Paper Info
Title
LBSLab: A User Data Collection System in Mobile Environments.
Abstract
Thanks to the emergence of mobile computing technologies, location-based services (LBS) have been widely used. Massive data of LBS user activities would be useful for studying human mobility and urban computing. In this paper, we design and implement LBSLab, a system which facilitates large-scale data collection of mobile user activities, and provides data visualization in an informative way. LBSLab interacts with users via a mini-program built in the WeChat app, assembling several representative location-related functions such as conducting check-ins. A mobile user can join a data collection experiment by simply scanning a QR code. LBSLab can serve as an efficient system to study the user behavior of LBS-related applications.
Year
DOI
Venue
2018
10.1145/3267305.3267546
UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing Singapore Singapore October, 2018
Keywords
Field
DocType
Data Collection, User Behavior, Location-Based Services, Mini-Program, Urban Computing
Mobile computing,Data collection,Data visualization,Computer science,Location-based service,Human–computer interaction,Urban computing,Pound (mass),Multimedia,Data collection system
Conference
ISBN
Citations 
PageRank 
978-1-4503-5966-5
1
0.36
References 
Authors
3
11
Name
Order
Citations
PageRank
Qingyuan Gong121.72
Xinlei He255.49
Qinge Xie341.41
Shihan Lin441.75
Guozhen She510.36
Ruiyu Fang652.12
Rui Han77411.51
Yang Chen837533.50
Yu Xiao954646.32
Xiaoming Fu101594126.46
Xin Wang1144559.14