This study explores the transformative role of artificial intelligence (AI) in enhancing home music listening experiences. We analyzed 96 academic papers to assess AI’s evolution, impact, and technological integration in-home music systems by integrating qualitative and quantitative research methods. Our findings highlight the extensive use of AI in personalizing music experiences through recommendation algorithms and adaptive audio processing, which have significantly improved user interaction and satisfaction. The research identified key trends in AI deployment, revealing a strong focus on enhancing accessibility and user engagement. However, the study also pinpointed substantial gaps, particularly in music’s emotional and contextual adaptation, suggesting potential areas for future development. This paper contributes to understanding AI’s pivotal role in evolving home music listening and proposes directions for future research to bridge identified gaps.
Paper
Full text
Artificial Intelligence and Home Music Listening_An Overview And Future Directions
Semantic Scholar · Computer Science · 2024
Abstract
This study explores the transformative role of artificial intelligence (AI) in enhancing home music listening experiences. We analyzed 96 academic papers to assess AI’s evolution, impact, and technological integration in-home music systems by integrating qualitative and quantitative research methods. Our findings highlight the extensive use of AI in personalizing music experiences through recommendation algorithms and adaptive audio processing, which have significantly improved user interaction and satisfaction. The research identified key trends in AI deployment, revealing a strong focus on enhancing accessibility and user engagement. However, the study also pinpointed substantial gaps, particularly in music’s emotional and contextual adaptation, suggesting potential areas for future development. This paper contributes to understanding AI’s pivotal role in evolving home music listening and proposes directions for future research to bridge identified gaps.