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Adaptive Virtual Reality (VR) systems have the potential to enhance training and learning experiences by dynamically responding to users' cognitive states. This research investigates how eye tracking and heart rate variability (HRV) can be…

Human-Computer Interaction · Computer Science 2025-04-10 Mahsa Nasri

With the growing need to effectively support workforce upskilling in the manufacturing sector, virtual reality is gaining popularity as a scalable training solution. However, most current systems are designed as static, step-by-step…

Human-Computer Interaction · Computer Science 2025-10-08 Bhavya Matam , Adamay Mann , Kachina Studer , Christian Gabbianelli , Sonia Castelo , John Liu , Claudio Silva , Dishita Turakhia

This project proposes an attention-aware LLM that integrates EEG and eye tracking to monitor and measure user attention dynamically. To realize this, the project will integrate real-time EEG and eye-tracking data into an LLM-based…

Human-Computer Interaction · Computer Science 2025-11-11 Dan Zhang

Virtual Reality (VR) has been a beneficial training tool in fields such as advanced manufacturing. However, users may experience a high cognitive load due to various factors, such as the use of VR hardware or tasks within the VR…

Human-Computer Interaction · Computer Science 2024-11-21 Mahsa Nasri , Mehmet Kosa , Leanne Chukoskie , Mohsen Moghaddam , Casper Harteveld

In this research, we are concerned with the applicability of virtual reality-based attention training as a tool for stress management. Mental stress is a worldwide challenge that is still far from being fully managed. This has maintained a…

Signal Processing · Electrical Eng. & Systems 2023-12-12 Rojaina Mahmoud , Mona Mamdouh , Omneya Attallah , Ahmad Al-Kabbany

Cognitive training has shown promising results for delivering improvements in human cognition related to attention, problem solving, reading comprehension and information retrieval. However, two frequently cited problems in cognitive…

Human-Computer Interaction · Computer Science 2020-09-01 Lorcan Reidy , Dennis Chan , Charles Nduka , Hatice Gunes

Objective: The study examined the effects of varying all three core elements of cognitive load on learning efficiency during a shape assembly task in virtual reality (VR). Background: Adaptive training systems aim to improve learning…

As automation and mobile robotics reshape work environments, rising expectations for productivity increase cognitive demands on human operators, leading to potential stress and cognitive overload. Accurately assessing an operator's mental…

Robotics · Computer Science 2025-04-10 Till Aust , Julian Kaduk , Heiko Hamann

Template-matching methods for visual tracking have gained popularity recently due to their good performance and fast speed. However, they lack effective ways to adapt to changes in the target object's appearance, making their tracking…

Computer Vision and Pattern Recognition · Computer Science 2019-12-02 Tianyu Yang , Antoni B. Chan

Template-matching methods for visual tracking have gained popularity recently due to their comparable performance and fast speed. However, they lack effective ways to adapt to changes in the target object's appearance, making their tracking…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Tianyu Yang , Antoni B. Chan

Cognitive control, the ability of a system to adapt to the demands of a task, is an integral part of cognition. A widely accepted fact about cognitive control is that it is context-sensitive: Adults and children alike infer information…

Artificial Intelligence · Computer Science 2020-12-02 Rachit Dubey , Erin Grant , Michael Luo , Karthik Narasimhan , Thomas Griffiths

Real-time adjustments to task difficulty during flight training are crucial for optimizing performance and managing pilot workload. This study evaluated the functionality of a pre-trained brain-computer interface (BCI) that adapts training…

Human-Computer Interaction · Computer Science 2026-05-08 Evy van Weelden , Jos M. Prinsen , Caterina Ceccato , Ethel Pruss , Anita Vrins , Maryam Alimardani , Travis J. Wiltshire , Max M. Louwerse

Supervisors in military command and control (C2) environments face dynamic conditions. Dynamically changing information continuously flows to the supervisors through multiple displays. In this environment, important pieces of information…

Emerging Technologies · Computer Science 2026-01-27 Hyun-Gee Jei , Mustafa Demir , Farzan Sasangohar

We study active object tracking, where a tracker takes visual observations (i.e., frame sequences) as input and produces the corresponding camera control signals as output (e.g., move forward, turn left, etc.). Conventional methods tackle…

Computer Vision and Pattern Recognition · Computer Science 2019-02-14 Wenhan Luo , Peng Sun , Fangwei Zhong , Wei Liu , Tong Zhang , Yizhou Wang

Simulations are a pedagogical means of enabling a risk-free way for healthcare practitioners to learn, maintain, or enhance their knowledge and skills. Such simulations should provide an optimum amount of cognitive load to the learner and…

Human-Computer Interaction · Computer Science 2020-02-05 Pritam Sarkar , Kyle Ross , Aaron J. Ruberto , Dirk Rodenburg , Paul Hungler , Ali Etemad

While neural networks with attention mechanisms have achieved superior performance on many natural language processing tasks, it remains unclear to which extent learned attention resembles human visual attention. In this paper, we propose a…

Computation and Language · Computer Science 2020-10-28 Ekta Sood , Simon Tannert , Diego Frassinelli , Andreas Bulling , Ngoc Thang Vu

Understanding how people allocate visual attention is central to Human-Computer Interaction (HCI), yet existing computational models of attention are often either descriptive, task-specific, or difficult to interpret. My dissertation…

Human-Computer Interaction · Computer Science 2026-03-03 Yunpeng Bai

Virtual reality finds various applications in productivity, entertainment, and training scenarios requiring working memory and attentional resources. Working memory relies on prioritizing relevant information and suppressing irrelevant…

Human-Computer Interaction · Computer Science 2024-12-31 Francesco Chiossi , Changkun Ou , Carolina Gerhardt , Felix Putze , Sven Mayer

Continuous stress forecasting could potentially contribute to lifestyle interventions. This paper presents a novel, explainable, and individualized approach for stress prediction using physiological data from consumer-grade smartwatches. We…

Machine Learning · Computer Science 2026-02-24 Xueyi Wang , Claudine J. C. Lamoth , Elisabeth Wilhelm

We introduced a {\it working memory} augmented adaptive controller in our recent work. The controller uses attention to read from and write to the working memory. Attention allows the controller to read specific information that is relevant…

Systems and Control · Electrical Eng. & Systems 2020-03-23 Deepan Muthirayan , Scott Nivison , Pramod P. Khargonekar
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