Computational Ergonomics - A possible extension of computational neuroscience? Definitions, potential benefits, and a case study on cybersickness

Abstract

This paper proposes a sub-discipline called 'Computational Ergonomics' and explains how it will support the ultimate goal of 'studying human by building a human through quantitative modeling'. This idea is not new and has been successfully implemented in the sub-discipline of Computational Neuro-Sciences (CNS) for more than 20 years. In fact, quantitative models developed by CNS researchers are becoming comprehensive enough to explain simple voluntary human behavior already. We believe the timing is right for ergonomics researchers to make use of the many open-source quantitative CNS modeling algorithms as fundamental building blocks of quantitative human performance models. This move is also consistent with the new sub-discipline of 'neuroergonomics' (Spring 2003 issue of Theoretical Issues in Ergonomics Sciences) and the call for more quantitative formal models of human performance (Spring 2003 issue of Human Factors). In addition to explaining the essential elements of the proposed 'Computational Ergonomics', this paper presents a case study to illustrate the benefits of the proposed changes. In particular, how the authors' research on simulator sickness with virtual reality systems has benefited from the proposed changes. This paper intends to raise stimulating and controversial arguments to be discussed during the conference presentation

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