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ERIC Number: EJ1471023
Record Type: Journal
Publication Date: 2025-Dec
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2056-7936
Available Date: 2025-05-12
Understanding the Role of Eye Movement Pattern and Consistency during Face Recognition through EEG Decoding
Guoyang Liu1,2; Yueyuan Zheng2,3; Michelle Hei Lam Tsang2; Zhao Yazhou2; Janet H. Hsiao2,3,4
npj Science of Learning, v10 Article 28 2025
Eye movement patterns and consistency during face recognition are both associated with recognition performance. We examined whether they reflect different mechanisms through EEG decoding. Eighty-four participants performed an old-new face recognition task with eye movement pattern and consistency quantified using eye movement analysis with hidden Markov models (EMHMM). Temporal dynamics of neural representation quality for face recognition were assessed through decoding old vs new faces using a support vector machine classifier. Results showed that a more eye-focused pattern was associated with higher decoding accuracy in the high-alpha band, reflecting better neural representation quality. In contrast, higher eye movement consistency was associated with shorter latency of peak decoding accuracy in the high-alpha band, which suggested more efficient neural representation development, in addition to higher ERP decoding accuracy. Thus, eye movement patterns are associated with neural representation effectiveness, whereas eye movement consistency reflects neural representation development efficiency, unraveling different aspects of cognitive processes.
Nature Portfolio. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://www.nature.com/npjscilearn/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Shandong University, School of Integrated Circuits, Jinan, China; 2University of Hong Kong, Department of Psychology, Hong Kong, China; 3Hong Kong University of Science & Technology, Division of Social Science, Hong Kong, China; 4Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong, China