This paper presents a computational model for conceptual shifts, based on a novelty metric
applied to a vector representation generated through deep learning. This model is …

Human-computer co-creativity research is relatively new, and comparing how co-creative
systems augment creativity is challenging even within the same creative domain. This paper …

We present Stanley, a digital sculpture designed to engage audiences with the spontaneous
and captivating emotional expressions of an artificial human. A 3D-printed face is brought to …

This article presents a novel approach to authoring cocreative systems-called interaction-
based authoringthat combines ideas from case-based learning and imitative learning, while …

What expectations exist in the minds of dancers when interacting with a generative machine
learning model? During two workshop events, experienced dancers explore these …

The concept of audience interactivity has been rediscovered across many domains of
storytelling and entertainment—eg digital games, in-person role-playing, film, theater …

This paper reports on the design and evaluation of LuminAI, a socially interactive art
installation in which participants can engage in collaborative movement improvisation with …

In this demonstration, we present a holographic projected version of LuminAI, which is an
interactive art installation that allows participants to collaborate with an AI dance partner by …

What we appreciate in dance is the ability of people to sponta-neously improvise new
movements and choreographies, sur-rendering to the music rhythm, being inspired by the …

The term serendipity describes a creative process that develops, in context, with the active
participation of a creative agent, but not entirely within that agent's control. While a system …