TY - GEN
T1 - Monitoring and supporting engagement in skilled tasks
T2 - 14th Sound and Music Computing Conference, SMC 2017
AU - Vasquez, Juan Carlos
AU - Tahiroglu, Koray
AU - Pöllönen, Niklas
AU - Kildal, Johan
AU - Ahmaniemi, Teemu
N1 - Publisher Copyright:
© 2017 Juan Carlos Vasquez, Koray Tahiroglu, Niklas Pöllönen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2019
Y1 - 2019
N2 - While good physical health receives more attention, psychological wellbeing is an essential component of a happy existence. An everyday source of psychological wellbeing is the voluntary practice of skilled activities one is good at. Taking musical creation as one such skilled activity, in this work we employ an interaction method to monitor varying levels of engagement of musicians improvising on a desktop robotic musical interface (a network of intelligent sonic agents). The system observes the performer and estimates her/his changing level of engagement during the performance, while learning the musical discourse. When engagement levels drop, the musical instrument makes subtle interventions, coherent with the compositional process, until the performer's engagement levels recover. In a user study, we observed and measured the behaviour of our system as it deals with losses of performer focus provoked by the controlled introduction of external distractors. We also observed that being engaged in our musical creative activity contributed positively to participants' psychological wellbeing. This approach can be extended to other human activities.
AB - While good physical health receives more attention, psychological wellbeing is an essential component of a happy existence. An everyday source of psychological wellbeing is the voluntary practice of skilled activities one is good at. Taking musical creation as one such skilled activity, in this work we employ an interaction method to monitor varying levels of engagement of musicians improvising on a desktop robotic musical interface (a network of intelligent sonic agents). The system observes the performer and estimates her/his changing level of engagement during the performance, while learning the musical discourse. When engagement levels drop, the musical instrument makes subtle interventions, coherent with the compositional process, until the performer's engagement levels recover. In a user study, we observed and measured the behaviour of our system as it deals with losses of performer focus provoked by the controlled introduction of external distractors. We also observed that being engaged in our musical creative activity contributed positively to participants' psychological wellbeing. This approach can be extended to other human activities.
UR - http://www.scopus.com/inward/record.url?scp=85074942618&partnerID=8YFLogxK
M3 - Conference Proceeding
AN - SCOPUS:85074942618
T3 - Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017
SP - 188
EP - 194
BT - Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017
A2 - Lokki, Tapio
A2 - Patynen, Jukka
A2 - Valimaki, Vesa
PB - Aalto University
Y2 - 5 July 2017 through 8 July 2017
ER -
