title: Human factors/ergonomics implications of big data analytics: Chartered Institute of Ergonomics and Human Factors annual lecture.
abstract: In recent years, advances in sensor technology, connectedness and computational power have come together to produce huge data-sets. The treatment and analysis of these data-sets is known as big data analytics (BDA), and the somewhat related term data mining. Fields allied to human factors/ergonomics (HFE), e.g. statistics, have developed computational methods to derive meaningful, actionable conclusions from these data bases. This paper examines BDA, often characterised by volume, velocity and variety, giving examples of successful BDA use. This examination provides context by considering examples of using BDA on human data, using BDA in HFE studies, and studies of how people perform BDA. Significant issues for HFE are the reliance of BDA on correlation rather than hypotheses and theory, the ethics of BDA and the use of HFE in data visualisation.
authors: a Department of Industrial and Systems Engineering , University at Buffalo: SUNY , 434 Bell Hall, Buffalo , 14260 NY , USA.
authors: Colin G
authors: CG
authors: Drury
mesh_terms: D003219:Confidentiality; D057225:Data Mining; D019992:Databases as Topic; D006804:Ergonomics; D006801:Humans; D012106:Research; D012958:Societies, Scientific; D013223:Statistics as Topic
keywords: big data; correlation; data mining; ethics