participants were instructed to remember them. In the identity matching task, there was no overall advantage for young faces. However, accuracy was higher for old compared to young faces on same trials (p=.031), but for young compared to older faces on different trials (p=.021). In the recognition task, participants in the control condition demonstrated the typical OAB (better memory for young relative to older faces [p=.042]); in contrast, the OAB was absent for participants who first completed the matching task (p=.491). The absence of the OAB in the identity-matching condition is attributable to identity matching improving performance for older (p=.002), but not young faces (p=.60), relative to the control condition. Collectively, these results suggest that the OAB is attributable to a failure to attend to identity cues in older faces rather than an inability to encode and store older adult faces. Meeting abstract presented at VSS 2016

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.334
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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