TY - CHAP
T1 - A Case Study in Collaborative Learning via Participatory Music Interactive Systems
T2 - Interactive Tango Milonga
AU - Brown, Courtney
AU - Paine, Garth
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - This chapter investigates design strategies for developing digital musical instruments (DMIs) for participatory music. In particular, we present strategies to enhance collaborative musical skills such as rhythmic entrainment and listening/responding to other participants: building skills of this kind has the capacity to motivate long-term usage and adoption of the DMI by a broad range of communities. The design strategies described here address the problems of developing DMIs for long-term use, both in collaborative, mixed skill level contexts, and in established musical and dance traditions. Interactive Tango Milonga—presented here as a case study—is an interactive dance system allowing social tango dancers to drive musical outcomes in real-time via their dance movement. Motion sensors are attached to dancers, and the signals from these sensors are sent to a computer, where an algorithm transforms them into tango music. The impact of the interactive tango system on the musical listening and response of tango dancer participants is analyzed and discussed.
AB - This chapter investigates design strategies for developing digital musical instruments (DMIs) for participatory music. In particular, we present strategies to enhance collaborative musical skills such as rhythmic entrainment and listening/responding to other participants: building skills of this kind has the capacity to motivate long-term usage and adoption of the DMI by a broad range of communities. The design strategies described here address the problems of developing DMIs for long-term use, both in collaborative, mixed skill level contexts, and in established musical and dance traditions. Interactive Tango Milonga—presented here as a case study—is an interactive dance system allowing social tango dancers to drive musical outcomes in real-time via their dance movement. Motion sensors are attached to dancers, and the signals from these sensors are sent to a computer, where an algorithm transforms them into tango music. The impact of the interactive tango system on the musical listening and response of tango dancer participants is analyzed and discussed.
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U2 - 10.1007/978-3-319-92069-6_18
DO - 10.1007/978-3-319-92069-6_18
M3 - Chapter
AN - SCOPUS:85067974083
T3 - Springer Series on Cultural Computing
SP - 285
EP - 306
BT - Springer Series on Cultural Computing
PB - Springer
ER -