Towards individuated reading experiences: Different fonts increase reading speed for different individuals

S Wallace, Z Bylinskii, J Dobres, B Kerr… - ACM Transactions on …, 2022 - dl.acm.org
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 …

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 …

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 …

HUMAN FACTORS AND ERGONOMICS IN DESIGN OF A 3 : AUTOMATION, AUTONOMY, AND ARTIFICIAL INTELLIGENCE

BD Sawyer, DB Miller, M Canham… - Handbook of human …, 2021 - Wiley Online Library
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 …

'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 …

Machine learning for automation usage prediction: identifying critical factors in driver decision-making

C Bustamante Orellana, L Rodriguez Rodriguez… - Applied …, 2025 - Springer
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 …

The education of the human factors engineer in the age of data science

D Hannon, E Rantanen, B Sawyer… - Proceedings of the …, 2020 - journals.sagepub.com
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 …

Educational data mining and learning analytics for improving online learning environments

YV Paredes, RF Siegle, IH Hsiao… - Proceedings of the …, 2020 - journals.sagepub.com
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 …

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 …

Predicting learning outcome in a first-year engineering course: a human-centered learning analytics approach

LC Castro, T Li, L Ciner, K Douglas… - 2022 ASEE Annual …, 2022 - peer.asee.org
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 …