A heuristic international glimpse at SARS-CoV-2 effects on work-home equilibrium and women.

This article takes a condensed look at the impact that SARS-CoV-2 has had on the work-life balance of women engineers across the world in industry, military and academia. The same impact has been felt by all women, not only in science, as it is this gender status that inevitably ties women together, facing the same challenges, and cannot be separated by category of employment, or lack thereof. Studies from around the world give us insight into how the pandemic has instigated changes and influenced choices made between work and domestic demands. Globally, women are burdened with challenges that may compromise their progression in male-dominated fields, such as engineering. Taking a glimpse at this issue for women through an international lens, we identify potential human factors methods to respond to this global problem, offering tools and forewarnings for improving our efforts in designing for, and maintaining equilibrium for women in engineering, technology, academia, and beyond.

Development of a novel hybrid cognitive model validation framework for implementation under COVID-19 restrictions.

The purpose of this study was to develop a method for validation of cognitive models consistent with the remote working situation arising from COVID-19 restrictions in place in Spring 2020. We propose a framework for structuring validation tasks and applying a scoring system to determine initial model validity. We infer an objective validity level for cognitive models requiring no in-person observations, and minimal reliance on remote usability and observational studies. This approach has been derived from the necessity of the COVID-19 response, however, we believe this approach can lower costs and reduce timelines to initial validation in post-Covid-19 studies, enabling faster progress in the development of cognitive engineering systems. A three-stage hybrid validation framework was developed based on existing validation methods and was adapted to enable compliance with the specific limitations derived from COVID-19 response restrictions. This validation method includes elements of argument-based validation combined with a cognitive walkthrough analysis, and reflexivity assessments. We conducted a case study of the proposed framework on a developmental cognitive model of cardiovascular surgery to demonstrate application of a real-world validation task. This framework can be easily and quickly implemented by a small research team and provides a structured validation method to increase confidence in assumptions as well as to provide evidence to support validity claims in the early stages of model development.