首页    期刊浏览 2025年03月03日 星期一
登录注册

文章基本信息

  • 标题:Systematic Categorisation of 3,091 Smartphone Applications From a Large-Scale Smartphone Sensing Dataset
  • 本地全文:下载
  • 作者:Ramona Schoedel ; Michelle Oldemeier ; Léonie Bonauer
  • 期刊名称:Journal of Open Psychology Data
  • 电子版ISSN:2050-9863
  • 出版年度:2022
  • 卷号:10
  • 期号:1
  • DOI:10.5334/jopd.59
  • 语种:English
  • 出版社:Ubiquity Press
  • 摘要:Practically all user activities on a smartphone depend on self-contained software applications, so-called apps. Due to the large number and diversity of available apps, the analysis of app usage behaviour in social science research requires elaborate pre-processing of app data. Therefore, we present a categorisation scheme and a dataset of 3,091 manually categorised apps used by a representative quota sample within a large-scale smartphone sensing study conducted in Germany over several months in 2020. For the categorisation, we report values for inter-rater agreement between two independent raters. We provide the freely available dataset as a CSV and we invite other researchers to use and modify the categorisation for their specific research questions and to extend it for the mobile sensing research community.
国家哲学社会科学文献中心版权所有