Understanding the role of Interactive Machine Learning in Movement Interaction Design
- Submitting institution
-
Goldsmiths' College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2202
- Type
- D - Journal article
- DOI
-
10.1145/3287307
- Title of journal
- ACM Transactions on Computer-Human Interaction
- Article number
- 5
- First page
- -
- Volume
- 26
- Issue
- 1
- ISSN
- 1073-0516
- Open access status
- Not compliant
- Month of publication
- February
- Year of publication
- 2019
- URL
-
http://research.gold.ac.uk/id/eprint/24757/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Movement interaction is increasingly important in areas like AR, VR, and Interactive Machine Learning (IML). The proposed approach in this paper is being applied in academia and industry. This work has led directly to a successful EPSRC Grant “4i: Immersive Interaction design for Indie developers with Interactive machine learning” (EP/S02753X/1, £500K), which applies ideas with many stakeholders including artists and game developers. _x000D_
It also led to an InnovateUK grant with two games companies (Maze Theory, Dream Reality Interactive) that applied IML to designing interaction with virtual characters in a VR game of the TV show Peaky Blinders.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -