David Verweij
Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments
Verweij, David; Esteves, Augusto; Bakker, Saskia; Khan, Vassilis-Javed
Authors
Augusto Esteves
Saskia Bakker
Vassilis-Javed Khan
Abstract
Amongst the variety of (multi-modal) interaction techniques that are being developed and explored, the Motion Matching paradigm provides a novel approach to selection and control. In motion matching, users interact by rhythmically moving their bodies to track the continuous movements of different interface targets. This paper builds upon the current algorithmic and usability focused body of work by exploring the product possibilities and implications of motion matching. Through the development and qualitative study of four novel and different real-world motion matching applications --- with 20 participants --- we elaborate on the suitability of motion matching in different multi-user scenarios, the less pertinent use in home environments and the necessity for multi-modal interaction. Based on these learnings, we developed three novel motion matching based interactive lamps, which report on clear paths for further dissemination of the embodied interaction technique's experience. This paper hereby informs the design of future motion matching interfaces and products.
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | 13th International Conference on Tangible, Embedded, and Embodied Interaction (ACM TEI) |
Start Date | Mar 17, 2019 |
End Date | Mar 20, 2019 |
Acceptance Date | Oct 24, 2018 |
Publication Date | Mar 17, 2019 |
Deposit Date | Oct 25, 2018 |
Publicly Available Date | Mar 17, 2019 |
Publisher | Association for Computing Machinery (ACM) |
Pages | 645-656 |
Book Title | TEI '19 Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction |
ISBN | 978-1-4503-6196-5 |
DOI | https://doi.org/10.1145/3294109.3295628 |
Public URL | http://researchrepository.napier.ac.uk/Output/1322868 |
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Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments
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