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According to prior work, the type of relationship between the personconsuming alcohol and others in the surrounding (friends, family, spouse,etc.), and the number of those people (alone, with one person, with a group,etc.) are related to many aspects of alcohol consumption, such as the drinkingamount, location, motives, and mood. Even though the social context isrecognized as an important aspect that influences the drinking behavior ofyoung adults in alcohol research, relatively little work has been conducted insmartphone sensing research on this topic. In this study, we analyze theweekend nightlife drinking behavior of 241 young adults in Switzerland, using adataset consisting of self-reports and passive smartphone sensing data over aperiod of three months. Using multiple statistical analyses, we show thatfeatures from modalities such as accelerometer, location, application usage,bluetooth, and proximity could be informative about different social contextsof drinking. We define and evaluate seven social context inference tasks usingsmartphone sensing data, obtaining accuracies of the range 75%-86% in fourtwo-class and three three-class inferences. Further, we discuss the possibilityof identifying the sex composition of a group of friends using smartphonesensor data with accuracies over 70%. The results are encouraging towards (a)supporting future interventions on alcohol consumption that incorporate users'social context more meaningfully, and (b) reducing the need for userself-reports when creating drink logs.

Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing