Programming by Moving: Interactive Machine Learning for Embodied Interaction Design

Interactive Machine Learning is a promising approach for designing movement interaction because it allows creators to implement even complex movement designs by simply performing them with their bodies. We introduce a new tool, InteractML and accompanying ideation method, being developed to make movement interaction design faster, adaptable and accessible to creators of varying experience and backgrounds. By closing the gap between ideation and implementation stages of designing movement interaction, we hope to apply embodied sketching all the way through the creation process, supporting the design of more expressive and reflective range of movement interaction.

• Organisation