An adaptive user interface based on spatiotemporal structure learning

IEEE Communications Magazine

Volumn 49, Issue 6, 2011, Pages 118-124

  Lee, Hosub ^a   Choi, Young Sang ^a   Kim, Yeo Jin ^a  

^a SAMSUNG Electronics   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE USER INTERFACE; APPLICATION AREA; BAYESIAN CLASSIFIER; BEST MATCH; CONTEXT INFORMATION; CONTEXT OF USE; CONTEXTUAL VARIABLES; DATA SETS; ENERGY PROBLEM; INFERENCE ALGORITHM; PILOT STUDIES; PROBABILISTIC LEARNING; PROBABILITY MODELS; PROTOTYPE SYSTEM; REAL TIME; SERVER APPLICATIONS; SMART PHONES; SPATIO-TEMPORAL STRUCTURES; STATE OF THE ART; SUPERVISED MACHINE LEARNING; TRAINING DATA; USER INTERFACE PROTOTYPES;

ARTS COMPUTING; HEALTH CARE; INFERENCE ENGINES; JAVA PROGRAMMING LANGUAGE; SIGNAL ENCODING;

USER INTERFACES;

EID: 79958717915     PISSN: 01636804     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCOM.2011.5783996     Document Type: Conference Paper

References (12)

1. Google's Android Market, http://www.android.com/market/.
2. J. Beck, S. H. Han, and J. Park, "Presenting a Submenu Window for Menu Search on a Cellular Phone", Int'l. J. Human-Computer Interaction, vol. 20, issue 3, July 2006, pp. 233-45 (Pubitemid 44077175)
3. iPhone Folders: A New Way to Organize Your Apps, http://www.apple.com/ iphone/features/folders.html
4. A. Sears and B. Shneiderman, "Split Menus: Effectively Using Selection Frequency to Organize Menus", ACM Trans. Computer-Human Interaction, vol. 1, no. 1, 1994, pp. 27-51.
5. Samsung Galaxy S, http://galaxys.samsungmobile.com/.
6. D. Billsus et al., "Adaptive Interfaces for Ubiquitous Web Access", Commun. ACM, vol. 45, issue 5, May 2002.
7. Y. Fukazawa et al., "Automatic Mobile Menu Customization based on User Operation History", Proc. 11th Int'l. Conf. Human-Computer Interaction with Mobile Devices and Services, Industrial Case Studies, no. 50, 2009.
8. D. S. Weld et al., "Automatically Personalizing User Interfaces", Proc. 18th Int'l. Joint Conf. Artificial Intelligence, 2003, pp. 1613-19.
9. C. Busso et al., "Analysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information", Proc. 6th Int'l. Conf. Multimodal Interfaces, Poster session 1, 2004, pp. 205-11. (Pubitemid 40371911)
10. D. Lowd and P. Domingos, "Naive Bayes Models for Probability Estimation", Proc. 22nd Int'l. Conf. Machine Learning, 2005, pp. 529-36. (Pubitemid 43183375)
11. J. Hartigan, Bayes Theory, Springer-Verlag, 1983.
12. Weka 3, http://www.cs.waikato.ac.nz/~ml/weka/.