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April 1, 2026IET conference proceedings.

Research on algorithm-driven robot aided system for intelligent art appreciation teaching

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Authors

QSQingyuan ShiSGShichao Guo

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Overview

Research develops an algorithm-driven robot system that enhances art appreciation outcomes in education, suggesting improved learning engagement.

Key Points

  • The study aims to improve art appreciation teaching through a robot-aided, algorithm-driven system.
  • Developed a semantic analysis model based on deep learning to categorize art works and assess emotional responses.
  • Designed a robot capable of multimodal interactions, including voice and gestures.
  • Constructed a modular architecture including analysis, interaction, teaching strategy, and execution modules.
  • The system achieved high accuracy in art works analysis and a fast response in interactions.
  • Students using the system showed increased aesthetic ability, higher classroom participation, and greater creativity compared to a control group.

Cite This Study

Shi et al. (2026) studied this question.

synapsesocial.com/papers/69ccb66716edfba7beb88133https://doi.org/10.1049/icp.2026.0160
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