LuminAI

LuminAI is a dome-based art installation in which participants can engage in collaborative movement improvisation with each other and artificially intelligent virtual dance partners. The line between human and non-human is blurred, spurring participants to examine their relationship with AI-based technology and how it can be expressive, social, and playful. The LuminAI installation ultimately examines how humans and machines can co-create experiences together as equals, but it does so in a lighthearted environment. Participants are able to creatively explore movement while having fun and enjoying the social space of the installation.

LuminAI’s virtual agents analyze participant movements through procedural representations of the Viewpoints movement theory (from theater and dance) and improvise responses from transformed memories of past interactions with people. In other words, the agents learn how to dance by dancing with us. In collaboration with Atlanta’s Out of Hand Theater, we have formally studied the Viewpoints movement method. Viewpoints describes body positioning and movement in a performance in terms of several different categories such as space, shape, time, emotion and movement. The various aspects of these categories were analyzed in detail to define and apply it to a movement – based, improvisational, human – computer, performance art piece.

Selected Videos

PUBLICATIONS

  • Long, D., Jacob, M., Davis, N., and Magerko, B. (2017). “Designing for Socially Interactive Systems.” To appear in Proceedings of the 11th Conference on Creativity and Cognition.
  • Jacob, M., and Magerko, B. (2015).  “Interaction-based Authoring for Scalable Co-creative Agents.”  In the Proceedings of the Sixth International Conference on Computational Creativity (ICCC), Park City, UT, 8 pgs. (pdf)
  • Jacob, M., Coisne, G., Gupta, A., Sysoev, I., Verma, G., and Magerko, B. (2013).  “Viewpoints AI.”  In the Proceedings of the Ninth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), Boston, MA, 7 pgs. (pdf)
  • Jacob, M., Zook, A., and Magerko, B. (2013).  “Viewpoints AI: Procedurally Representing and Reasoning about Gestures.”  In the Proceedings of DiGRA 2013, Atlanta, GA, 15 pgs. (pdf)