Understanding and prediction of mobile application usage for smart phones

UbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Volumn , Issue , 2012, Pages 173-182

  Shin, Choonsung ^a   Hong, Jin Hyuk ^a   Dey, Anind K ^a  

^a Carnegie Mellon University   (United States)

Author keywords

App prediction; Context awareness; Mobile computing; User interface

Indexed keywords

COMPREHENSIVE ANALYSIS; CONTEXT-AWARENESS; MOBILE APPLICATIONS; PREDICTION ACCURACY; PREDICTION MODEL; SENSORY DATA;

FORECASTING; MOBILE COMPUTING; TELEPHONE SETS; TOUCH SCREENS; UBIQUITOUS COMPUTING; USER INTERFACES;

SMARTPHONES;

EID: 84867455938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2370216.2370243     Document Type: Conference Paper

References (21)

1. Satyanarayanan, M.: Swiss Army Knife or Wallet?, IEEE Pervasive Computing 4(2), 2-3 (2005).
2. http://blog.nielsen.com/nielsenwire/online-mobile/thestate-of-mobile- apps/.
3. http://www.distimo.com/blog/2011/04/.
4. http://www.research2guidance.com/.
5. Sears, A., and Shneiderman, B.: Split Menu: effectively Using Selection Frequency to Organize menus, ACM ToCHI 1(1), 27-51 (1994).
6. Bridle, R. and McCreath, E.: Predictive Menu Selection on a Mobile Phone, In Proc. of European Conference on Machine Learning, 75-88 (2005).
7. Verkasalo, H.: Contextual patterns in mobile service usage, Personal and Ubiquitous Computing 13(5), 331-342 (2009).
8. Böhmer, M., et al.: Falling Asleep with Angry Birds, Facebook and Kindle - A Large Scale Study on Mobile Application Usage, In Proc. of MobileHCI, 47-56 (2011).
9. Matsumoto, M., et al.: Proposition of the context-aware interface for cellular phone operations, In Proc INSS'05, 233-233 (2005).
10. Vetek, A., Flanagan J. A., Colley, A. and Keränen, T.: SmartActions: Context-Aware Mobile Phone Shortcuts, In Proc of INTERACT 2009, 796-799 (2009).
11. Kamisaka, D., Muramatsu, S., Yokoyama, H. and Iwamoto, T.: Operation Prediction for Context-Aware User Interfaces of Mobile Phones, In Proc. of Ninth Annual International Symposium on Applications and the Internet, 16-22 (2009).
12. Eagle, N., and Pentland, A.: Reality Mining: Sensing Complex Social Systems, Personal and Ubiquitous Computing 10(4), 255-268 (2006).
13. Froehlich, J. E., et al.: MyExperience: A System for In situ Tracing and Capturing of User Feedback on Mobile Phones, In Proc. of Mobisys'07, 57-70 (2007).
14. Lee, H., Choi, Y. S., and Kim, Y.: An adaptive user interface based on spatiotemporal structure learning, IEEE Communications Magazine, 49(6), 18-124 (2011).
15. Bridle, R. and McCreath, E. Inducing shortcuts on a mobile phone interface, In Proc. of IUI '06. 327-329 (2008).
16. Fukazawa, Y., Hara, M., Onogi, M., and Ueno, H.: Automatic mobile menu customization based on user operation history, In Proc. of MobileHCI, 1-4 (2009).
17. Neapolitan, R.: Learning Bayesian Networks. Prentice Hall (2004).
18. Hwang, K.-S. and Cho, S.-B.: Landmark detection from mobile life log using a modular Bayesian network model, Expert Systems with Applications, 36(10), 12065-12076 (2009).
19. Kullback, S. and Leibler, R., : On information and sufficiency, The Annals of Mathematical Statistics, 22(1), 79-86 (1951).
20. Ashbrook, D. and Starner, T. Using GPS to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing 7(5), 275-286.
21. Launcher Plus, http://code.google.com/p/android-launcherplus/accessed on Sept. 5, 2011.