Influence of Human-Computer Interaction-Based Intelligent Dancing Robot and Psychological Construct on Choreography

Area of Science:

• Robotics
• Artificial Intelligence
• Choreography

Background:

• The integration of Artificial Intelligence (AI) into robotics presents new avenues for creative expression in fields like dance.
• Developing intelligent systems capable of generating novel artistic content, such as dance choreography, remains a significant challenge.

Purpose of the Study:

• To introduce and evaluate an AI-driven model for robot-imagined choreography.
• To assess the model's ability to generate innovative dance elements by imitating human cognitive processes.

Main Methods:

• A biped-humanoid robot-imagined choreography model was developed using deep learning, incorporating Psychological Space Construction and Human-Computer Interaction principles.
• Simulation experiments were conducted to test the model's effectiveness in creating new dance movements.
• Dance professionals evaluated the originality and fidelity of robot-generated dance postures.

Main Results:

• The AI model successfully imitated human dancers and generated novel dance movements.
• New dance elements created for the L1 (head) and L2 (upper-body) regions demonstrated high scores for feature retention and innovation.
• Specifically, L1 elements achieved average scores of 7.29 (retention) and 7.64 (innovation), while L2 elements scored 7.73 (retention) and 7.40 (innovation).

Conclusions:

• The proposed intelligent robot-choreography model effectively assists dancing robots in creating intricate choreography.
• The AI model enhances choreography efficiency and holds significant practical value for dance education and performance.