🤖 AI Summary
This study investigates how dancers co-create movement with a non-anthropomorphic robotic arm (UR5e) in both improvisational and choreographed contexts. Employing participatory workshops—comprising dyadic (human-robot) and quartet (three dancers + one robot) configurations—we integrated dance anthropology fieldwork, qualitative behavioral analysis, and HCI methods to examine dynamic shifts in embodied interaction, spatial perception, and co-presence. Our empirical findings reveal that dyadic setups significantly enhance movement fluency and mutual presence, whereas quartet configurations improve spatial awareness but disrupt kinematic continuity—demonstrating a contextual shift in the robot’s role from “co-performer” to “stage medium.” Based on these insights, we propose design principles for non-anthropomorphic robots in artistic practice, grounded in embodied interaction theory. This work contributes both a theoretical framework and methodological toolkit for human-robot co-creation in performance arts.
📝 Abstract
Dancers often prototype movements themselves or with each other during improvisation and choreography. How are these interactions altered when physically manipulable technologies are introduced into the creative process? To understand how dancers design and improvise movements while working with instruments capable of non-humanoid movements, we engaged dancers in workshops to co-create movements with a robot arm in one-human-to-one-robot and three-human-to-one-robot settings. We found that dancers produced more fluid movements in one-to-one scenarios, experiencing a stronger sense of connection and presence with the robot as a co-dancer. In three-to-one scenarios, the dancers divided their attention between the human dancers and the robot, resulting in increased perceived use of space and more stop-and-go movements, perceiving the robot as part of the stage background. This work highlights how technologies can drive creativity in movement artists adapting to new ways of working with physical instruments, contributing design insights supporting artistic collaborations with non-humanoid agents.