Personal Event Management among Multiple Devices Based on User Intention Recognition Using Dynamic Bayesian Networks
Summary :
This paper proposes a proactive management system for the events that occur across multiple personal user devices, including desktop PCs, laptops, and smart phones. We implemented the Personal Event Management Service using Dynamic Bayesian Networks (PEMS-DBN) system that proactively executes appropriate tasks across multiple devices without explicit user requests by recognizing the user's device reuse intention, based on the observed actions of the user for specific devices. The client module of PEMS-DBN installed on each device monitors the user actions and recognizes user intention by using dynamic Bayesian networks. The server provides data sharing and maintenance for the clients. A series of experiments were performed to evaluate user satisfaction and system accuracy, and also the amounts of resource consumption during intention recognition and proactive execution are measured to ensure the system efficiency. The experimental results showed that the PEMS-DBN system can proactively provide appropriate, personalized services with a high degree of satisfaction to the user in an effective and efficient manner.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.7 pp.1440-1448
- Publication Date
- 2011/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.1440
- Type of Manuscript
- PAPER
- Category
- Artificial Intelligence, Data Mining
Authors
Keyword
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Hocheol JEON, Taehwan KIM, Joongmin CHOI, "Personal Event Management among Multiple Devices Based on User Intention Recognition Using Dynamic Bayesian Networks" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 7, pp. 1440-1448, July 2011, doi: 10.1587/transinf.E94.D.1440.
Abstract: This paper proposes a proactive management system for the events that occur across multiple personal user devices, including desktop PCs, laptops, and smart phones. We implemented the Personal Event Management Service using Dynamic Bayesian Networks (PEMS-DBN) system that proactively executes appropriate tasks across multiple devices without explicit user requests by recognizing the user's device reuse intention, based on the observed actions of the user for specific devices. The client module of PEMS-DBN installed on each device monitors the user actions and recognizes user intention by using dynamic Bayesian networks. The server provides data sharing and maintenance for the clients. A series of experiments were performed to evaluate user satisfaction and system accuracy, and also the amounts of resource consumption during intention recognition and proactive execution are measured to ensure the system efficiency. The experimental results showed that the PEMS-DBN system can proactively provide appropriate, personalized services with a high degree of satisfaction to the user in an effective and efficient manner.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.1440/_p
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@ARTICLE{e94-d_7_1440,
author={Hocheol JEON, Taehwan KIM, Joongmin CHOI, },
journal={IEICE TRANSACTIONS on Information},
title={Personal Event Management among Multiple Devices Based on User Intention Recognition Using Dynamic Bayesian Networks},
year={2011},
volume={E94-D},
number={7},
pages={1440-1448},
abstract={This paper proposes a proactive management system for the events that occur across multiple personal user devices, including desktop PCs, laptops, and smart phones. We implemented the Personal Event Management Service using Dynamic Bayesian Networks (PEMS-DBN) system that proactively executes appropriate tasks across multiple devices without explicit user requests by recognizing the user's device reuse intention, based on the observed actions of the user for specific devices. The client module of PEMS-DBN installed on each device monitors the user actions and recognizes user intention by using dynamic Bayesian networks. The server provides data sharing and maintenance for the clients. A series of experiments were performed to evaluate user satisfaction and system accuracy, and also the amounts of resource consumption during intention recognition and proactive execution are measured to ensure the system efficiency. The experimental results showed that the PEMS-DBN system can proactively provide appropriate, personalized services with a high degree of satisfaction to the user in an effective and efficient manner.},
keywords={},
doi={10.1587/transinf.E94.D.1440},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - Personal Event Management among Multiple Devices Based on User Intention Recognition Using Dynamic Bayesian Networks
T2 - IEICE TRANSACTIONS on Information
SP - 1440
EP - 1448
AU - Hocheol JEON
AU - Taehwan KIM
AU - Joongmin CHOI
PY - 2011
DO - 10.1587/transinf.E94.D.1440
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2011
AB - This paper proposes a proactive management system for the events that occur across multiple personal user devices, including desktop PCs, laptops, and smart phones. We implemented the Personal Event Management Service using Dynamic Bayesian Networks (PEMS-DBN) system that proactively executes appropriate tasks across multiple devices without explicit user requests by recognizing the user's device reuse intention, based on the observed actions of the user for specific devices. The client module of PEMS-DBN installed on each device monitors the user actions and recognizes user intention by using dynamic Bayesian networks. The server provides data sharing and maintenance for the clients. A series of experiments were performed to evaluate user satisfaction and system accuracy, and also the amounts of resource consumption during intention recognition and proactive execution are measured to ensure the system efficiency. The experimental results showed that the PEMS-DBN system can proactively provide appropriate, personalized services with a high degree of satisfaction to the user in an effective and efficient manner.
ER -
English
