Research on emotional interaction and user cognition

Weiqiang Ying; Lingyan Zhang; Lanqing Huang; Luoshi Jian; Chen Yao; Fangtian Ying

doi:10.1117/12.3009262

11 October 2023 Research on emotional interaction and user cognition

Weiqiang Ying, Lingyan Zhang, Lanqing Huang, Luoshi Jian, Chen Yao, Fangtian Ying

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181O (2023) https://doi.org/10.1117/12.3009262
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

This paper focuses on the field of emotional interaction, specifically using text data to evaluate expressed emotions. It aims to assess the emotional state of humans in order to determine how robots should adjust their behavior. To detect emotions in text data, various methods and algorithms can be utilized. In this study, the authors combine dictionary methods with machine learning algorithms for emotion detection. However, emotion labels are often vague and subjective, leading to a multi-label problem. To address this, the paper conducts experiments using naive Bayes, support vector machine, and neural network classifiers. Although the accuracy of emotion classification is low, the study demonstrates the importance of specific words in expressing emotions.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weiqiang Ying, Lingyan Zhang, Lanqing Huang, Luoshi Jian, Chen Yao, and Fangtian Ying "Research on emotional interaction and user cognition", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181O (11 October 2023); https://doi.org/10.1117/12.3009262

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