Darja Stoeva
Darja Stoeva is an interdisciplinary researcher with interests spanning topics in social robots, human-robot interaction (HRI), human perception and machine perception (computer vision), affect, body and mind. Currently, she is a PhD student with a main focus on body language in human-robot interaction, as part of the TrustRobots Doctoral College (http://trustrobots.eu/) at TU Wien.
In H.A.U.S. the main role she plays is a programmer, which is mostly robot (Pepper) programming.
Starting the new youAI research cycle: the performance youAI-I3-01 @ improper walls gallery
With this first performance after the youAI premiere we start to scrutinize and fine-tune our AI models for further development to unfold human-humanoid motion potential. youAI-I3-01 A is a word…
> upcoming: performance youAI-I3-01
A word and dance performance, discussing the training of so-called artificial intelligence systems. Our behavior in digital media is being used to train AI’s ever more precisely, sometimes subtly, sometimes…
youAI – train, adapt, perform
dance-and-word performance @ imagetanz festival 2023 To generate data for training artificial intelligences, digital machines measure us humans. But with every click, like or selfie, Artificial Intelligence (AI) also trains…
> upcoming: youAI – train, adapt, perform
a dance-and-word performance @ imagetanz festival 2023 To generate data for training artificial intelligences, digital machines measure us humans. But with every click, like or selfie, Artificial Intelligence (AI) also…
“AI – Alien Introspection” Performance at “Steirischer Herbst” Contemporary Art Festival
Robot-Dance and Lecture-Performance “AI – Alien Introspection” is improvising a text structured after the diagram of a machine-learning system. In this way, the performance immerses its visitors in cultural ideas…
> upcoming: Performance at “Steirischer Herbst” art festival “AI – Alien Introspection”
Robot-Dance and Lecture-Performance “AI – Alien Introspection” is improvising a text structured after the diagram of a machine-learning system. In this way, the performance immerses its visitors in cultural ideas…