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 |
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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 | |
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 |
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Conference
Conference | 7th International Conference on Movement and Computing |
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Abbreviated title | MOCO 2020 |
Country/Territory | United States |
City | Jersey City, Virtual |
Period | 15/07/20 → 17/07/20 |
Internet address |
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