22 papers · ranked by Valyu relevance
Rahul Pandey, Hemant Purohit, Carlos Castillo, Valerie L. Shalin
High-quality human annotations are necessary for creating effective machine learning-driven stream processing systems. We study hybrid stream processing systems based on a Human-In-The-Loop Machine Learning (HITL-ML) paradigm, in which one or many human annotators and an automatic classifier (trained at least partially…
Sweta Mahaju, Jeffrey C. Carver, Gary L. Bradshaw
Context: Software development is a human-centric activity and hence vulnerable to human error. Human errors are errors in the human thought process. To ensure software quality, it is important for practitioners to understand how to manage these human errors. Organizations often introduce changes into the requirements…
Fakhradin Ghasemi, Mohammad Babamiri, Zahra Pashootan, Muhammad Junaid Farrukh
'Muhammad Junaid Farrukh'] Medication errors can endanger the health and safety of patients and need to be managed appropriately. This study aimed at developing a new and comprehensive method for estimating the probability of medication errors in hospitals. An extensive literature review was conducted to identify…
J.D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke + 2 more
'Nikhil Garg' 'Emma Pierson'] Algorithms provide powerful tools for detecting and dissecting human bias and error. Here, we develop machine learning methods to to analyze how humans err in a particular high-stakes task: image interpretation. We leverage a unique dataset of 16,135,392 human predictions of whether a…
Christina M. Lewis, Robert S. Gutzwiller
Previous work on indices of error-monitoring strongly supports that errors are distracting and can deplete attentional resources. In this study, we use an ecologically valid multitasking paradigm to test post-error behavior. It was predicted that after failing an initial task, a subject re-presented with that task in…
Anna Poranen, Anne Kouvonen, Hilla Nordquist
Background The dynamic and challenging work environment of the prehospital emergency care settings creates many challenges for paramedics. Previous studies have examined adverse events and patient safety activities, but studies focusing on paramedics’ perspectives of factors contributing to human error are lacking. In…
Shu-Huan Ko, Min-Chih Hsieh, Run-Feng Huang, Daniele Giansanti
Medical institutions worldwide strive to avoid adverse medical events, including adverse medication-related events. However, studies on the comprehensive analysis of medication-related adverse events are limited. Therefore, we aimed to identify the error factors contributing to medication-related adverse events using…
Ali Reza Zaker Hossein, Ahmad Reza Sayadi, Mohammad Javad Rahimdel, Mohammad Reza Moradi
'Mohammad Reza Moradi'] Failures in mining machinery can abruptly halt mineral production and operations, emphasizing the indispensable role of humans in maintenance and repair operations. Addressing human errors is crucial for ensuring a safe and reliable system, particularly during maintenance activities where…
Edna C. Cieslik, Markus Ullsperger, Martin Gell, Simon B. Eickhoff + 1 more
Brain mechanisms of error processing have often been investigated using response interference tasks and focusing on the posterior medial frontal cortex, which is also implicated in resolving response conflict in general. Thereby, the role other brain regions may play has remained undervalued. Here, activation…
Nahoko Takada, Tipporn Laohakangvalvit, Midori Sugaya, María Dolores Martínez Aires + 2 more
'María Dolores Martínez Aires' 'Diego Pablo Ruiz Padillo' 'Juan Antonio Holgado-Terriza'] As human’s simple tasks are being increasingly replaced by autonomous systems and robots, it is likely that the responsibility of handling more complex tasks will be more often placed on human workers. Thus, situations in which…
Rodolfo A. Neirotti, Luiz F. Caneo
“Success is not final. Failure is not fatal. It is the courage to continue that counts.”-Winston Churchill. Cardiac surgery is a complex system. During our training in cardiac surgery, we learned that failures and errors were not acceptable in our practice, but after working for some time, we realized that both are…
Connie A. Van der Byl, Harrie Vredenburg
We study errors in organizations to understand and ideally prevent them from reoccurring. In this study we examine mistakes made as an oil company adopted new technology to access untapped reserves. We find that a pre-existing error management culture (EMC) dominated in the organization while error prevention measures…
Tan T. Nguyen, Joset A. Etzel, Matthew A. Bezdek, Jeffrey M. Zacks
The human brain segments continuous experience into discrete events, with theoretical accounts proposing two distinct mechanisms: creating boundaries at points of high prediction error (mismatch between expected and observed information) or high prediction uncertainty (reduced precision in predictions). Using fMRI and…
Christopher D. Wallbridge, Erwin Jose Lopez Pulgarin
This position paper looks briefly at the way we attempt to program robotic AI systems. Many AI systems are based on the idea of trying to improve the performance of one individual system to beyond so-called human baselines. However, these systems often look at one shot and one-way decisions, whereas the real world is…
Maia Stiber, Russell H. Taylor, Chien‐Ming Huang
Evaluation, and Recommendations Authors: ['Maia Stiber' 'Russell H. Taylor' 'Chien‐Ming Huang'] Abstract— Effective error detection is crucial to prevent task disruption and maintain user trust. Traditional methods often rely on task-specific models or user reporting, which can be inflexible or slow. Recent research…
Cécile Gal, Dimitrios Askitis, Katarina Begus
Self-reflection is central to human cognition and is arguably a defining feature of human consciousness. Yet, the mechanisms enabling our mind to reflect upon itself and to construct a conceptual sense of self remain poorly understood. This study brings empirical traction to the puzzle of self-reflection by studying…
Authors not listed
Nuclear Magnetic Resonance (NMR) structure determination is an important problem in education, industry, and research. Solving NMR spectra requires expert knowledge, critical thinking, and careful evaluation of multiple features of spectral data. This study explores the capabilities of large language models (LLMs) for…
Yuki Kubota, Taiki Fukiage
Human depth perception from 2D images is systematically distorted, yet the nature of these distortions is not fully understood. To gain insights into this fundamental problem, we compare human depth judgments with those of deep neural networks (DNNs), which have shown remarkable abilities in monocular depth estimation.…
Daniel A. Rogers, Kirsty J. Brooks, Anthony Finn, Matthias Schlesewsky + 2 more
To address suggestions that human brain responses to autonomous system errors may be used as brain-based measures of trust in automation, the present study asked participants to monitor the performance of either a virtual human or an autonomous system partner performing a novel, complex, real-world image classification…
Authors not listed
A Python script for the systematic, high-throughput analysis of accurate mass data was developed and tested on over 3,000 Supporting Information (SI) PDFs from Organic Letters. For each SI file, quadruplets of molecular formula, measured ion, e.g. [M+Na]+, reported calculated and found masses were extracted and…
Jonggi Hong, Hernisa Kacorri
Object recognition technologies hold the potential to support blind and low-vision people in navigating the world around them. However, the gap between benchmark performances and practical usability remains a significant challenge. This paper presents a study aimed at understanding blind users' interaction with object…
Ahmed Abdelbaki, Afshan McCarthy, Anita Karsa, Leila Muresan + 7 more
Meiotic and mitotic chromosome segregation errors in human development have been studied mostly prior to and at the time of fertilisation. Despite chromosomal errors being a leading cause of miscarriage and infertility, chromosome missegregation has not been extensively studied at later stages of human development.…