C-Flow: Visualizing Foot Traffic and Profit Data to Make Informative Decisions

“Business intelligence”, a term first coined in 1958, has been evolving for almost 60 years. With recent advancements in data collection, companies are looking for new ways to gain insight into customer behavior. In this paper, we present C-Flow, a novel system that allows mall and store owners to reason about consumer foot traffic with respect to store profits. This is done with an integrated heat map and overlaid footpaths on a mall map. Through two rounds of usability studies, we also provide evidence that rendering abstract paths may be more useful than rendering raw path data. See video at http://goo.gl/mBXjKd for reviews, slides and demonstration.

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teaser image of C-Flow: Visualizing Foot Traffic and Profit Data to Make Informative Decisions

C-Flow: Visualizing Foot Traffic and Profit Data to Make Informative Decisions

University of Maryland, College Park. Department of Computer Science, 2012.
Keywords: Information Visualization; Data Mapping; Indoor Visualization; Business; Usability Testing

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Cited By

  • Inside Mall: Visual Analytics of Customer Behavior and Activities. Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.Jens Opolka, Patrick Riehmann, Heiko Peter, and Bernd Froehlich. source | cite | search
  • Maximizing Consumer Satisfaction of IoT Energy Services. arXiv.2209.03619.Amani Abusafia, Athman Bouguettaya, and Abdallah Lakhdari. source | cite | search
  • Inside Mall: Visual Analytics of Customer Behavior and Activities. Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.Jens Opolka, Patrick Riehmann, Heiko Peter, and Bernd Froehlich. source | cite | search
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