TY - GEN
T1 - Modeling of music recommendation methods to promote the user's singing motivation - For next-generation japanese karaoke systems
AU - Isogai, Satoshi
AU - Nakanishi, Miwa
PY - 2013
Y1 - 2013
N2 - This study attempted to build a model that recommends music choices to encourage karaoke-system users to sing by using data about the music preferences and inner characteristics of each user. First, we conducted an auditory experiment in two phases. Additionally, we analysed the acoustics and lyrics of music pieces. Using these data, we built a map of the music based on user impressions, and used this map to reveal the relationship between the user's most favourite music piece and the music piece that a user was highly motivated to sing. Thus, we were able to establish a basic model of the system that recommends the music piece a user would be highly motivated to sing.
AB - This study attempted to build a model that recommends music choices to encourage karaoke-system users to sing by using data about the music preferences and inner characteristics of each user. First, we conducted an auditory experiment in two phases. Additionally, we analysed the acoustics and lyrics of music pieces. Using these data, we built a map of the music based on user impressions, and used this map to reveal the relationship between the user's most favourite music piece and the music piece that a user was highly motivated to sing. Thus, we were able to establish a basic model of the system that recommends the music piece a user would be highly motivated to sing.
KW - karaoke system
KW - music recommendation
KW - singing motivation
UR - http://www.scopus.com/inward/record.url?scp=84880856399&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880856399&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39209-2_50
DO - 10.1007/978-3-642-39209-2_50
M3 - Conference contribution
AN - SCOPUS:84880856399
SN - 9783642392085
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 439
EP - 448
BT - Human Interface and the Management of Information
PB - Springer Verlag
T2 - 15th International Conference on Human Interface and the Management of Information: Information and Interaction Design, HCI 2013
Y2 - 21 July 2013 through 26 July 2013
ER -