Journal article

Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces

Yongli Ren, Martin Tomko, Flora D Salim, Jeffrey Chan, Mark Sanderson

EPJ Data Science | Springer | Published : 2018

Abstract

Understanding the association between customer demographics and behaviour is critical for operators of indoor retail spaces. This study explores such an association based on a combined understanding of customer Cyber (online), Physical, and (some aspects of) Social (CPS) behaviour, at the conjunction of corresponding CPS spaces. We combine the results of a traditional questionnaire with large-scale WiFi access logs, which capture customer cyber and physical behaviour. We investigate the predictability of user demographics based on CPS behaviors captured from both sources. We find (1) strong correlations between users’ demographics and their CPS behaviors; (2) log-recorded cyber-physical beha..

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University of Melbourne Researchers