Higher eye movement consistency is associated with higher ERP decoding accuracy and faster face recognition responses¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2 · i3 large
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? ERP decoding TOI-AUC was negatively correlated with eye movement overall entropy and with face recognition response time. → Guoyang Liu 2025 q2 i3 Eye movement consistency showed a strong positive correlation with face recognition reaction time (r(84) = 0.59, p < 0.001), indicating more consistent eye movements accompanied faster recognition. → Guoyang Liu 2025 (2)

Evidence¶

Guoyang Liu 2025¶

Guoyang Liu, Yueyuan Zheng, Michelle Hei Lam Tsang, Yazhou Zhao & Janet H. Hsiao. (2025). Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding. npj Science of Learning. https://doi.org/10.1038/s41539-025-00316-3

q2 · i? · associational · r2

Individual-level correlation analysis (Table 1, ERP band): ERP decoding TOI-AUC correlated −0.274 with overall entropy (p < 0.05) and −0.52 with face recognition RT (p < 0.001), so higher ERP decoding accuracy accompanied "more consistent eye movements during face recognition".

"the TOI-AUC was negatively correlated with face recognition response time (RT) and eye movement overall entropy (i.e., positively correlated with eye movement consistency)."

Guoyang Liu 2025 (2)¶

Guoyang Liu, Yueyuan Zheng, Michelle Hei Lam Tsang, Yazhou Zhao & Janet H. Hsiao. (2025). Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding. npj Science of Learning. https://doi.org/10.1038/s41539-025-00316-3

q2 · i3 · associational · r2

Correlational finding from the same 84-participant study: "a more consistent eye movement pattern was associated with reduced face recognition time", with printed effect size r = 0.59 (p < 0.001). The correlation is with entropy, so lower entropy (higher consistency) goes with shorter RT.

"we found a strong positive correlation between eye movement consistency and reaction time of face recognition (r(84) = 0.59, p < 0.001), indicating that a more consistent eye movement pattern was associated with reduced face recognition time."

Discussion¶

Related Claims¶

• A more eye-focused eye movement pattern is associated with higher EEG decoding accuracy for old vs new faces in the high-alpha band — related
• A more eyes-focused scanning pattern and higher eye movement consistency are each correlated with better face recognition performance — related
• Decoding results are not confounded by oculomotor artifacts: raw eye movement, fixation, and EOG data fail to decode old vs new faces — related
• ERP and alpha-band EEG signals decode old vs new faces above chance, with the high-alpha band more discriminative than the low-alpha band — related
• Higher eye movement consistency is associated with shorter peak latency of high-alpha decoding accuracy, reflecting more efficient neural representation development — related