Task engagement as personalization feedback for socially-assistive robots and cognitive training

K Tsiakas, M Abujelala, F Makedon - Technologies, 2018 - mdpi.com
Socially-Assistive Robotics (SAR) has been extensively used for a variety of applications,
including educational assistants, exercise coaches and training task instructors. The main …

Monitoring distraction of construction workers caused by noise using a wearable Electroencephalography (EEG) device

J Ke, M Zhang, X Luo, J Chen - Automation in Construction, 2021 - Elsevier
In the construction environment with high attention requirements, distraction is the main
cause of unsafe behavior and safety performance degradation. However, few studies have …

Predictive model to assess user trust: a psycho-physiological approach

IB Ajenaghughrure, SC Sousa, IJ Kosunen… - Proceedings of the 10th …, 2019 - dl.acm.org
Artificial intelligence (AI) systems are becoming pervasive in modern day society.
Nonetheless, AI is not infallible. Therefore as more task and controls get delegated to AI …

Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques

TA Aldhaheri, SB Kulkarni, PR Bhise… - Cogent Arts & …, 2024 - Taylor & Francis
Brain-computer interfaces (BCI) and neurolinguistics have become vital areas of scientific
inquiry, focusing on neural mechanisms in language acquisition. While studies have …

Designing task resumption cues for interruptions in mobile learning scenarios

C Schneegass, F Draxler - Technology-Augmented Perception and …, 2021 - Springer
Learning on a mobile device in everyday settings makes users particularly susceptible for
interruptions. Guidance (memory) cues can be implemented to support users in resuming a …

Automatic detection and interpretable analysis of learners' cognitive states based on electroencephalogram signals

Y Li, X He, P Wang, J Fang, Y Li, Y Li - Thinking Skills and Creativity, 2024 - Elsevier
The development of higher-order thinking skills (HOTS) in learners is one of the educational
objectives of the 21st century. Detecting learners' higher and lower cognitive states based …

Towards predicting task performance from EEG signals

M Papakostas, K Tsiakas… - … Conference on Big …, 2017 - ieeexplore.ieee.org
Smart wearable devices have lead to an increased need for processing and sharing large
streams of physiological data in real-time. Modern Human-Machine Interaction (HMI) …

Web page recommendation from sparse big web data

CK Leung, F Jiang, J Souza - 2018 IEEE/WIC/ACM International …, 2018 - ieeexplore.ieee.org
In many real-life web applications, web surfers would like to get recommendation on which
collections of web pages that would be interested to them or that they should follow. In order …

[图书][B] Functional Applications of Text Analytics Systems

S Simske, M Vans - 2022 - taylorfrancis.com
Text analytics consist of the statistics about a text element, which includes the word count,
the word histogram, and the word frequency histogram. Most text documents of value are …

Learner's cognitive state recognition based on multimodal physiological signal fusion

Y Li, Y Li, X He, J Fang, CY Zhou, C Liu - Applied Intelligence, 2025 - Springer
It is crucial to evaluate learning outcomes by identifying the cognitive state of the learner
during the learning process. Studies utilizing Electroencephalography (EEG) and other …