Name
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.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3401956.3404252 | MOCO '20: 7th International Conference on Movement and Computing
Jersey City/Virtual
NJ
USA
July, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7505-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicola Plant | 1 | 0 | 0.34 |
| Ruth Gibson | 2 | 0 | 0.34 |
| Carlos Gonzalez Diaz | 3 | 0 | 0.34 |
| Bruno Martelli | 4 | 0 | 0.34 |
| Michael Zbyszynski | 5 | 32 | 6.86 |
| Rebecca Fiebrink | 6 | 281 | 36.77 |
| Marco Gillies | 7 | 169 | 20.71 |
| Clarice Hilton | 8 | 0 | 0.34 |
| Phoenix Perry | 9 | 0 | 0.68 |