TY - GEN
T1 - Accelerating Skill Acquisition of Two-Handed Drumming using Pneumatic Artificial Muscles
AU - Goto, Takashi
AU - Das, Swagata
AU - Wolf, Katrin
AU - Lopes, Pedro
AU - Kurita, Yuichi
AU - Kunze, Kai
PY - 2020/3/16
Y1 - 2020/3/16
N2 - While computers excel at augmenting user's cognitive abilities, only recently we started utilizing their full potential to enhance our physical abilities. More and more wearable force-feedback devices have been developed based on exoskeletons, electrical muscle stimulation (EMS) or pneumatic actuators. The latter, pneumatic-based artificial muscles, are of particular interest since they strike an interesting balance: lighter than exoskeletons and more precise than EMS. However, the promise of using artificial muscles to actually support skill acquisition and training users is still lacking empirical validation. In this paper, we unveil how pneumatic artificial muscles impact skill acquisition, using two-handed drumming as an example use case. To understand this, we conducted a user study comparing participants' drumming performance after training with the audio or with our artificial-muscle setup. Our haptic system is comprised of four pneumatic muscles and is capable of actuating the user's forearm to drum accurately up to 80 bpm. We show that pneumatic muscles improve participants' correct recall of drumming patterns significantly when compared to auditory training.
AB - While computers excel at augmenting user's cognitive abilities, only recently we started utilizing their full potential to enhance our physical abilities. More and more wearable force-feedback devices have been developed based on exoskeletons, electrical muscle stimulation (EMS) or pneumatic actuators. The latter, pneumatic-based artificial muscles, are of particular interest since they strike an interesting balance: lighter than exoskeletons and more precise than EMS. However, the promise of using artificial muscles to actually support skill acquisition and training users is still lacking empirical validation. In this paper, we unveil how pneumatic artificial muscles impact skill acquisition, using two-handed drumming as an example use case. To understand this, we conducted a user study comparing participants' drumming performance after training with the audio or with our artificial-muscle setup. Our haptic system is comprised of four pneumatic muscles and is capable of actuating the user's forearm to drum accurately up to 80 bpm. We show that pneumatic muscles improve participants' correct recall of drumming patterns significantly when compared to auditory training.
KW - Force-feedback
KW - motor learning
KW - pneumatic artificial muscles (PAMs)
UR - http://www.scopus.com/inward/record.url?scp=85086248187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086248187&partnerID=8YFLogxK
U2 - 10.1145/3384657.3384780
DO - 10.1145/3384657.3384780
M3 - Conference contribution
AN - SCOPUS:85086248187
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the Augmented Humans International Conference, AHs 2020
PB - Association for Computing Machinery
T2 - 2020 Augmented Humans International Conference, AHs 2020
Y2 - 16 March 2020 through 17 March 2020
ER -