Catie Cuan x rad lab
“Time to Compile” is an embodied analog for the Internet of Things where audience members can make sense of this “place” and this “time”. We live in a world where people exist side by side even when separated by 1000s of miles and a time when data of human individuals is constantly being captured, influencing later unanticipated situations with unknown agents.
The mood of the piece is distant and remote yet sparkly and intriguing. We use soft elements like sheets, skin, and sex to contrast the hard lines of robots, virtual avatars, and transistors. Articulated mechanical devices not only allow us to grapple with previous audience perceptions of robots, but also move theatrical elements supporting a multiplicity of set configurations. Active, mobile lighting elements cast shadows of both human and robot performers, delineating another world on stage. The soundscape varies from speaking (human and robot vocalizations), to music from modern, digitally influenced artists.
April 21, 2018 – Time to Compile section 1 showing through ARTS@Tech at the Ferst Center. More here.
June 6-7, 2018 – CODAME nightlife showings in San Francisco. More here.
July 16-30, 2018 – Residency at University of Illinois, Urbana-Champaign.
September, 2018 – Dance NOW at Joe’s Pub in New York City.
March 9, 2018 – Time to Compile section 1 and 2 showings at the Granoff Center at Brown University as part of the Conference for Research on Choreographic Interfaces.
March 5-9, 2018 – Residency at Brown University.
February 17, 2018 – Time to Compile section 1 showing at the Biennial Symposium.
February 16, 2018 – Time to Compile paper presentation at the Biennial Symposium, Ammerman Center at Connecticut College. More here.
Catie is a dancer and technologist based out of Brooklyn. She is a 2018 TED Resident. A California native, she graduated with High Honors from the University of California, Berkeley and was a visiting student at the University of Oxford, New College. Her performance credits include the Metropolitan Opera, Lyric Opera of Chicago, and numerous Off-Broadway projects. She has presented her choreography at dozens of venues, including the Brooklyn Dance Festival and the Philadelphia Fringe Festival. She is currently interested in the influence of consumer facing technologies on human physicality and sentiment. Catie’s work explores relationships between self/other, self/self, and self/space – categorizing embodied technologies as “other”. In addition to performing, she worked at Google/YouTube, Bain & Company, and as a producer for clients such as L’Oreal, Pernod Ricard, and Gaynor Minden. Her photography has appeared in Variety, Contrast Magazine, and on the TV show, Nashville.
The RAD Lab was founded in 2013 by Amy LaViers who continues to manage the group as an assistant professor in mechanical engineering. Amy has a CMA from the Laban/Bartenieff Institute of Movement Studies, a PhD and MS in Electrical and Computer Engineering from Georgia Tech and a BSE in Mechanical and Aerospace Engineering and a Certificate in Dance from Princeton University. She became a roboticist as soon as she realized that roboticists ask the same questions as dancers: “how should we move through space?” Her lab’s focus is on the design of embodied abstractions for high-level control of automated systems. Choreography and taxonomies like the Laban/Bartenieff Movement System allow the lab to study explicit strategies of embodiment and human movement creation to this end. The lab has received funding from the National Science Foundation (NSF), DARPA, the Commonwealth Center for Advanced Manufacturing, NIST, the Jefferson Trust, the University of Virginia, and the University of Illinois. It has produced ten academic publications as well as many more workshop and university presentations since its founding. Current members include Ishaan Pakrasi and Novoneel Chakraborty who co-created the technology driving Time to Compile and in doing so are co-choreographers. Other lab members are Umer Huzaifa, Madison Heimerdinger, Alexander Zurawski, and Jamie Sergey.
This piece has become an essential research tool for a research effort in understanding how to make humans feel comfortable and trusting of in home robots; thus, elements utilized in the work have been funded by the National Science Foundation through grant #1528036 NRI: Collaborative Research: ASPIRE: Automation Supporting Prolonged Independent Residence for the Elderly. In addition to furthering research aims, this work is fulfilling elements of the Broader Impacts Plan for this grant.