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Expecting events in time leads to more efficient behavior. A remarkable early finding in the study of temporal expectancy is the foreperiod effect on reaction times; i.e., the influence or reaction time of the time period between a warning…

Quantitative Methods · Quantitative Biology 2016-11-02 Joaquin Rapela , Marissa Westerfield , Jeanne Townsend , Scott Makeig

Time estimation is a fundamental task that underpins precision measurement, global navigation systems, financial markets, and the organisation of everyday life. Many biological processes also depend on time estimation by nanoscale clocks,…

Continuous-time reinforcement learning (CTRL) provides a natural framework for sequential decision-making in dynamic environments where interactions evolve continuously over time. While CTRL has shown growing empirical success, its ability…

Machine Learning · Computer Science 2025-12-04 Runze Zhao , Yue Yu , Ruhan Wang , Chunfeng Huang , Dongruo Zhou

Educational stakeholders are often particularly interested in sparse, delayed student outcomes, like end-of-year statewide exams. The rare occurrence of such assessments makes it harder to identify students likely to fail such assessments,…

Computers and Society · Computer Science 2025-01-17 Ge Gao , Amelia Leon , Andrea Jetten , Jasmine Turner , Husni Almoubayyed , Stephen Fancsali , Emma Brunskill

The prevalence of online learning poses a vital challenge in real-time monitoring of students' concentration. Traditional methods such as questionnaire assessments require manual intervention, and webcam-based monitoring fails to provide…

Human-Computer Interaction · Computer Science 2025-10-29 Asif Islam , Farhan Ishtiaque , Md. Muhyminul Haque , Farhana Sarker , Ravi Vaidyanathan , Khondaker A. Mamun

Sleep studies are imperative to recapitulate phenotypes associated with sleep loss and uncover mechanisms contributing to psychopathology. Most often, investigators manually classify the polysomnography into vigilance states, which is…

Human attention is a scarce resource in modern computing. A multitude of microtasks vie for user attention to crowdsource information, perform momentary assessments, personalize services, and execute actions with a single touch. A lot gets…

Human-Computer Interaction · Computer Science 2020-07-21 Bo-Jhang Ho , Bharathan Balaji , Mehmet Koseoglu , Sandeep Sandha , Siyou Pei , Mani Srivastava

Machine learning systems deployed in the real world must operate under dynamic and often unpredictable distribution shifts. This challenges the validity of statistical safety assurances on the system's risk established beforehand. Common…

Machine Learning · Statistics 2025-06-23 Alexander Timans , Rajeev Verma , Eric Nalisnick , Christian A. Naesseth

We study 10 C/C++ projects that have been using a static analysis security testing tool. We analyze the historical scan reports generated by the tool and study how frequently memory-related alerts appeared. We also studied the subsequent…

Software Engineering · Computer Science 2021-04-12 Nasif Imtiaz , Laurie Williams

We study the ability of human observer to control fixation duration during execution of visual search tasks. We conducted the eye-tracking experiments with natural and synthetic images and found the dependency of fixation duration on…

Neurons and Cognition · Quantitative Biology 2020-04-24 Alexander Vasilyev

This paper investigates the combination of model predictive control (MPC) concepts and posterior sampling techniques and proposes a simple constraint tightening technique to introduce cautiousness during explorative learning episodes. The…

Systems and Control · Electrical Eng. & Systems 2022-09-22 Kim P. Wabersich , Melanie N. Zeilinger

Executive function, also known as executive control, is a multifaceted construct encompassing several cognitive abilities, including working memory, attention, impulse control, and cognitive flexibility. To accurately measure executive…

Neurons and Cognition · Quantitative Biology 2023-07-25 Fateme Zare , Paniz Sedighi , Mehdi Delrobaei

Background: Given that VR is applied in multiple domains, understanding the effects of cyber-sickness on human cognition and motor skills and the factors contributing to cybersickness gains urgency. This study aimed to explore the…

Human-Computer Interaction · Computer Science 2024-02-05 Panagiotis Kourtesis , Agapi Papadopoulou , Petros Roussos

Procrastination causes student stress, reduced learning and performance, and results in very busy help sessions immediately before deadlines. A key challenge is encouraging students to complete assignments earlier rather than waiting until…

Computers and Society · Computer Science 2023-11-28 Kevin Wang , Ramon Lawrence

Prolonged sitting is a health risk leading to metabolic and cardiovascular diseases. To combat this, various "nudging" strategies encourage stand-ups. Behavior change triggers use explicit prompts such as smartphone push notifications or…

Human-Computer Interaction · Computer Science 2025-07-14 Sohshi Yoshida , Ko Watanabe , Andreas Dengel , Shoya Ishimaru , Shingo Ata , Manato Fujimoto

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

Measures of disengagement provide insights into unproductive use of learning opportunities. Although measures of active disengagement, such as gaming the system and mind-wandering, are well studied, loss of practice time due to outright…

Computers and Society · Computer Science 2026-04-29 Ashish Gurung , Jordan Gutterman , Danielle R. Thomas , Mingyu Feng , Vincent Aleven , Kenneth R. Koedinger

The risk of diseases such as heart attack and high blood pressure could be reduced by adequate physical activity. However, even though majority of general population claims to perform some physical exercise, only a minority exercises enough…

Neural and Evolutionary Computing · Computer Science 2011-05-10 Tanja Magoc , Dejan Magoc

Purpose: The purpose of this study was to investigate the psychophysical understanding of the slip stimulus. We emphasized that the perception of slip and its characteristics, such as slip distance and slip speed depend on the interaction…

Human-Computer Interaction · Computer Science 2024-03-11 Ayesha Tooba Khan , Deepak Joshi , Biswarup Mukherjee

Large amounts of incremental learning algorithms have been proposed to alleviate the catastrophic forgetting issue arises while dealing with sequential data on a time series. However, the adversarial robustness of incremental learners has…

Cryptography and Security · Computer Science 2023-05-31 Yiqi Zhong , Xianming Liu , Deming Zhai , Junjun Jiang , Xiangyang Ji
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