Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

A Design and Implementation of Mobile Application Usage Pattern Analysis System

모바일 어플리케이션 이용패턴 분석 시스템의 설계와 구현

  • Received : 2014.07.11
  • Accepted : 2014.08.06
  • Published : 2014.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Mobile applications are software systems running on handheld devices, such as smartphones, PDAs, tablets and so on. The market of mobile application has rapidly expanded in the past few years. In this paper, we present a novel approach to track smartphone application usage from a event logs on the mobile device and analyzed both on client system and usage analysis server. We implemented our client system on Android device based usage analytics platform. Based on the analysis server system, we obtained over 47,000 user base, and we get the user's app usage informations on realtime. In this paper, we describe a large scale deployment-based research for a smartphone usage patterns and usage information visualization techniques.

모바일 어플리케이션 시장은 지난 수년간 급속하게 확장되어 왔다. 이 논문에서는 모바일 디바이스의 이벤트 로그를 추적하여 스마트폰 어플리케이션의 사용량을 조사하는 기법을 제안하고 구현하였다. 이 시스템은 클라이언트 시스템과 사용성 분석 서버 시스템을 통하여 스마트폰 사용량에 대한 분석을 시도하였다. 이를 위하여 본 연구에서는 안드로이드 운영체제가 탑재된 디바이스에서 사용성 분석 플랫폼을 구현하였다. 또한, 분석 서버 시스템을 이용하여 47,000여명의 사용자 정보와 사용자의 앱 사용 정보를 실시간으로 수집하였다. 본 논문에서 우리는 대규모의 사용자 정보를 기반으로 하여 스마트폰의 사용 패턴과 사용 정보를 연구하였으며, 사용자를 위한 편리한 사용패턴 가시화 기능을 구현하였다.

Keywords

References

  1. M. Bohmer, B. Hecht, J. Schoning, A, Krueger, G. Bauer, "Falling Asleep with Angry Birds, Facebook and Kindle - A Large Scale Study on Mobile Application Usage," Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 47-56, 2011.
  2. X. Zou, W. Zheng, S. Li, G. Pan, "Prophet: What App You Wish to Use Next," Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing, pp 167-170, 2013.
  3. A. Rahmati, Z. Lin, "Studying Smartphone Usage: Lessons from a Four-Month Field Study," IEEE Transactions on Mobile Computing, vol. 12, no. 7, pp. 1417-1427, 2013. https://doi.org/10.1109/TMC.2012.127
  4. A. Karatzoglou, L. Baltrunas, K. Church, M. Bohmer, "Climbing the app wall: enabling mobile app discovery through context-aware recommendations," Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 2527-2530, 2012.
  5. J. Ju, B. Jeong, S. Ryu, "An analytics for software platform competition and tts structural changes," Korea Information Society Development Institute, pp. 13-11, 2013. 12.
  6. H. Cho, "A study on smartphone usage pattern by gender and age," Korean Internet & Security Agency, 2013.
  7. "2012 Smartphone usage pattern analysis 2012," Korean Internet & Security Agency, 2013.
  8. "2013 Year mobile internet usage report," Korean Internet & Security Agency, 2013.
  9. H. Kim, J. Ryu, C. Park, A. Kim, J. Lee, "A trends on mobile app analysis platform," ETRI, 2014 Electronics and Telecommunications Trends, pp 50-60, 2014.
  10. Rinasoft Inc. App Ranking Report Web Site(2014), http://how.appall.co.kr/.
  11. How much do you use-smartphone usage time/pattern analysis, Google Play App(2014) https://play.google.com/store/apps/details?id=kr.co.rinasoft.howuse.
  12. Internet Statistics Information Search System(2014) [2014], http://isis.kisa.or.kr/.
  13. AARRR mobile app marketing guide [2014], http://www.slideshare.net/Electrosky/aarrr-mobile-app-marketing-guide.

Cited by

  1. A Mobile Application and Web Integration Service for Public Bicycle Sharing System vol.18, pp.11, 2015, https://doi.org/10.9717/kmms.2015.18.11.1351
  2. Analysis of Behavioral Characteristics of Smartphone Addiction Using Data Mining vol.8, pp.7, 2018, https://doi.org/10.3390/app8071191