Ara
Toplam kayıt 4, listelenen: 1-4
Relationship between objective and subjective cognitive load measurements in multimedia learning
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2020)
The aim of this study is to compare subjective and objective cognitive load measurements in a multimedia learning environment. For this purpose, 20 university students studied in multimedia environments designed by researchers ...
Split-attention effects in multimedia learning environments: eye-tracking and EEG analysis
(SPRINGER, 2022)
This study aimed to evaluate the split-attention effect in multimedia learning environments via objective measurements as EEG and eye-tracking. Two different multimedia
learning environments in a focused (integrated) and ...
Transfer Learning for P300 Brain-Computer Interfaces by Joint Alignment of Feature Vectors
(IEEE, 2023)
This article presents a new transfer learning
method named group learning, that jointly aligns multiple domains (many-to-many) and an extension named fast
alignment that aligns any further domain to previously
aligned ...
Sliding Window and Filterbank Utilization on Riemannian Geometry
(Institute of Electrical and Electronics Engineers Inc., 2022)
Riemannian geometry-based signal processing
approaches on EEG signals provides similar decoding
performance compared to state-of-the-art methods. However,
Riemannian geometry framework requires predefine EEG
signal ...