Social robots based on sensor technology simulate user music interaction experience

Social robots, as an important research object in the field of human -computer interaction, have enormous potential in simulating human social behavior and providing personalized services. This study aims to enhance the user experience of music interaction with social robots by constructing a social robot interaction model and combining sensor technology. The study sorted out relevant social psychology theories and methods of emotional computing, as well as theories related to music perception and expression in social robot design. By designing experimental scenarios, the interaction behavior between participants and social robots was observed, combined with gesture sensing processing and speech interaction enhancement processing, to improve the quality and effectiveness of interaction with social robots. We used simulation experiments to simulate the music interaction between users and social robots, in order to verify the reliability and stability of the social robot interaction model. Finally, human -machine electronic music interaction simulation was achieved, and user emotion collection and interaction simulation were carried out. By collecting physiological signals and emotional feedback from users, we have gained a deeper understanding of their emotional experience in music interaction, and through interaction simulation, we have regulated and guided their emotions.