Movement interaction design for immersive media using interactive machine learning

Nicola Plant; Ruth Gibson; Carlos Gonzalez Diaz; Bruno Martelli; Michael Zbyszyński; Rebecca Fiebrink; Marco Gillies; Clarice Hilton; Phoenix Perry

doi:10.1145/3401956.3404252

Movement interaction design for immersive media using interactive machine learning

Nicola Plant, Ruth Gibson, Carlos Gonzalez Diaz, Bruno Martelli, Michael Zbyszyński, Rebecca Fiebrink, Marco Gillies, Clarice Hilton, Phoenix Perry

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020
Publisher	Association for Computing Machinery
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781450375054
ISBN (Print)	9781450375054
DOIs	https://doi.org/10.1145/3401956.3404252
Publication status	Published - 15 Jul 2020
Event	7th International Conference on Movement and Computing - Jersey City, Virtual, United States Duration: 15 Jul 2020 → 17 Jul 2020 https://moco20.movementcomputing.org/virtualconference

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	7th International Conference on Movement and Computing
Abbreviated title	MOCO 2020
Country/Territory	United States
City	Jersey City, Virtual
Period	15/07/20 → 17/07/20
Internet address	https://moco20.movementcomputing.org/virtualconference

Keywords

immersive media
interaction design
machine learning
movement interaction
virtual reality

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3401956.3404252

Cite this

Plant, N., Gibson, R., Diaz, C. G., Martelli, B., Zbyszyński, M., Fiebrink, R., Gillies, M., Hilton, C., & Perry, P. (2020). Movement interaction design for immersive media using interactive machine learning. In Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020 (pp. 1-2). Article 33 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3401956.3404252

Movement interaction design for immersive media using interactive machine learning. / Plant, Nicola; Gibson, Ruth; Diaz, Carlos Gonzalez et al.
Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020. Association for Computing Machinery, 2020. p. 1-2 33 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Plant, N, Gibson, R, Diaz, CG, Martelli, B, Zbyszyński, M, Fiebrink, R, Gillies, M, Hilton, C & Perry, P 2020, Movement interaction design for immersive media using interactive machine learning. in Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020., 33, ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 1-2, 7th International Conference on Movement and Computing, Jersey City, Virtual, United States, 15/07/20. https://doi.org/10.1145/3401956.3404252

Plant N, Gibson R, Diaz CG, Martelli B, Zbyszyński M, Fiebrink R et al. Movement interaction design for immersive media using interactive machine learning. In Proceedings of the 7th International Conference on Movement and Computing, MOCO 2020. Association for Computing Machinery. 2020. p. 1-2. 33. (ACM International Conference Proceeding Series). doi: 10.1145/3401956.3404252

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Movement interaction design for immersive media using interactive machine learning

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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