Abstract
Applying the natural interaction paradigm to digital systems offers increased comfort to their users, but also poses new challenges to interaction designers, particularly for gesture-controlled systems. While the documentation of human movement has been a research topic for many years, its results have not yet been fully applied to the area of motion-controlled systems.
Labanotation, a motion notation language originating in theatre and dance, has been widely discussed as a promising candidate to overcome this issue. It has been argued that its major drawback is the effort required to learn how to use it.
In this paper, we contribute to the problem of a universally accepted standardized documentation method of human movement by presenting a novel 3D editor that reduces the hurdle to document gestures and transforms the cumbersome task of learning and using Labanotation into a simple and even enjoyable process. Notably, the editor allows learning the notation language via trial-and-error.
Labanotation, a motion notation language originating in theatre and dance, has been widely discussed as a promising candidate to overcome this issue. It has been argued that its major drawback is the effort required to learn how to use it.
In this paper, we contribute to the problem of a universally accepted standardized documentation method of human movement by presenting a novel 3D editor that reduces the hurdle to document gestures and transforms the cumbersome task of learning and using Labanotation into a simple and even enjoyable process. Notably, the editor allows learning the notation language via trial-and-error.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) : IEA 2021. Lecture Notes in Networks and Systems, vol 223. Springer, Cham |
| Herausgeber (Verlag) | Springer, Cham |
| Erscheinungsdatum | 13.06.2021 |
| ISBN (Print) | 978-3-030-74613-1 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 13.06.2021 |
Strategische Forschungsbereiche und Zentren
- Zentren: Zentrum für Künstliche Intelligenz Lübeck (ZKIL)
- Querschnittsbereich: Intelligente Systeme
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
