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The growing adoption of interactive learning tools in higher education offers new opportunities to enhance student performance and well-being. This study compares the effects of traditional and interactive learning methods on academic…

Human-Computer Interaction · Computer Science 2026-04-20 Siva Raja Sindiramutty

Patterns of brain activity are associated with different brain processes and can be used to identify different brain states and make behavioral predictions. However, the relevant features are not readily apparent and accessible. To mine…

Failure and resilience are important aspects of gameplay. This is especially important for serious and competitive games, where players need to adapt and cope with failure frequently. In such situations, emotion regulation -- the active…

Human-Computer Interaction · Computer Science 2023-02-21 Reza Habibi , Johannes Pfau , Jonattan Holmes , Magy Seif El-Nasr

In this paper we explore the use of electrical biosignals measured on scalp and corresponding to mental relaxation and concentration tasks in order to control an object in a video game. To evaluate the requirements of such a system in terms…

Other Computer Science · Computer Science 2011-11-23 Laurent George , Fabien Lotte , Raquel Viciana Abad , Anatole Lécuyer

In this paper we propose the CTS (Concious Tutoring System) technology, a biologically plausible cognitive agent based on human brain functions.This agent is capable of learning and remembering events and any related information such as…

Artificial Intelligence · Computer Science 2009-02-02 Usef Faghihi , Philippe Fournier-Viger , Roger Nkambou , Pierre Poirier , Andre Mayers

Automatic measurement of student engagement provides helpful information for instructors to meet learning program objectives and individualize program delivery. Students' behavioral and emotional states need to be analyzed at fine-grained…

Human-Computer Interaction · Computer Science 2023-01-18 Ali Abedi , Chinchu Thomas , Dinesh Babu Jayagopi , Shehroz S. Khan

Objective: Continuous EEG (cEEG) monitoring is associated with lower mortality in critically ill patients, however it is underutilized due to the difficulty of manually interpreting prolonged streams of cEEG data. Here we present a novel…

While there is evidence that user-adaptive support can greatly enhance the effectiveness of educational systems, designing such support for exploratory learning environments (e.g., simulations) is still challenging due to the open-ended…

Artificial Intelligence · Computer Science 2021-06-15 Sébastien Lallé , Cristina Conati

Mental fatigue is a leading cause of motor vehicle accidents, medical errors, loss of workplace productivity, and student disengagements in e-learning environment. Development of sensors and systems that can reliably track mental fatigue…

Human-Computer Interaction · Computer Science 2023-09-12 Prabin Sharma , Joanna C. Justus , Megha Thapa , Govinda R. Poudel

Active event perception, the ability to dynamically detect, track, and summarize events in real time, is essential for embodied intelligence in tasks such as human-AI collaboration, assistive robotics, and autonomous navigation. However,…

Robotics · Computer Science 2025-06-24 Zhou Chen , Sanjoy Kundu , Harsimran S. Baweja , Sathyanarayanan N. Aakur

Objective: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe long-term neurological consequences. Early detection typically requires continuous…

Impact of EEG biofeedback on event-related potentials (ERPs) in attention-deficit hyperactivity (ADHD) children. Introduction: ADHD is one of the most widely spread condition of school aged children affecting 5% of children of this age.The…

Neurons and Cognition · Quantitative Biology 2011-01-31 Sophio Bakhtadze , Marine Janelidze , Nana Khachapuridze

Learning-enabled controllers with stability certificate functions have demonstrated impressive empirical performance in addressing control problems in recent years. Nevertheless, directly deploying the neural controllers onto actual digital…

Optimization and Control · Mathematics 2025-07-22 Luan Yang , Jingdong Zhang , Qunxi Zhu , Wei Lin

Understanding of neuro-dynamics of a complex higher cognitive process, Working Memory (WM) is challenging. In WM, information processing occurs through four subsystems: phonological loop, visual sketch pad, memory buffer and central…

Signal Processing · Electrical Eng. & Systems 2020-03-13 Pankaj , Jamuna Rajeswaran , Divya Sadana

Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally associated with the brain's processing of specific cognitive tasks. ERP plays a…

Neural and Evolutionary Computing · Computer Science 2026-04-21 Yihe Wang , Zhiqiao Kang , Bohan Chen , Yu Zhang , Xiang Zhang

A robot needs contextual awareness, effective speech production and complementing non-verbal gestures for successful communication in society. In this paper, we present our end-to-end system that tries to enhance the effectiveness of…

Robotics · Computer Science 2024-10-01 Bishal Ghosh , Abhinav Dhall , Ekta Singla

With stereoscopic displays, a depth sensation that is too strong could impede visual comfort and result in fatigue or pain. Electroencephalography (EEG) is a technology which records brain activity. We used it to develop a novel…

Human-Computer Interaction · Computer Science 2015-05-29 Jérémy Frey , Aurélien Appriou , Fabien Lotte , Martin Hachet

In organizational and commercial settings, people often have clear roles and workflows against which functional and non-functional requirements can be extracted. However, in more social settings, such as platforms for enhancing social…

Software Engineering · Computer Science 2018-11-02 Mohammadhossein Sherkat , Antonette Mendoza , Tim Miller , Rachel Burrows

Background: Transcranial magnetic stimulation (TMS) is a powerful tool to investigate neurophysiology of the human brain and treat brain disorders. Traditionally, therapeutic TMS has been applied in a one-size-fits-all approach,…

Objective: Epileptic seizures are relatively common in critically-ill children admitted to the pediatric intensive care unit (PICU) and thus serve as an important target for identification and treatment. Most of these seizures have no…