skip to main content
10.1145/3290607.3312953acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
abstract

Analysis of Previsualization Tasks for Animation, Film and Theater

Published:02 May 2019Publication History

ABSTRACT

Previsualization (previs) is an essential phase in the visual design process of narrative media such as film, animation, and stage plays. In digital previs complex 3D tools are used that are not specifically designed for the previs process making it hard to use for creative persons without much technical knowledge. To enable building dedicated previs software, we analyze the tasks performed in digital previs based on interviews with domain experts. In order to support creative persons in their previs work we propose the use of natural user interfaces and discuss which are suited for the specific previs tasks.

References

  1. Murali Chemuturi. 2012. Requirements engineering and management for software development projects. Springer Science & Business Media. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Francisco J García-Peñalvo and Lourdes Moreno. 2017. Special issue on exploring new Natural User Experiences.Google ScholarGoogle Scholar
  3. Weiyuan Liu. 2010. Natural user interface-next mainstream product user interface. In Computer-Aided Industrial Design & Conceptual Design (CAIDCD), 2010 IEEE 11th International Conference on, Vol. 1. IEEE, 203--205.Google ScholarGoogle Scholar
  4. Thomas Muender, Thomas Fröhlich, and Rainer Malaka. 2018. Empowering Creative People: Virtual Reality for Previsualization. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18). ACM, New York, NY, USA, Article LBW630, 6 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Anja Naumann, Jörn Hurtienne, Johann Habakuk Israel, Carsten Mohs, Martin Christof Kindsmüller, Herbert A Meyer, and Steffi Hußlein. 2007. Intuitive use of user interfaces: defining a vague concept. In International Conference on Engineering Psychology and Cognitive Ergonomics. Springer, 128--136. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Jeffrey A Okun and Susan Zwerman. 2010. The VES handbook of visual effects: industry standard VFX practices and procedures. Taylor & Francis.Google ScholarGoogle Scholar
  7. Orit Shaer and Eva Hornecker. 2010. Tangible user interfaces: past, present, and future directions. Foundations and Trends® in Human--Computer Interaction 3, 1--2 (2010), 4--137. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Donna Spencer. 2009. Card sorting: Designing usable categories. Rosenfeld Media.Google ScholarGoogle Scholar
  9. Daniel Wigdor and Dennis Wixon. 2011. Brave NUI world: designing natural user interfaces for touch and gesture. Elsevier. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Analysis of Previsualization Tasks for Animation, Film and Theater

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
        May 2019
        3673 pages
        ISBN:9781450359719
        DOI:10.1145/3290607

        Copyright © 2019 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 May 2019

        Check for updates

        Qualifiers

        • abstract

        Acceptance Rates

        Overall Acceptance Rate6,164of23,696submissions,26%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format