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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Bimonthly
DOI:
10.12720/jcm
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Acceptance Rate:
27%
APC:
800 USD
Average Days to Accept:
88 days
3.4
2023
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
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Home
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2017
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Volume 12, No. 2, February 2017
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Crowd Naturalness Driven Mobile Cognition Scheme in Human Computer Interaction Dialogue System
Qin Qin and Yong-qiang He
College of Computer, Henan University of Engineering, Henan, Zhengzhou 450007 China
Abstract
—In order to improve the quality and efficiency of the system, we proposed a mobile cognitive mechanism based on crowd. In order to meet the users and complete tasks in real time, based on the intelligent interaction of human and machine, the dialogue system can be adapted to the work situation and the allocation of resources. In addition, in order to meet the needs of intelligent interactive dialogue system, we give a method for computing the natural degree of human computer interaction in time domain and spatial domain. Based on the natural degree of crowd, a mobile cognitive mechanism is proposed, which is suitable for the interactive dialogue system. Simulation results verify the effectiveness and feasibility of the proposed scheme.
Index Terms
—Human computer interaction, naturalness driven, crowd mobile cognition, dialogue accuracy
Cite: Qin Qin and Yong-qiang He, "Crowd Naturalness Driven Mobile Cognition Scheme in Human Computer Interaction Dialogue System," Journal of Communications, vol. 12, no. 2, pp. 118-122, 2017. Doi: 10.12720/jcm.12.2.118-122
6-JCM-MBDC-16
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