Artificial Emotion Engine Benchmark Problem Based on Psychological Test Paradigm

Wang Yi, Wang Zhi-liang

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


Keywords


Affective Computing; Artificial Emotion; Benchmark; Hidden Markov Model

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics