Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s10618-023-00989-7.pdf
Reference110 articles.
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4. Barkley-Levenson E, Galvan A (2017) Eye blink rate predicts reward decisions in adolescents. Dev Sci 20(3):e12412
5. Bednarik R, Vrzakova H, Hradis M (2012) What do you want to do next: a novel approach for intent prediction in gaze-based interaction. In: Proceedings of the symposium on eye tracking research and applications, pp 83–90
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