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Record W4402927383 · doi:10.1016/j.rasd.2024.102485

The impact of face masks on autistic and non-autistic adults’ face processing abilities

2024· article· en· W4402927383 on OpenAlexaboutno aff
Natasha Baxter, Lucy Harlow, Ebony Harrison, Caitlin Smith, Hannah Hobson

Bibliographic record

VenueResearch in autism spectrum disorders · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyAutismFace (sociological concept)Developmental psychologyFace-to-faceFace masksCognitive psychologyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Atypical emotion recognition is argued to be characteristic of autism spectrum conditions (ASC), underpinned in part by atypical eye gaze, with less eye contact and more gaze direction towards the mouth. Given the widespread adoption of face masks due to the Covid-19 pandemic, exploring the effect of face masks on face processing in autism, as they occlude the mouth region, is of interest. This study investigated the impact of face masks on emotion and identity recognition, with a non-autistic ( N = 50) and autistic ( N = 27) sample. Participants also completed the Toronto Alexithymia Scale, and the abridged Autism Quotient, to investigate the roles of alexithymia and autistic traits in any impacts of face masks on face processing abilities. Masks were detrimental to performance for both autistic and non-autistic groups, and masks affected participants’ performance on the emotion recognition task more than the identity recognition task. Autistic participants’ performance was more negatively affected by the presence of masks, affecting emotion recognition precision in particular. The impact of face masks was not predicted by alexithymia or autistic traits, after gender and age were taken into account. Overall, the results suggest that masks negatively affect face processing for both non-autistic and autistic groups, particularly emotion recognition, however the impact of masks is amplified for autistic people. These results supplement autistic people’s reports that masks interfere with social interactions. • Previous research suggests autistic people show atypical eye gaze patterns to others’ eyes and mouths. • Facemasks occlude the mouth region, and could disproportionately affect autistic people’s face processing abilities. • We examined face processing abilities when stimuli did and did not have masks, with autistic and non-autistic adults. • Both groups were negatively impacted by masks, and emotion recognition was more affected than identity recognition. • Autistic participants were more negatively affected by masks than non-autistic people, especially with regards to emotion recognition precision. Alexithymia and autistic traits did not predict the impact of masks.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.003
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.381
Teacher spread0.340 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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