Automatic navigation among mobile DTV services

Chengyuan Peng; Petri Vuorimaa

doi:10.5220/0002629501400145

Automatic navigation among mobile DTV services

Chengyuan Peng^*
, Petri Vuorimaa

^*Corresponding author for this work

Not published at VTT

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
Editors	I. Seruca, J. Filipe, S. Hammoudi, J. Cordeiro
Publisher	SciTePress
Pages	140-145
Number of pages	6
ISBN (Print)	9728865007
DOIs	https://doi.org/10.5220/0002629501400145
Publication status	Published - 23 Nov 2004
MoE publication type	A4 Article in a conference publication
Event	6th International Conference on Enterprise Information Systems, ICEIS 2004 - Porto, Portugal Duration: 14 Apr 2004 → 17 Apr 2004

Conference

Conference	6th International Conference on Enterprise Information Systems, ICEIS 2004
Country/Territory	Portugal
City	Porto
Period	14/04/04 → 17/04/04

Keywords

Automatic navigation
Button prediction
Exploration
Intelligent user interface
Reinforcement learning

Access to Document

10.5220/0002629501400145

Cite this

@inproceedings{c1c0a111480e4d44ad381ae6fdfcb89d,

title = "Automatic navigation among mobile DTV services",

abstract = "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.",

keywords = "Automatic navigation, Button prediction, Exploration, Intelligent user interface, Reinforcement learning",

author = "Chengyuan Peng and Petri Vuorimaa",

year = "2004",

month = nov,

day = "23",

doi = "10.5220/0002629501400145",

language = "English",

isbn = "9728865007",

pages = "140--145",

editor = "I. Seruca and J. Filipe and S. Hammoudi and J. Cordeiro",

booktitle = "ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems",

publisher = "SciTePress",

address = "Portugal",

note = "6th International Conference on Enterprise Information Systems, ICEIS 2004 ; Conference date: 14-04-2004 Through 17-04-2004",

}

Peng, C & Vuorimaa, P 2004, Automatic navigation among mobile DTV services. in I Seruca, J Filipe, S Hammoudi & J Cordeiro (eds), ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems. SciTePress, pp. 140-145, 6th International Conference on Enterprise Information Systems, ICEIS 2004, Porto, Portugal, 14/04/04. https://doi.org/10.5220/0002629501400145

Automatic navigation among mobile DTV services. / Peng, Chengyuan; Vuorimaa, Petri.
ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems. ed. / I. Seruca; J. Filipe; S. Hammoudi; J. Cordeiro. SciTePress, 2004. p. 140-145.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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AU - Peng, Chengyuan

AU - Vuorimaa, Petri

PY - 2004/11/23

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N2 - 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.

AB - 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.

KW - Automatic navigation

KW - Button prediction

KW - Exploration

KW - Intelligent user interface

KW - Reinforcement learning

UR - https://www.scopus.com/pages/publications/8444233936

U2 - 10.5220/0002629501400145

DO - 10.5220/0002629501400145

M3 - Conference article in proceedings

AN - SCOPUS:8444233936

SN - 9728865007

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EP - 145

BT - ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems

A2 - Seruca, I.

A2 - Filipe, J.

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A2 - Cordeiro, J.

PB - SciTePress

T2 - 6th International Conference on Enterprise Information Systems, ICEIS 2004

Y2 - 14 April 2004 through 17 April 2004

ER -

Automatic navigation among mobile DTV services

Abstract

Conference

Keywords

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