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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Grants
Awarded by Linkage Project grant of the Australian Research Council
Funding Acknowledgements
This research is supported by a Linkage Project grant of the Australian Research Council (LP120200413), including the design of the study, the collection, analysis, and interpretation of data, and the writing of the manuscript.