Movement Interaction Design for Immersive Media Using Interactive Machine Learning

Plant, Nicola; Gibson, Ruth; Diaz, Carlos Gonzalez; Martelli, Bruno; Zbyszynski, Michael; Fiebrink, Rebecca; Gillies, Marco; Hilton, Clarice and Perry, Phoenix. 2020. 'Movement Interaction Design for Immersive Media Using Interactive Machine Learning'. In: Proceedings of the 7th International Conference on Movement and Computing. Jersey City, NJ, United States 15 – 17 July 2020. [Conference or Workshop Item]

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Abstract or Description

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.

Item Type:

Conference or Workshop Item (Other)

Keywords:

virtual reality, interaction design, machine learning, immersive media, movement interaction

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
15 July 2020Published

Event Location:

Jersey City, NJ, United States

Date range:

15 – 17 July 2020

Item ID:

29722

Date Deposited:

15 Feb 2021 12:02

Last Modified:

15 Feb 2021 12:02

URI:

https://research.gold.ac.uk/id/eprint/29722

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