First Insights into Hybrid AI-Fuzzy Tutoring System for Boredom Identification
12th International Conference on Computer Supported Education (CSEDU 2020): Proceedings. Vol.2 2020
Viktors Zagorskis, Ingrīda Lavrinoviča, Atis Kapenieks

In this paper, we introduce the Hybrid AI-Fuzzy Intelligent Control (HAFiC) system prototype. The proposed model is the add-on to online learning-tutoring environments to proactively detect learners’ emotional states by measuring performance gaining or degradation in a game-like form. We introduce a system model and experimental results implementing recently proposed Simple Algorithm for Boredom Identification (SABI) (Zagorskis et al.,2019) along with the Fuzzy Intelligent control approach to evaluate whether proposed indirect data acquisition method allows retrieving performance data variability in correspondence to real user emotional states. In the proposed system, the AI part cares about Image Processing and Text Recognition gathered from mobile-handwriting devices. In contrast, Fuzzy Expert System part organises users’ performance data utilization and decision making based on adaptive fuzzy inference approach. First experiment results described.


Keywords
E-leaning Quality, Computer Agent, Artificial intelligence, Emotions Recognition, Fuzzy Intelligent Control
DOI
10.5220/0009413203200326
Hyperlink
https://www.scitepress.org/Link.aspx?doi=10.5220/0009413203200326

Zagorskis, V., Lavrinoviča, I., Kapenieks, A. First Insights into Hybrid AI-Fuzzy Tutoring System for Boredom Identification. In: 12th International Conference on Computer Supported Education (CSEDU 2020): Proceedings. Vol.2, Czech Republic, Prague, 2-4 May, 2020. [S.l.]: SciTePress, 2020, pp.320-326. ISBN 978-989-758-417-6. Available from: doi:10.5220/0009413203200326

Publication language
English (en)
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