论文标题
一个人还是与他人？了解用移动感知的大学生的饮食情节
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing
论文作者
论文摘要
使用移动传感了解食品消耗模式和环境是建立移动健康应用程序的基础，这些应用需要最少的用户互动来生成移动食品日记。许多可用的移动食品日记，无论是商业还是研究中，都严重依赖自我报告，这种依赖性限制了人们长期采用这些应用程序。根据营养和行为科学的先前研究，饮食的社会环境（独自与朋友，与家人一起，与伴侣等）是一个重要的自我报告的特征，它影响了诸如食品类型，饮食时心理状态以及食物量之类的方面。在这项工作中，我们使用两个数据集，涉及两个国家 /地区的大学生的日常饮食行为，即瑞士（N_CH = 122）和墨西哥（N_MX = 84），研究饮食的社交环境与可穿戴设备和智能手机的被动感知数据之间的关系。此外，我们设计了一项分类任务，即使用被动的感应数据和进食时间推断出饮食与饮食与他人发作，获得了77％至81％的准确性。我们认为，这是了解使用移动传感与食物消费相关的更复杂的社会环境的第一步。
Understanding food consumption patterns and contexts using mobile sensing is fundamental to build mobile health applications that require minimal user interaction to generate mobile food diaries. Many available mobile food diaries, both commercial and in research, heavily rely on self-reports, and this dependency limits the long term adoption of these apps by people. The social context of eating (alone, with friends, with family, with a partner, etc.) is an important self-reported feature that influences aspects such as food type, psychological state while eating, and the amount of food, according to prior research in nutrition and behavioral sciences. In this work, we use two datasets regarding the everyday eating behavior of college students in two countries, namely Switzerland (N_ch=122) and Mexico (N_mx=84), to examine the relation between the social context of eating and passive sensing data from wearables and smartphones. Moreover, we design a classification task, namely inferring eating-alone vs. eating-with-others episodes using passive sensing data and time of eating, obtaining accuracies between 77% and 81%. We believe that this is a first step towards understanding more complex social contexts related to food consumption using mobile sensing.
