Collecting Data for Digital Human Modeling during the COVID-19 Pandemic

Open Access
Conference Proceedings
Authors: Martin Fleischer

Abstract: In the past few years, the world witnessed a global pandemic due to the widespread of the COVID-19 coronavirus. There are reasons to believe that the associated measures adopted by the respective governments to reduce the spread of the COVID-19 incidences had a drastic impact on the acquisition of subject data. Digital human modeling as many other disciplines of human factors relies on data gathered in participant studies. This led to a massive delay in studies that started before and during the pandemic. This paper compiles protective measures for the acquisition of subject data. Technical, organizational, and personal measures to protect conductors and subjects of studies are presented for future reference.

Keywords: COVID-19 Digital Human Modelling Best Practices

DOI: 10.54941/ahfe1001904

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