Scenejo – An Interactive Storytelling Platform

  • Sebastian Weiss
  • Wolfgang Müller
  • Ulrike Spierling
  • Florian Steimle
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3805)


Scenejo is an Interactive Storytelling platform, supporting both structured story lines and emergent behavior. Authoring is performed either at the level of a story graph or dialogue patterns. The Scenejo platform supports several artificial actors conversing with a number of real actors, representing the users in the system. Artificial actors are visualized as animated 3d characters, and actor responses are presented by speech synthesis in combination with non-verbal behavior.


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  1. 1.
    Mateas, M., Stern, A.: Integrating Plot, Character and Natural Language Processing in the Interactive Drama Façade. In: Proceedings of TIDSE 2003, Darmstadt, pp. 139–151 (2003)Google Scholar
  2. 2.
    Spierling, U., Iurgel, I.: ”Just Talking About Art”– Creating Virtual Storytelling Experiences in Mixed Reality. In: Balet, O., Subsol, G., Torguet, P. (eds.) ICVS 2003. LNCS, vol. 2897, pp. 179–188. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  3. 3.
    ALICE (2005): Homepage of the A.L.I.C.E. Artificial Intelligence Foundation. Online (last accessed: 10.06.2005)
  4. 4.
    Müller, W., Spierling, U., Weiss, S.: Synchronizing Natural Language Conversation Between Users And Multiple Agents In Interactive Storytelling Applications. In: Proc. TESI 2005, Maastricht, The Netherlands (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Sebastian Weiss
    • 1
  • Wolfgang Müller
    • 2
  • Ulrike Spierling
    • 3
  • Florian Steimle
    • 4
  1. 1.Team For HireGermany
  2. 2.Dept. of Computer ScienceAnhalt University of Applied SciencesGermany
  3. 3.FH ErfurtUniv. of Applied SciencesErfurtGermany
  4. 4.Dept. of Computer ScienceUniv. of FrankfurtGermany

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