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1796-2021 (Online); 2374-4367 (Print)
Prof. Maode Ma
Prof. Jalel Ben-Othman, Prof. Nobuo Funabiki
Prof. Jason Z. Kang
or comments to
Assoc. Prof. Maode Ma
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
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...
Welcome Prof. Abdelhalim Zekry from Egypt to join the Editorial board of JCM.
Volume 15, No. 6 have both been indexed by Scopus.
Volume 15, No. 7 has been published online!
Volume 12, No. 2, February 2017
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
—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.
—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
Real Time Virtual Animation Reconstruction Algorithm Based on Perception of Random Human Behavior and Collision Prediction
The Decision Support System by Optimization and Dynamic Analysis for Transportation Routing
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