Datasets
Standard Dataset
LSApp: Large dataset of Sequential mobile App usage
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- Citation Author(s):
- Submitted by:
- Cunquan Qu
- Last updated:
- Mon, 02/24/2025 - 20:39
- DOI:
- 10.21227/w17r-xx75
- License:
- Categories:
- Keywords:
Abstract
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
Upon downloading the data, you get one compressed file. You can uncompress it using gzip, zip etc. The main file is a TSV file, called lsapp.tsv. Each row of LSApp consists of the following columns:
- user_id: the unique user identifier.
- session_id: the unique session identifier.
- timestamp: time when the app usage event is recorded.
- app_name: name of the app.
- event_type: type of the event recorded. Possible values: Opened, Closed, User Interaction, Broken