Motivation in the metaverse: A dual-process approach to consumer choices in a virtual reality supermarket
Introduction Consumer decision-making processes involve a complex interrelation between
perception, emotion, and cognition. Despite a vast and diverse literature, little effort has …
perception, emotion, and cognition. Despite a vast and diverse literature, little effort has …
[HTML][HTML] eeglib: A Python module for EEG feature extraction
Electroencephalography (EEG) signals analysis is non-trivial, thus tools for hel** in this
task are crucial. One typical step in many studies is feature extraction, however, there are not …
task are crucial. One typical step in many studies is feature extraction, however, there are not …
Electroencephalogram-based cognitive load level classification using wavelet decomposition and support vector machine
Cognitive load level identification is an interesting challenge in the field of brain-computer-
interface. The sole objective of this work is to classify different cognitive load levels from …
interface. The sole objective of this work is to classify different cognitive load levels from …
[HTML][HTML] A tale of two classes: Tourism students' cognitive loads and learning outcomes in face-to-face and online classes
L Hsu - Journal of Hospitality, Leisure, Sport & Tourism …, 2021 - Elsevier
The COVID-19 outbreak transformed tourism education into online education. However,
pertinent information about students' cognitive loads and learning outcomes in the new …
pertinent information about students' cognitive loads and learning outcomes in the new …
[HTML][HTML] Statistical valuation of cognitive load level hemodynamics from functional near-infrared spectroscopy signals
Human cognitive load level assessment is a challenging issue in the field of functional brain
imaging. This work aims to study different cognitive load levels statistically from brain …
imaging. This work aims to study different cognitive load levels statistically from brain …
Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
Through this paper, we introduce a novel driver cognitive load assessment dataset, CL-
Drive, which contains Electroencephalogram (EEG) signals along with other physiological …
Drive, which contains Electroencephalogram (EEG) signals along with other physiological …
Characterisation of mobile-device tasks by their associated cognitive load through EEG data processing
Interaction with mobile devices serves as a link to the cyber world and allows us to
characterise user behaviours. The deep analysis of the interactions with the smartphone …
characterise user behaviours. The deep analysis of the interactions with the smartphone …
Reliability of MUSE 2 and Tobii Pro Nano at capturing mobile application users' real-time cognitive workload changes
L Zhang, H Cui - Frontiers in Neuroscience, 2022 - frontiersin.org
Introduction Despite the importance of cognitive workload in examining the usability of
smartphone applications and the popularity of smartphone usage globally, cognitive …
smartphone applications and the popularity of smartphone usage globally, cognitive …
Cognitive load assessment of active back-support exoskeletons in construction: A case study on construction framing
Active back-support exoskeleton has emerged as a potential solution for mitigating work-
related musculoskeletal disorders within the construction industry. Nevertheless, research …
related musculoskeletal disorders within the construction industry. Nevertheless, research …
“Sound” decisions: the combined role of ambient noise and cognitive regulation on the neurophysiology of food cravings
Our ability to evaluate long-term goals over immediate rewards is manifested in the brain's
decision circuit. Simplistically, it can be divided into a fast, impulsive, reward “system 1” and …
decision circuit. Simplistically, it can be divided into a fast, impulsive, reward “system 1” and …