Challenges for social sensing using WiFi signals
Proceedings of the 1st ACM workshop on Mobile systems for computational social science
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We present Ma$$iv, an intelligent mobile grocery assistant that provides support for the customer during the entire shopping process. To guide the design of Ma$$iv, we conducted a user study that explored customer preferences regarding features in a mobile grocery aid. We first describe the study and its results, after which we introduce the design principles and design of Ma$$iv. We also describe the features that Ma$$iv supports and discuss functionalities that we are integrating into Ma$$iv. As part of the discussion, we describe technical challenges that we have encountered during our development efforts.