Children's eye movement consistency is associated with selective attention and executive function, whereas eye movement pattern relates to working memory¶

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? Stepwise hierarchical regression showed entropy was best predicted by flanker effect in correct RT and Tower of London performance, while EN scale was best predicted by verbal one-back D'. → 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

Study one's stepwise hierarchical regression with age entered first: "eye movement entropy was best predicted by flanker effect in correct RT" (β = −0.29) and TOL % completed (β = 0.25); EN scale was best predicted by verbal one-back D' (R2 = 0.075).

"eye movement entropy was best predicted by flanker effect in correct RT, β = −0.29, t = −2.67, p = 0.009, and Tower of London (TOL) % of completed trials, β = 0.25, t = 2.36, p = 0.021"

Discussion¶

Related Claims¶

• Children with ASD show lower eye movement consistency than age- and IQ-matched typically developing children, with no difference in eye movement pattern — related
• Lower eye movement consistency (higher C3 entropy) is associated with poorer selective attention and inhibitory control — a narrower finding that bears on this claim
• In typically developing children aged 6–11, face recognition performance is predicted by eye movement consistency but not by eye movement pattern — related
• In children, lower eye movement consistency correlates with autistic traits specifically in social skills — related
• A less eyes-focused pattern and lower eye movement consistency jointly predict poorer recognition beyond age and cognitive abilities — a narrower finding that bears on this claim
• In adults, face recognition performance is predicted by eye movement pattern, with eye movement consistency adding no additional variance — related
• In partially trained DNN+HMM models simulating children, eye movement consistency (lower entropy) predicts recognition accuracy but eye movement pattern does not — related