期刊
JOURNAL OF SOCIAL AND PERSONAL RELATIONSHIPS
卷 40, 期 2, 页码 654-669出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/02654075221122069
关键词
Loneliness; social interaction; ambulatory assessment; social sensors; passive sensing; digital phenotyping
This article demonstrates how time-stamped sensor data of social interactions can be modeled with multistate survival models. It examines the association between loneliness and the time and duration of social interactions, finding that only relational loneliness predicts shorter social interaction encounters.
More and more data are being collected using combined active (e.g., surveys) and passive (e.g., smartphone sensors) ambulatory assessment methods. Fine-grained temporal data, such as smartphone sensor data, allow gaining new insights into the dynamics of social interactions in day-to-day life and how these are associated with psychosocial phenomena - such as loneliness. So far, however, smartphone sensor data have often been aggregated over time, thus, not doing justice to the fine-grained temporality of these data. In this article, we demonstrate how time-stamped sensor data of social interactions can be modeled with multistate survival models. We examine how loneliness is associated with (a) the time between social interaction (i.e., interaction rate) and (b) the duration of social interactions in a student population (N-participants = 45, N-observations = 74,645). Before a 10-week ambulatory assessment phase, participants completed the UCLA loneliness scale, covering subscales on intimate, relational, and collective loneliness. Results from the multistate survival models indicated that loneliness subscales were not significantly associated with differences in social interaction rate and duration - only relational loneliness predicted shorter social interaction encounters. These findings illustrate how the combination of new measurement and modeling methods can advance knowledge on social interaction dynamics in daily life settings and how they relate to psychosocial phenomena such as loneliness.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据