@inproceedings{d2b70abd89fe4eeca4a6688023e5d1be,
title = "Big data analytics: Why should HF/E care?",
abstract = "Advances in sensor technology, connectedness and computational power have together produced huge data sets. The treatment and analysis of these data sets is known as Big Data Analytics (BDA). Computational methods have been developed to derive meaningful, actionable conclusions from these data bases. This paper examines BDA, often characterized by Volume, Velocity and Variety, giving examples of successful BDA use. This examination provides a context for 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 and the ethics of BDA.",
author = "Drury, \{Colin G.\}",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis.; International Conference on Ergonomics and Human Factors, 2015 ; Conference date: 13-04-2015 Through 16-04-2015",
year = "2015",
language = "English",
series = "Contemporary Ergonomics and Human Factors 2015",
publisher = "CRC Press/Balkema",
pages = "11--20",
editor = "Patrick Waterson and Sarah Sharples and Steven Shorrock",
booktitle = "Contemporary Ergonomics and Human Factors 2015",
}