Interactive Machine Learning offers a method for designing movement interaction that
supports creators in implementing even complex movement designs in their immersive …

There is a growing interest in interactive visuals for dance performance. Recent research
has identified potential in using interactive visuals to convey to the audience otherwise non …

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

What role does deviation from realism play in the potential for generative artificial
intelligence (AI) as a creative tool? A deep case-study was performed to explore interactions …

Personalized rehabilitation training programs depend on the patient's physical condition and
the physiotherapist's diagnosis, which varies for different people. As a patient, achieving a …

Home rehabilitation training has become an important part for patients to recover and
maintain physical conditions due to the high health care cost and limited supervision in …

This paper describes the process of adapting a dance piece to an interactive installation. To
cope with COVID-19 restrictions, the installation runs on a browser, allowing for remote …

ABSTRACT Interactive Machine Learning (IML) is an approach previously explored in music
discipline [10, 11, 13, 18]. However, its adaptation in sound synthesis as an algorithmic …

In recent years, motion controls have become a prevalent input modality for virtual reality
(VR) games, offering players richer ways to interact with virtual environments. However …

This dissertation focuses on taking a human-centric approach to utilize human intelligence
best to inform machine learning models. More specifically, the complex relationship between …