@inproceedings{0626635ed77f48d5b63adbc25f1da625,
title = "Movement interaction design for immersive media using interactive machine learning",
abstract = "Interactive Machine Learning is a promising approach for designing movement interaction because it allows developers to capture complex movements by simply performing them. We introduce a new tool being developed to make embodied interaction design faster, adaptable and accessible to developers of varying experience and background. Using the tool, we conduct workshops with creative practitioners and developers to explore techniques that equip users with embodied ideation design strategies encouraging full body interaction for immersive media.",
keywords = "immersive media, interaction design, machine learning, movement interaction, virtual reality",
author = "Nicola Plant and Ruth Gibson and Diaz, {Carlos Gonzalez} and Bruno Martelli and Michael Zbyszy{\'n}ski and Rebecca Fiebrink and Marco Gillies and Clarice Hilton and Phoenix Perry",
year = "2020",
month = jul,
day = "15",
doi = "10.1145/3401956.3404252",
language = "English",
isbn = "9781450375054",
series = "ACM International Conference Proceeding Series",
publisher = " Association for Computing Machinery",
pages = "1--2",
booktitle = "Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020",
address = "United States",
note = "7th International Conference on Movement and Computing, MOCO 2020 ; Conference date: 15-07-2020 Through 17-07-2020",
}