Hybrid intelligent techniques for intelligent personal assistant in digital convergence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently mobile phones have become an essential tool for human communication. As more people use mobile phones, various services based on mobile phone networks and high-end devices have been developed. Smartphone which integrates the functions of personal digital assistant and mobile phone obtains world-wide reputation as new personal business assistant and entertainment equipment because it is all-in-one device: many technologies such as wireless voice/data communication, digital camera, and multi-media player are converged into one device. Especially, with the rise of the concept of ubiquitous computing, the demand for personalized intelligent service on mobile devices gets higher. However, current mobile devices have constraints of limited processing power, and awkward interaction devices. We are in need of putting together available AI techniques to cope with these constraints and realize intelligent services in digital convergence. There are three major issues in implementing intelligent service in constrained environment: The first is to gather information which provides meaningful features for user's state. Requiring directly explicit information from user can never be an intelligent technique. Niche technique should be able to provide sufficient information without bothering the user and invading the user's privacy. The second is to infer and predict user's state from collected data. Predicting user's state from data can be formulated as conventional classification task. Many AI techniques have been successfully applied to this problem. The third is service selection or composition. We can select one service from pre-defined service library or compose novel services appropriate to user's state inferred dynamically. In this talk, we will review the state-of-the-art of research efforts to develop intelligent personal assistant with hybrid intelligent techniques, and present some prototype systems implemented in Soft computing labs in Yonsei University based on a novel framework of hybridizing several intelligent techniques.

Original languageEnglish
Title of host publicationProceedings - HIS'04
Subtitle of host publication4th International Conference on Hybrid Intelligent Systems
EditorsM. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D.M. Corne, A. Abraham
Number of pages1
Publication statusPublished - 2005 Dec 9
EventProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems - Kitakyushu, Japan
Duration: 2004 Dec 52004 Dec 8

Publication series

NameProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems

Other

OtherProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
CountryJapan
CityKitakyushu
Period04/12/504/12/8

Fingerprint

Intelligent agents
Mobile phones
Mobile devices
Soft computing
Smartphones
Communication
Personal digital assistants
Ubiquitous computing
Digital cameras
Processing
Chemical analysis
Industry

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Cho, S. B. (2005). Hybrid intelligent techniques for intelligent personal assistant in digital convergence. In M. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D. M. Corne, ... A. Abraham (Eds.), Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems (Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems).
Cho, Sung Bae. / Hybrid intelligent techniques for intelligent personal assistant in digital convergence. Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. editor / M. Ishikawa ; S. Hashimoto ; M. Paprzycki ; E. Barakova ; K. Yoshida ; M. Koppen ; D.M. Corne ; A. Abraham. 2005. (Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems).
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title = "Hybrid intelligent techniques for intelligent personal assistant in digital convergence",
abstract = "Recently mobile phones have become an essential tool for human communication. As more people use mobile phones, various services based on mobile phone networks and high-end devices have been developed. Smartphone which integrates the functions of personal digital assistant and mobile phone obtains world-wide reputation as new personal business assistant and entertainment equipment because it is all-in-one device: many technologies such as wireless voice/data communication, digital camera, and multi-media player are converged into one device. Especially, with the rise of the concept of ubiquitous computing, the demand for personalized intelligent service on mobile devices gets higher. However, current mobile devices have constraints of limited processing power, and awkward interaction devices. We are in need of putting together available AI techniques to cope with these constraints and realize intelligent services in digital convergence. There are three major issues in implementing intelligent service in constrained environment: The first is to gather information which provides meaningful features for user's state. Requiring directly explicit information from user can never be an intelligent technique. Niche technique should be able to provide sufficient information without bothering the user and invading the user's privacy. The second is to infer and predict user's state from collected data. Predicting user's state from data can be formulated as conventional classification task. Many AI techniques have been successfully applied to this problem. The third is service selection or composition. We can select one service from pre-defined service library or compose novel services appropriate to user's state inferred dynamically. In this talk, we will review the state-of-the-art of research efforts to develop intelligent personal assistant with hybrid intelligent techniques, and present some prototype systems implemented in Soft computing labs in Yonsei University based on a novel framework of hybridizing several intelligent techniques.",
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Cho, SB 2005, Hybrid intelligent techniques for intelligent personal assistant in digital convergence. in M Ishikawa, S Hashimoto, M Paprzycki, E Barakova, K Yoshida, M Koppen, DM Corne & A Abraham (eds), Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems, Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems, Kitakyushu, Japan, 04/12/5.

Hybrid intelligent techniques for intelligent personal assistant in digital convergence. / Cho, Sung Bae.

Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. ed. / M. Ishikawa; S. Hashimoto; M. Paprzycki; E. Barakova; K. Yoshida; M. Koppen; D.M. Corne; A. Abraham. 2005. (Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Recently mobile phones have become an essential tool for human communication. As more people use mobile phones, various services based on mobile phone networks and high-end devices have been developed. Smartphone which integrates the functions of personal digital assistant and mobile phone obtains world-wide reputation as new personal business assistant and entertainment equipment because it is all-in-one device: many technologies such as wireless voice/data communication, digital camera, and multi-media player are converged into one device. Especially, with the rise of the concept of ubiquitous computing, the demand for personalized intelligent service on mobile devices gets higher. However, current mobile devices have constraints of limited processing power, and awkward interaction devices. We are in need of putting together available AI techniques to cope with these constraints and realize intelligent services in digital convergence. There are three major issues in implementing intelligent service in constrained environment: The first is to gather information which provides meaningful features for user's state. Requiring directly explicit information from user can never be an intelligent technique. Niche technique should be able to provide sufficient information without bothering the user and invading the user's privacy. The second is to infer and predict user's state from collected data. Predicting user's state from data can be formulated as conventional classification task. Many AI techniques have been successfully applied to this problem. The third is service selection or composition. We can select one service from pre-defined service library or compose novel services appropriate to user's state inferred dynamically. In this talk, we will review the state-of-the-art of research efforts to develop intelligent personal assistant with hybrid intelligent techniques, and present some prototype systems implemented in Soft computing labs in Yonsei University based on a novel framework of hybridizing several intelligent techniques.

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Cho SB. Hybrid intelligent techniques for intelligent personal assistant in digital convergence. In Ishikawa M, Hashimoto S, Paprzycki M, Barakova E, Yoshida K, Koppen M, Corne DM, Abraham A, editors, Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. 2005. (Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems).