Using Natural User Interfaces for Previsualization

Authors

  • Rainer Malaka Digital Media Lab, TZI
  • Tanja Döring Digital Media Lab, TZI
  • Thomas Fröhlich Digital Media Lab, TZI
  • Thomas Muender Digital Media Lab, TZI
  • Georg Volkmar Digital Media Lab, TZI
  • Dirk Wenig Digital Media Lab, TZI
  • Nima Zargham Digital Media Lab, TZI

DOI:

https://doi.org/10.4108/eai.16-3-2021.169030

Keywords:

Previsualization, Natural User Interface, Animation, Virtual Reality, Film, Theatre, Visual Effects

Abstract

INTRODUCTION: An important phase in the process of visual design for the narrative media is previsualization (previs). Professionals use complicated 3D software applications that are not especially designed for the purpose of previs which makes it difficult for the artists and non-technical users to create previs content.

OBJECTIVES: The aim is to empower artists to express and visualize their ideas and creative capabilities in an optimal way.

METHODS: We suggest using natural user interfaces (NUIs) and discuss suitable interactions for different previs tasks. We developed and evaluated a series of individual prototypes as well as a central overarching prototype following our NUI concepts.

RESULTS: The results show that our NUI-based interaction methods were perceived highly positive and experts found it valuable for their work.

CONCLUSION: With only a brief familiarization phase, NUIs can provide a convenient substitute to traditional design tools that require long training sessions.

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Published

16-03-2021

How to Cite

1.
Malaka R, Döring T, Fröhlich T, Muender T, Volkmar G, Wenig D, Zargham N. Using Natural User Interfaces for Previsualization. EAI Endorsed Trans Creat Tech [Internet]. 2021 Mar. 16 [cited 2024 May 5];8(26):e5. Available from: https://publications.eai.eu/index.php/ct/article/view/1433

Issue

Vol. 8 No. 26 (2021): EAI Endorsed Transactions on Creative Technologies

Section

Research article

License

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.

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