通过智能手机感应检查年轻人饮酒的社会背景
Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
摘要：
根据先前的工作，饮酒者与周围其他人（朋友、家人、配偶等）之间的关系类型，和那些人的数量（单独，与一个人，与一组，等等）。与饮酒的多方面有关，如饮酒量、地点、动机和情绪。尽管在酒精研究中，社会背景被认为是影响年轻人饮酒行为的一个重要方面，但在智能手机传感研究中对这一主题的研究相对较少。在这项研究中，我们分析了瑞士241名年轻人的周末夜生活饮酒行为，使用的数据集包括三个月内的自我报告和被动智能手机传感数据。使用多个统计分析，我们表明，从模式，如加速度计，位置，应用程序的使用，蓝牙和接近的功能可以提供有关不同的社会背景的饮酒。我们使用智能手机传感数据定义和评估了七个社会背景推理任务，在四个两类和三个三类推理中获得了75%-86%的准确率。此外，我们讨论了使用智能手机传感器数据识别一组朋友的性别组成的可能性，准确率超过70%。研究结果令人鼓舞，有助于（a）支持未来对酒精消费的干预措施，更有意义地纳入用户的社会背景，（b）在创建饮酒日志时减少用户自我报告的需要。
英文摘要：
According to prior work, the type of relationship between the person consuming 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 drinking amount, location, motives, and mood. Even though the social context is recognized as an important aspect that influences the drinking behavior of young adults in alcohol research, relatively little work has been conducted in smartphone sensing research on this topic. In this study, we analyze the weekend nightlife drinking behavior of 241 young adults in Switzerland, using a dataset consisting of self-reports and passive smartphone sensing data over a period of three months. Using multiple statistical analyses, we show that features from modalities such as accelerometer, location, application usage, bluetooth, and proximity could be informative about different social contexts of drinking. We define and evaluate seven social context inference tasks using smartphone sensing data, obtaining accuracies of the range 75%-86% in four two-class and three three-class inferences. Further, we discuss the possibility of identifying the sex composition of a group of friends using smartphone sensor 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 user self-reports when creating drink logs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
