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LSApp: Large dataset of Sequential mobile App usage

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DataCite Commons2025-02-24 更新2025-04-16 收录
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https://ieee-dataport.org/documents/lsapp-large-dataset-sequential-mobile-app-usage
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During the study period, with the help of 292 participants, we were able to collect 599,635 app usage records. Here, we summarize the main characteristics of the participants based on the submitted surveys. 59% of the participants were female and 50% aged between 25 and 34. Participants were from all kinds of educational backgrounds ranging from high school diploma to PhD. In particular, 32% of them had a college degree, followed by 30% with a bachelor's degree. Smartphone was the main device used for connecting to the Internet for 53% of the participants, followed by laptop (25%). Among the participants, 67% used their smartphones more often for personal reasons rather than work. Finally, half of the participants stated that they use their smartphones 4 hours a day or more

在研究周期内,我们依托292名参与者的协助,共收集到599635条应用使用记录。以下基于参与者提交的调查问卷,总结了受试者的主要特征:59%的参与者为女性,50%的参与者年龄介于25至34岁之间。参与者的教育背景覆盖范围广泛,涵盖从高中文凭到哲学博士(PhD)的各学历层级,其中32%拥有大专学历,占比紧随其后的为30%的学士学位持有者。53%的参与者以智能手机作为接入互联网的主要设备,其次为占比25%的笔记本电脑。在参与者中,67%更常将智能手机用于个人用途而非工作场景。最后,有半数参与者表示每日使用智能手机的时长达到4小时及以上。
提供机构:
IEEE DataPort
创建时间:
2025-02-24
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