Automatic navigation among mobile DTV services

Chengyuan Peng, Petri Vuorimaa

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

1 Citation (Scopus)


Limited number of input buttons on a mobile device, such as mobile phones and PDAs, restricts people's access to digital broadcast services. In this paper, we present a reinforcement learning approach to automatically navigating among services in mobile digital television systems. Our approach uses standard Q-learning algorithm as a theory basis to predict next button for the user by learning usage patterns from interaction experiences. We did the experiment using a modified algorithm in test system. The experimental results demonstrate that the performance is good and the method is feasible and appropriate in practice.

Original languageEnglish
Title of host publicationICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
EditorsI. Seruca, J. Filipe, S. Hammoudi, J. Cordeiro
Number of pages6
ISBN (Print)9728865007
Publication statusPublished - 23 Nov 2004
MoE publication typeA4 Article in a conference publication
Event6th International Conference on Enterprise Information Systems, ICEIS 2004 - Porto, Portugal
Duration: 14 Apr 200417 Apr 2004


Conference6th International Conference on Enterprise Information Systems, ICEIS 2004


  • Automatic navigation
  • Button prediction
  • Exploration
  • Intelligent user interface
  • Reinforcement learning


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