We propose a robust framework for combining performance paradigms with human robot interaction (HRI) research. Following an analysis of several case studies that combine the performing arts with HRI experiments, we propose a methodology and “best practices” for implementing choreography and other performance paradigms in HRI experiments. Case studies include experiments conducted in laboratory settings, “in the wild”, and live performance settings. We consider the technical and artistic challenges of designing and staging robots alongside humans in these various settings, and discuss how to combine tools and methods from human computer interaction (HCI) research with established HRI metrics and benchmarks to evaluate these interactions.
|Name||Frontiers in Artificial Intelligence and Applications|
|Conference||CFP Robophilosophy 2016/Research Network for Transdisciplinary Studies in Social Robotics, TRANSOR 2016|
|Period||17/10/16 → 21/10/16|