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Wang Zhi-liang
University of Science and Technology Beijing

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Artificial Emotion Engine Benchmark Problem Based on Psychological Test Paradigm Wang Yi; Wang Zhi-liang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Most of testing and evaluations of emotion model in the field of affective computing are self-evaluation, which aims at the application-specific background, while the research on the problem of the Benchmark emotional model is scarce. This paper firstly proposed the feasibility of making psychological test paradigm a part of artificial Benchmark engine, and with taking versatility and effectiveness as the evolutional factor to judge the engine by testing psychological paradigms. In addition, an emotional hidden Markov model is built and tested based on the Benchmark theory. The detailed simulation process of the experiment is given.  The testing resultants are coincide with the real world’s situation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3067
Co-Authors Wang Yi