Logo image
Using human factors and ergonomics methods to challenge the status quo: Designing for gender equitable research outcomes
Journal article   Peer reviewed

Using human factors and ergonomics methods to challenge the status quo: Designing for gender equitable research outcomes

Gemma Read, K M Madeira-Revell, K J Parnell, D Lockton and Paul Salmon
Applied Ergonomics, Vol.99, pp.1-12
2022
PMID: 34753098
url
https://doi.org/10.1016/j.apergo.2021.103634View
Published Version

Abstract

abstraction hierarchy causal loop diagram design with intent toolkit geder data gap gender equity sociotechnical systems design toolkit UniSC Diversity Area - Gender Equity
There have been recent calls for Human Factors and Ergonomics (HFE) to expand its reach and focus to address larger scale societal and global issues. An area of growing awareness is the issue of the gender data gap, whereby women are under-represented in research data, leading to inequitable outcomes when research findings are used to design real world technologies, products, environments, processes, and policies. The aim of this paper is to showcase how structured HFE methods can be used to address the gender data gap. We applied the Socio-technical Systems Design Toolkit which involved using causal loop diagrams and abstraction hierarchy modelling from Cognitive Work Analysis to understand the system in which the issue occurs and key pain points, followed by the application of the Design with Intent Toolkit to generate design ideas. A total of 43 ideas were developed that could be implemented by universities to address the research data gap. The application demonstrates the utility of HFE methods in tackling complex issues and offers an opportunity for the HFE community to reflect upon the importance of gender sensitive research practices and gender equity more broadly.

Details

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Engineering, Industrial
Ergonomics
Psychology, Applied
Logo image