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Collect APP usage time data from the “App Usage” app

Citation Author(s):
Zhi-Ren Tsai (Department of Computer Science & Information Engineering, Asia University, Taichung, Taiwan)
Submitted by:
Zhi-Ren Tsai
Last updated:
DOI:
10.21227/ztqg-q332
Data Format:
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Abstract

Four functional categories: communication, social networking, games, and audiovisual media. 

Instructions:

The eight CSV files correspond to four functional categories.    
• In each file, every row records a participant’s mobile-phone usage time (in seconds).    
• The nine columns represent nine consecutive weeks:    
 – *_change0_11.csv files contain the average daily usage on weekdays for each of those weeks.    
 – *_weekend0_11.csv files contain the average daily usage on weekends (Saturday and Sunday) for the same weeks.    
• Row identifiers have the following meanings:    
 – IDs beginning with user1091* = smartphone-addicted users.    
 – IDs beginning with user1092* = non-addicted users.    
 – Null = no data or the participant was not enrolled in the study.

Funding Agency
Ministry of Science and Technology, Taiwan, ROC
Grant Number
MOST 108-2511-H-468-001-MY3, 108-2511-H-468 -002, 108-2511-H-468-003-MY3, 109-2321-B-468-001, and 109-2511-H-468-004