In typically developing children aged 6–11, face recognition performance is predicted by eye movement consistency but not by eye movement pattern¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Children adopting eyes-focused versus nose-focused patterns did not differ in recognition performance, and the EN scale did not correlate with performance. → Hsiao 2022

Evidence¶

Hsiao 2022¶

Hsiao, J. H., An, J., Hui, V. K. S., Zheng, Y. & Chan, A. B. (2022). Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden Markov models. npj Science of Learning 7:28. https://doi.org/10.1038/s41539-022-00139-6

q3 · i? · associational · r2

Same study: ANCOVA with eye movement pattern (eyes- vs nose-focused, n = 37 and n = 50) and age as covariate found no performance difference; the EN scale–performance correlation was not significant.

"Participants adopting the two patterns did not differ in performance, F(1, 83) = 0.31, p = 0.58. There was no correlation between EN scale and performance with age controlled, r(83) = 0.12, p = 0.26"

Discussion¶

Related Claims¶

• In adults, face recognition performance is predicted by eye movement pattern, with eye movement consistency adding no additional variance — related
• Children with ASD show lower eye movement consistency than age- and IQ-matched typically developing children, with no difference in eye movement pattern — related
• In partially trained DNN+HMM models simulating children, eye movement consistency (lower entropy) predicts recognition accuracy but eye movement pattern does not — related
• Children's eye movement consistency is associated with selective attention and executive function, whereas eye movement pattern relates to working memory — related
• A less eyes-focused pattern and lower eye movement consistency jointly predict poorer recognition beyond age and cognitive abilities — reports the opposite
• A more eyes-focused scanning pattern and higher eye movement consistency are each correlated with better face recognition performance — reports the opposite
• In well-trained DNN+HMM face-recognition models, an eyes-focused eye movement pattern yields higher recognition accuracy than a nose-focused pattern — related