Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

Self-confidence is a crucial trait that significantly influences performance across various life domains, leading to positive outcomes by enabling quick decision-making and prompt action. Estimating self-confidence in video-based learning is essential as it provides personalized feedback, thereby en...

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Bibliographic Details
Main Authors: Ankur Bhatt, Ko Watanabe, Jayasankar Santhosh, Andreas Dengel, Shoya Ishimaru
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Eye-tracking
learning augmentation
self-confidence estimation
Online Access:https://ieeexplore.ieee.org/document/10792912/

Internet

https://ieeexplore.ieee.org/document/10792912/

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