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User engagement, cognitive participation, and motivation during task execution in physical human-robot interaction are crucial for motor learning. These factors are especially important in contexts like robotic rehabilitation, where…

Human-Computer Interaction · Computer Science 2024-11-28 Suzanne Oliver , Tomoko Kitago , Adam Buchwald , S. Farokh Atashzar

Engagement, which links to attentional, emotional, and cognitive dimensions, plays an important role in learning. In online and video-based learning environments, learners often need to regulate their own interactions with instructional…

Human-Computer Interaction · Computer Science 2026-05-05 Zikang Leng , Edan Eyal , Yingtian Shi , Jiaman He , Yaqi Liu , Thomas Plötz

Deficit of attention, anxiety, sleep disorders are some of the problems which affect many persons. As these issues can evolve into severe conditions, more factors should be taken into consideration. The paper proposes a conception which…

The process of teaching has been greatly changed by the COVID-19 pandemic. It is possible that studying will not resemble anymore the process known by the previous generations of students. As the current generations learn by doing and use…

Computers and Society · Computer Science 2021-12-03 Iuliana Marin

We performed simultaneous recordings of electroencephalography (EEG) from multiple students in a classroom, and measured the inter-subject correlation (ISC) of activity evoked by a common video stimulus. The neural reliability, as…

Neurons and Cognition · Quantitative Biology 2016-12-30 Andreas Trier Poulsen , Simon Kamronn , Jacek Dmochowski , Lucas C. Parra , Lars Kai Hansen

Although cognitive engagement (CE) is crucial for motor learning, it remains underutilized in rehabilitation robots, partly because its assessment currently relies on subjective and gross measurements taken intermittently. Here, we propose…

Robotics · Computer Science 2020-02-20 Neelesh Kumar , Konstantinos P. Michmizos

With the increase of distance learning, in general, and e-learning, in particular, having a system capable of determining the engagement of students is of primordial importance, and one of the biggest challenges, both for teachers,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Prabin Sharma , Shubham Joshi , Subash Gautam , Sneha Maharjan , Salik Ram Khanal , Manuel Cabral Reis , João Barroso , Vítor Manuel de Jesus Filipe

Engagement is a vital metric in the advertising industry and its automatic estimation has huge commercial implications. This work presents a basic and simple framework for engagement estimation using EEG (electroencephalography) data…

Human-Computer Interaction · Computer Science 2018-12-11 Sangeetha Balasubramanian , Shruti Shriya Gullapuram , Abhinav Shukla

Student engagement plays a vital role in academic success with high engagement often linked to positive educational outcomes. Traditionally, student engagement is measured through self-reports, which are both labour-intensive and not…

Human-Computer Interaction · Computer Science 2024-07-22 Soundariya Ananthan , Nan Gao , Flora D. Salim

The degree of concentration, enthusiasm, optimism, and passion displayed by individual(s) while interacting with a machine is referred to as `user engagement'. Engagement comprises of behavioral, cognitive, and affect related cues. To…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Monisha Singh , Ximi Hoque , Donghuo Zeng , Yanan Wang , Kazushi Ikeda , Abhinav Dhall

In this study, we illustrate the progress of BCI research and present scores of unveiled contemporary approaches. First, we explore a decoding natural speech approach that is designed to decode human speech directly from the human brain…

Signal Processing · Electrical Eng. & Systems 2022-07-15 Md Jobair Hossain Faruk , Maria Valero , Hossain Shahriar

Emotion regulation plays a key role in human behavior and overall well-being. Neurofeedback is a non-invasive self-brain training technique used for emotion regulation to enhance brain function and treatment of mental disorders through…

Neurons and Cognition · Quantitative Biology 2023-11-06 Amin Dehghani , Hamid Soltanian-Zadeh , Gholam-Ali Hossein-Zadeh

With the rapid growth of the internet, all online activities can have both positive and negative effects on human mental health. Online engagement is complex and efforts to regulate online use face challenges in distinguishing between…

Human-Computer Interaction · Computer Science 2026-02-19 Ruiyong Zhang

Generative AI is transforming education by enabling personalized, on-demand learning experiences. However, current AI systems lack awareness of the learner's cognitive state, limiting their adaptability. Meanwhile, electroencephalography…

Human-Computer Interaction · Computer Science 2026-02-18 Dünya Baradari , Nataliya Kosmyna , Oscar Petrov , Rebecah Kaplun , Pattie Maes

Context. Computer workers in general, and software developers specifically, are under a high amount of stress due to continuous deadlines and, often, over-commitment. Objective. This study investigates the effects of a neuroplasticity…

Software Engineering · Computer Science 2022-03-07 Birgit Penzenstadler , Richard Torkar , Cristina Martinez Montes

This document provides some basic guidance to start working with the EPOC Emotiv neuroheadset device and describes how to use it to perform basic Brain-Computer Interface (BCI) research. A brief tutorial on how to set up the device, from…

Signal Processing · Electrical Eng. & Systems 2022-10-13 Rodrigo Ramele , Ana Julia Villar , Juan Miguel Santos

Neurofeedback training (NFT) aims to teach self-regulation of brain activity through real-time feedback, but suffers from highly variable outcomes and poorly understood mechanisms, hampering its validation. To address these issues, we…

Neurons and Cognition · Quantitative Biology 2025-05-07 Côme Annicchiarico , Fabien Lotte , Jérémie Mattout

Neurofeedback is a non-invasive brain training with long-term medical and non-medical applications. Despite the existence of several emotion regulation studies using neurofeedback, further investigation is needed to understand interactions…

Neurons and Cognition · Quantitative Biology 2020-06-19 Amin Dehghani , Hamid Soltanian-Zadeh , Gholam-Ali Hossein-Zadeh

This study investigates the effect of haptic control strategies on a subject's mental engagement during a fine motor handwriting rehabilitation task. The considered control strategies include an error-reduction (ER) and an…

Human-Computer Interaction · Computer Science 2023-03-20 Hemanth Manjunatha , Shrey Pareek , Amirhossein H. Memar , Thenkurussi Kesavadas , Ehsan T. Esfahani

In this paper, we introduce a new dataset for student engagement detection and localization. Digital revolution has transformed the traditional teaching procedure and a result analysis of the student engagement in an e-learning environment…

Computer Vision and Pattern Recognition · Computer Science 2018-06-28 Amanjot Kaur , Aamir Mustafa , Love Mehta , Abhinav Dhall
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