LbSLab: A user data collection system in mobile environments

Qingyuan Gong, Xinlei He, Qinge Xie, Shihan Lin, Guozhen She, Ruiyu Fang, Rui Han, Yang Chen, Yu Xiao, Xiaoming Fu, Xin Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
PublisherACM
Pages624-629
Number of pages6
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - 8 Oct 2018
MoE publication typeA4 Article in a conference publication
EventJoint ACM International Conference on Pervasive and Ubiquitous Computing (UbiComp) and ACM International Symposium on Wearable Computers (ISWC) - Singapore, Singapore
Duration: 8 Oct 201812 Oct 2018

Conference

ConferenceJoint ACM International Conference on Pervasive and Ubiquitous Computing (UbiComp) and ACM International Symposium on Wearable Computers (ISWC)
CountrySingapore
CitySingapore
Period08/10/201812/10/2018

Keywords

  • Data Collection
  • Location-Based Services
  • Mini-Program
  • Urban Computing
  • User Behavior

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