Towards individuated reading experiences: Different fonts increase reading speed for different individuals
In our age of ubiquitous digital displays, adults often read in short, opportunistic interludes.
In this context of Interlude Reading, we consider if manipulating font choice can improve …
In this context of Interlude Reading, we consider if manipulating font choice can improve …
Impact of fireworks industry safety measures and prevention management system on human error mitigation using a machine learning approach
I Nallathambi, P Savaram, S Sengan, M Alharbi… - Sensors, 2023 - mdpi.com
In the fireworks industry (FI), many accidents and explosions frequently happen due to
human error (HE). Human factors (HFs) always play a dynamic role in the incidence of …
human error (HE). Human factors (HFs) always play a dynamic role in the incidence of …
NDE 4.0: new paradigm for the NDE inspection personnel
M Bertovic, I Virkkunen - Handbook of Nondestructive Evaluation 4.0, 2022 - Springer
Nondestructive evaluation (NDE) is entering an era of the fourth industrial revolution and will
undergo a major transformation. NDE is a vital part of industry and a successful move to …
undergo a major transformation. NDE is a vital part of industry and a successful move to …
HUMAN FACTORS AND ERGONOMICS IN DESIGN OF A 3 : AUTOMATION, AUTONOMY, AND ARTIFICIAL INTELLIGENCE
In develo** the highly useful technologies, knowledge from human factors and
ergonomics (HF/E) can be of great use, especially to designers charged with the difficult task …
ergonomics (HF/E) can be of great use, especially to designers charged with the difficult task …
'why are the sales forecasts so low?'socio-technical challenges of using machine learning for forecasting sales in a bakery
M Fries, T Ludwig - Computer Supported Cooperative Work (CSCW), 2024 - Springer
Artificial intelligence and the underlying machine learning (ML) methods are increasingly
finding their way into our working world. One of these areas is sales planning, where …
finding their way into our working world. One of these areas is sales planning, where …
Machine learning for automation usage prediction: identifying critical factors in driver decision-making
Inappropriate automation usage is a common cause of incidents in semi-autonomous
vehicles. Predicting and understanding the factors influencing this usage is crucial for safety …
vehicles. Predicting and understanding the factors influencing this usage is crucial for safety …
The education of the human factors engineer in the age of data science
The continued advances in artificial intelligence and automation through machine learning
applications, under the heading of data science, gives reason for pause within the educator …
applications, under the heading of data science, gives reason for pause within the educator …
Educational data mining and learning analytics for improving online learning environments
The proliferation of educational technology systems has led to the advent of a large number
of datasets related to learner interaction. New fields have emerged which aim to use this …
of datasets related to learner interaction. New fields have emerged which aim to use this …
A comparison of rule-based and machine learning models for classification of human factors aviation safety event reports
K Darveau, D Hannon, C Foster - Proceedings of the Human …, 2020 - journals.sagepub.com
There is growing interest in the study and practice of applying data science (DS) and
machine learning (ML) to automate decision making in safety-critical industries. As an …
machine learning (ML) to automate decision making in safety-critical industries. As an …
Predicting learning outcome in a first-year engineering course: a human-centered learning analytics approach
First-year engineering courses are relatively large with several sections; thus, it can be
rather difficult for an individual instructor to recognize when a particular student begins to …
rather difficult for an individual instructor to recognize when a particular student begins to …