Emerging Technologies in Music Cognition, Learning, and Performance

Music cognition investigates how prediction, anticipation, attention, memory, sensorimotor processes, physiological regulation, and expressive control support musical learning, expertise, performance, and interaction. Music therefore offers a distinctive setting for examining cognition as an embodied, situated, and socially coordinated activity. Recent advances in artificial intelligence, eye tracking, physiological sensing, biofeedback, motion capture, wearable devices, and multimodal data analysis have enabled increasingly precise investigations of these processes across individual and collective musical contexts. However, important questions remain regarding how cognitive, embodied, sensorimotor, and physiological mechanisms develop across childhood, advanced training, and professional expertise. The field also continues to debate how these processes should be measured and integrated, how technology-mediated observations relate to ecologically valid musical activity, and how individual mechanisms contribute to interpersonal synchronization and ensemble coordination. Although emerging technologies are beginning to support adaptive practice and performance, their application across diverse stages of musical development and forms of musical interaction remains uneven. Further research is needed to integrate multimodal evidence and clarify how technology can both reveal and support the mechanisms underlying musical learning, expertise, performance, and coordination.This Research Topic aims to advance an integrated understanding of how emerging and multimodal technologies can investigate, interpret, and support the cognitive, embodied, sensorimotor, and physiological foundations of musical learning, expertise, performance, and interaction. It seeks to examine how these technologies reveal predictive and anticipatory processes, attention, memory, metacognition, expressive control, physiological regulation, synchronization, and joint action across individual and collective musical activity. Contributions may also address whether technology-enabled monitoring, biofeedback, adaptive systems, and artificial intelligence can facilitate self-regulated learning, expertise development, performance preparation, and coordination among musicians, instruments, environments, and audiences.To gather further insights in technology-enabled research on music cognition, learning, expertise, performance, interaction, and coordination, this Research Topic welcomes articles addressing, but not limited to, the following themes:-Multimodal approaches to music learning, performance, and expertise-Multimodal sensing, data integration, and analysis of musical behavior-Emerging technologies for investigating music cognition-Eye tracking and visual cognition in music reading and performance-Technology-enabled investigation of predictive processing and anticipatory mechanisms in music-Wearable technologies and physiological computing in music learning, expertise, and performance-Biofeedback and physiological regulation in musical learning and performance-Multimodal and sensor-based approaches to embodied cognition and sensorimotor coordination in music-Artificial intelligence, adaptive music systems, and human–technology interaction in music learning and performance-Technology-supported self-regulated learning and metacognition in music-Technology-assisted assessment of physiological and sensorimotor regulation in music performance and expertise development-Multimodal investigation of interpersonal synchronization, joint action, and ensemble coordination-Technology-supported shared attention and collaborative musical learning-Technology-mediated musical interaction-Multimodal sensing of physiological coupling among musical performers and audiences Topic editors: Michel A. Cara, Laura Bishop, Carlos Eduardo Cancino-Chacón Source: https://www.frontiersin.org/research-topics/84272/emerging-technologies-in-music-cognition-learning-and-performance