Natural language-based user interface for mobile devices with limited resources

So Young Park, Jeunghyun Byun, Hae-Chang Rim, Do Gil Lee, Heui Seok Lim

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In this paper, we propose a natural languagebased interface model to enable a user to articulate a request without having any specific knowledge about a mobile device. In consideration of the very limited computing and memory capacity of the mobile device and to keep the development cost low, the proposed model does not depend on typical natural language techniques, but on a ranking technique, that is simplified based on the mathematical derivation process with the following assumptions. One assumption is that a device control command consists of a function and its parameters. The other assumption is that the parameter is represented as few predictable patterns, whereas the function can be represented as various sentence patterns. To deal with these various sentence patterns, the proposed model selects the top ranked command candidate with the highest score after generating all possible candidates with their scores. Furthermore, the ranking score function is designed to achieve a high discriminative capability by the simulation of the process of generating every candidate. Experimental results show that the proposed model with 2.9 megabytes performs at 96.27% accuracy, which is slightly lower than 97.06% of the baseline model with 135.2 megabytes.

Original languageEnglish
Article number5681076
Pages (from-to)2086-2092
Number of pages7
JournalIEEE Transactions on Consumer Electronics
Volume56
Issue number4
DOIs
Publication statusPublished - 2010 Nov 1

Fingerprint

Mobile devices
User interfaces
Data storage equipment
Costs

Keywords

  • Embedded Approach
  • Mobile Devices
  • Natural Language Processing
  • User Interface

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology

Cite this

Natural language-based user interface for mobile devices with limited resources. / Park, So Young; Byun, Jeunghyun; Rim, Hae-Chang; Lee, Do Gil; Lim, Heui Seok.

In: IEEE Transactions on Consumer Electronics, Vol. 56, No. 4, 5681076, 01.11.2010, p. 2086-2092.

Research output: Contribution to journalArticle

@article{8b823684a7dd4f1ab5587e128c6de25c,
title = "Natural language-based user interface for mobile devices with limited resources",
abstract = "In this paper, we propose a natural languagebased interface model to enable a user to articulate a request without having any specific knowledge about a mobile device. In consideration of the very limited computing and memory capacity of the mobile device and to keep the development cost low, the proposed model does not depend on typical natural language techniques, but on a ranking technique, that is simplified based on the mathematical derivation process with the following assumptions. One assumption is that a device control command consists of a function and its parameters. The other assumption is that the parameter is represented as few predictable patterns, whereas the function can be represented as various sentence patterns. To deal with these various sentence patterns, the proposed model selects the top ranked command candidate with the highest score after generating all possible candidates with their scores. Furthermore, the ranking score function is designed to achieve a high discriminative capability by the simulation of the process of generating every candidate. Experimental results show that the proposed model with 2.9 megabytes performs at 96.27{\%} accuracy, which is slightly lower than 97.06{\%} of the baseline model with 135.2 megabytes.",
keywords = "Embedded Approach, Mobile Devices, Natural Language Processing, User Interface",
author = "Park, {So Young} and Jeunghyun Byun and Hae-Chang Rim and Lee, {Do Gil} and Lim, {Heui Seok}",
year = "2010",
month = "11",
day = "1",
doi = "10.1109/TCE.2010.5681076",
language = "English",
volume = "56",
pages = "2086--2092",
journal = "IEEE Transactions on Consumer Electronics",
issn = "0098-3063",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

TY - JOUR

T1 - Natural language-based user interface for mobile devices with limited resources

AU - Park, So Young

AU - Byun, Jeunghyun

AU - Rim, Hae-Chang

AU - Lee, Do Gil

AU - Lim, Heui Seok

PY - 2010/11/1

Y1 - 2010/11/1

N2 - In this paper, we propose a natural languagebased interface model to enable a user to articulate a request without having any specific knowledge about a mobile device. In consideration of the very limited computing and memory capacity of the mobile device and to keep the development cost low, the proposed model does not depend on typical natural language techniques, but on a ranking technique, that is simplified based on the mathematical derivation process with the following assumptions. One assumption is that a device control command consists of a function and its parameters. The other assumption is that the parameter is represented as few predictable patterns, whereas the function can be represented as various sentence patterns. To deal with these various sentence patterns, the proposed model selects the top ranked command candidate with the highest score after generating all possible candidates with their scores. Furthermore, the ranking score function is designed to achieve a high discriminative capability by the simulation of the process of generating every candidate. Experimental results show that the proposed model with 2.9 megabytes performs at 96.27% accuracy, which is slightly lower than 97.06% of the baseline model with 135.2 megabytes.

AB - In this paper, we propose a natural languagebased interface model to enable a user to articulate a request without having any specific knowledge about a mobile device. In consideration of the very limited computing and memory capacity of the mobile device and to keep the development cost low, the proposed model does not depend on typical natural language techniques, but on a ranking technique, that is simplified based on the mathematical derivation process with the following assumptions. One assumption is that a device control command consists of a function and its parameters. The other assumption is that the parameter is represented as few predictable patterns, whereas the function can be represented as various sentence patterns. To deal with these various sentence patterns, the proposed model selects the top ranked command candidate with the highest score after generating all possible candidates with their scores. Furthermore, the ranking score function is designed to achieve a high discriminative capability by the simulation of the process of generating every candidate. Experimental results show that the proposed model with 2.9 megabytes performs at 96.27% accuracy, which is slightly lower than 97.06% of the baseline model with 135.2 megabytes.

KW - Embedded Approach

KW - Mobile Devices

KW - Natural Language Processing

KW - User Interface

UR - http://www.scopus.com/inward/record.url?scp=78651393750&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78651393750&partnerID=8YFLogxK

U2 - 10.1109/TCE.2010.5681076

DO - 10.1109/TCE.2010.5681076

M3 - Article

AN - SCOPUS:78651393750

VL - 56

SP - 2086

EP - 2092

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

SN - 0098-3063

IS - 4

M1 - 5681076

ER -