| Abstract |
Music technology has embraced Artificial Intelligence as part of its evolution. This work investigates a new facet of this relationship, examining AI-driven virtual musicians in networked music experiences. Responding to an increased popularity due to the COVID-19 pandemic, networked music enables musicians to meet virtually, unhindered by many geographical restrictions. This work begins to extend existing research that has focused on networked human-human interaction by exploring AI-driven virtual musicians’ integration into online jam sessions. Preliminary feedback from a public demonstration of the system suggests that despite varied understanding levels and potential distractions, participants generally felt their partner’s presence, were task-oriented, and enjoyed the experience. This pilot aims to open opportunities for improving networked musical experiences with virtual AI-driven musicians and informs directions for future studies with the system. |
| Authors |
Torin Hopkins , Rishi Vanukuru  , Suibi Che Chuan Weng , Chad Tobin , Amy Banić  , Mark D. Gross , Ellen Yi–Luen
|
| Journal Info |
Not listed | 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
|
| Publication Date |
10/16/2023 |
| ISSN |
Not listed |
Type |
article |
| Open Access |
closed
|
| DOI |
https://doi.org/10.1109/ismar-adjunct60411.2023.00162 |
| Keywords |
Music Perception (Score: 0.513182)
|
