Lizardly

Lizardly is a live, mixed reality play created by Kat Mustatea and Heidi Boisvert that explores AI, environmental collapse, and interspeciality.

Vincent and Rebecca’s marriage is falling apart as they brace for an oncoming hurricane—and if that’s not bad enough, they are also turning into lizards. Set in post-anthropocene Miami, the drama unfolds in the aftermath of various ecological cataclysms: rising oceans, aggressive mold, bio-engineered flora that conduct electrical current. Humans have not been wiped out, so much as they have adapted to rapid environmental shifts by mutating into lizards. Vincent and Rebecca have no choice but to weather the storm inside their smart-home, a technological remnant named June whose functions (and malfunctions) they weaponize in an escalating domestic turf war.

The staging employs VR, MoCap and Machine Learning to create a vivid portrayal of hybrid humans in a posthuman world. Lizardly premiered at MAXLive 2021: The Neuroverse, co-produced by New York Live Arts.

Duration: 25 minutes - Cast: 2 main performers, 1 supporting

Lizardly was named among the Digital Dozen Breakthrough in Storytelling Awards from Columbia Digital Storytelling Lab, 2022

Awards

2022 Digital Dozen Breakthrough in Storytelling Awards, Columbia Digital Storytelling Lab

Performances

Premiere: MAXlive 2021: The Neuroverse, November 2021

Performing Tech / Live Artery @ New York Live Arts, January 2022

Credits

Concept: Kat Mustatea, Heidi Boisvert

Script: Kat Mustatea

Creative Technology: Heidi Boisvert

Performers: Joshua Echebiri, Rina Dutta, Kira Davies

Sound Design: Cecilia Lopez

Production Design: Andrea Lauer

Lighting Design: Allen Hahn

Choreography: Pauline Jennings, Joshua Lacourse

3D Modeling Intern: Shequana Garnett

Unity Programming Intern : Patrick Rufino 

Co-produced by: New York Live Arts and Media Art Xploration

Support

GALLIM Moving Women Residency

New York Live Arts

Residency at The Movement Lab at Millstein Center, Barnard College

CAVE at Leimay

Additional support from University of Florida College of the Arts with support from the Banks Family Preeminence Chair and UF Research

New York City College of Technology, Entertainment Technology Department