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In our research, we attempt to help people recognize their brain state of concentration or relaxation more conveniently and in real time. Considering the inconvenience of wearing traditional multiple electrode electroencephalographs, we…

Human-Computer Interaction · Computer Science 2015-09-28 Zhen Li , Jianjun Xu , Tingshao Zhu

Eye-tracking technology is an integral component of new display devices such as virtual and augmented reality headsets. Applications of gaze information range from new interaction techniques exploiting eye patterns to gaze-contingent…

Human-Computer Interaction · Computer Science 2022-05-05 Elena Arabadzhiyska , Cara Tursun , Hans-Peter Seidel , Piotr Didyk

Wearable Cognitive Assistance (WCA) applications present a challenge to benchmark and characterize due to their human-in-the-loop nature. Employing user testing to optimize system parameters is generally not feasible, given the scope of the…

Studies in recent years have demonstrated that neural organization and structure impact an individual's ability to perform a given task. Specifically, individuals with greater neural efficiency have been shown to outperform those with less…

While acute stress has been shown to have both positive and negative effects on performance, not much is known about the impacts of stress on students grades during examinations. To answer this question, we examined whether a correlation…

Machine Learning · Computer Science 2023-01-31 Willie Kang , Sean Kim , Eliot Yoo , Samuel Kim

Cognitive load is key to ensuring an optimal learning experience. However, measuring the cognitive load of educational tasks typically relies on self-report measures which has been criticized by researchers for being subjective. In this…

Human-Computer Interaction · Computer Science 2025-07-18 Minghao Cai , Guher Gorgun , Carrie Demmans Epp

Wearable devices have revolutionized healthcare monitoring, allowing us to track physiological conditions without disrupting daily routines. Whereas monitoring physical health and physical activities have been widely studied, their…

Human-Computer Interaction · Computer Science 2024-06-19 Peter Traunmuller , Anice Jahanjoo , Soheil Khooyooz , Amin Aminifar , Nima TaheriNejad

Research on human reading has long documented that reading behavior shows task-specific effects, but it has been challenging to build general models predicting what reading behavior humans will show in a given task. We introduce NEAT, a…

Computation and Language · Computer Science 2022-09-19 Michael Hahn , Frank Keller

Recent studies of hearing aid benefits indicate that head movement behavior influences performance. To systematically assess these effects, movement behavior must be measured in realistic communication conditions. For this, the use of…

Medical Physics · Physics 2018-12-06 Maartje M. E. Hendrikse , Gerard Llorach , Giso Grimm , Volker Hohmann

In this paper, we describe the research on how perceptual load can affect programming performance in people with symptoms of Attention Deficit / Hyperactivity Disorder (ADHD). We asked developers to complete the Barkley Deficits in…

Software Engineering · Computer Science 2023-08-30 Vseslav Kasatskii , Agnia Sergeyuk , Anastasiia Serova , Sergey Titov , Timofey Bryksin

With the increasing spread of AR head-mounted displays suitable for everyday use, interaction with information becomes ubiquitous, even while walking. However, this requires constant shifts of our attention between walking and interacting…

Human-Computer Interaction · Computer Science 2025-03-05 Julian Rasch , Matthias Wilhalm , Florian Müller , Francesco Chiossi

Working Memory (WM) load is an important cognitive feature that is highly correlated with mental effort. Several neurological biomarkers such as theta power and mid-frontal activity show increased activity with increasing WM load. Such…

Neurons and Cognition · Quantitative Biology 2020-08-13 Neta B. Maimon , Lior Molcho , Nathan Intrator , Dominique Lamy

This work presents a study on the extraction and analysis of a set of 101 categories of eye movement features from three types of eye movement events: fixations, saccades, and post-saccadic oscillations. The eye movements were recorded…

Computer Vision and Pattern Recognition · Computer Science 2017-03-28 Ioannis Rigas , Lee Friedman , Oleg Komogortsev

Fatigue is a loss in cognitive or physical performance due to physiological factors such as insufficient sleep, long work hours, stress, and physical exertion. It adversely affects the human body and can slow reaction times, reduce…

Human-Computer Interaction · Computer Science 2022-10-27 Ashish Jaiswal , Mohammad Zaki Zadeh , Aref Hebri , Fillia Makedon

Attention is a key factor for successful learning, with research indicating strong associations between (in)attention and learning outcomes. This dissertation advanced the field by focusing on the automated detection of attention-related…

Human-Computer Interaction · Computer Science 2024-07-09 Babette Bühler

Human-computer interaction (HCI) increasingly occurs in motion-rich environments. The ability to accurately and rapidly respond to directional visual cues is critical in these contexts. How whole-body motion and individual differences…

Human-Computer Interaction · Computer Science 2026-01-21 Jianshu Wang , Siyu Liu , Chao Zhou , Yawen Zheng , Yuan Yue , Tangjun Qu , Yang Li , Yutao Xie , Jin Huang , Yulong Bian , Feng Tian

When using Head-Mounted Displays (HMDs), users may not always notice or report visual discomfort by blurred vision through unadjusted lenses, motion sickness, and increased eye strain. Current measures for visual discomfort rely on users'…

Human-Computer Interaction · Computer Science 2024-07-29 Francesco Chiossi , Yannick Weiss , Thomas Steinbrecher , Christian Mai , Thomas Kosch

Not only correctness but also self-confidence play an important role in improving the quality of knowledge. Undesirable situations such as confident incorrect and unconfident correct knowledge prevent learners from revising their knowledge…

Human-Computer Interaction · Computer Science 2021-02-16 Shoya Ishimaru , Takanori Maruichi , Andreas Dengel , Koichi Kise

Passive shoulder exoskeletons have been widely introduced in the industry to aid upper extremity movements during repetitive overhead work. As an ergonomic intervention, it is important to understand how users adapt to these devices over…

Quantitative Methods · Quantitative Biology 2024-03-14 Tiash Rana Mukherjee , Oshin Tyagi , Jingkun Wang , John Kang , Ranjana Mehta

To help address the occlusion problem in panoptic segmentation and image understanding, this paper proposes a new large-scale dataset named COCO-OLAC (COCO Occlusion Labels for All Computer Vision Tasks), which is derived from the COCO…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Wenbo Wei , Jun Wang , Abhir Bhalerao