Over the past few years, mobile devices, particularly smartphones have seen dramatic increases in data consumption. The significant increases in data usage have placed tremendous strain on the wireless infrastructure necessitating research across a variety of optimization, efficiency, and capacity improvements. Complementary to those research efforts is the acquisition of a better understanding what aspects drive user smartphone usage. In this paper, we leverage the unique characteristics of the NetSense study to demonstrate how proximity, location, and individual differences (e.g., personality) can play an important role in understanding user behavior.
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Meng et al. (2014) studied this question.
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