Abstract
Interactivity, coherence and diversity of the stories are key issues for the development of interactive storytelling systems. When stories are to be told via interactive TV, special interaction methods are also necessary in order to cope with high responsiveness requirements. In this paper, we describe the extension of the interactive storytelling system Logtell we have developed to run in an interactive TV environment. Planning algorithms have been applied to provide coherence and diversity for the stories at levels of both plot composition and dramatization. A new architecture was designed to combine these algorithms with special interaction methods incorporated to achieve high responsiveness.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cavazza, M., Charles, F., Mead, S.: Character-based interactive storytelling. IEEE Intelligent Systems, special issue on AI in Interactive Entertainment 17(4), 17–24 (2002)
Grasbon, D., Braun, N.: A morphological approach to interactive storytelling. In: Proc. CAST 2001, Living in Mixed Realities. Special issue of Netzspannung.org/journal, the Magazine for Media Production and Inter-media Research, Sankt Augustin, Germany, pp. 337–340 (2001)
Paiva, A., Machado, I., Prada, R.: Heroes, Villains, Magicians... Dramatis personae in a virtual story creation environment. In: Proc. Intelligent User Interfaces (2001)
Propp, V.: Morphology of the Folktale, Laurence Scott (trans.). University of Texas Press, Austin (1968)
Mateas, M., Stern, A.: Towards integrating plot and character for interactive drama. In: Dautenhahn, K. (ed.) Socially Intelligent Agents: The Human in the Loop, AAAI Fall Symposium, Technical report, pp. 113–118. AAAI Press, Menlo Park (2000)
Crawford, C.: Assumptions underlying the Erasmatron storytelling system. In: Working Notes of the 1999 AAAI Spring Symposium on Narrative Intelligence. AAAI Press, Menlo Park (1999)
Riedl, M., Young, R.M.: An intent-driven planner for multi-agent story generation. In: The Proceedings of the 3rd International Conference on Autonomous Agents and Multi Agent Systems (2004)
Ciarlini, A.E.M., Pozzer, C.T., Furtado, A.L., Feijo, B.: A Logic-Based Tool for Interactive Generation and Dramatization of Stories. In: Proc. ACM SIGCHI International Conference on Advances in Computer Entertainment Technology (ACE 2005), Valencia (2005)
Ciarlini, A., Veloso, P., Furtado, A.: A Formal Framework for Modelling at the Behavioural Level. In: Proc. The Tenth European-Japanese Conference on Information Modelling and Knowledge Bases, Saariselkä, Finland (2000)
Yang, Q., Tenenberg, J., Woods, S.: On the Implementation and Evaluation of Abtweak. Computational Intelligence Journal 12(2), 295–318 (1996)
Erol, K., Hendler, J., Nau, D.S.: UMCP: A sound and complete procedure for hierachical task-network planning. In: Proceedings of the International Conference on AI Planning Systems (AIPS), pp. 249–254 (1994)
Nau, D.S., Au, T.-C., Ilghami, O., Kuter, U., Murdock, W., Wu, D., Yaman, F.: SHOP2: An HTN planning system. Journal of Artificial Intelligence Research 20, 379–404 (2003)
Blum, A.L., Furst, M.L.: Fast Planning through planning graph analysis. Artificial Intelligence 90, 281–300 (1997)
Geverini, A., Serina, I.: LPG: A planner based on local search for planning graphs. In: Proceedings of the International Conference on AI Planning Systems (AIPS), pp. 968–973 (2002)
Doherty, P., Kvarnström, J.: TALplanner: A temporal logic based planner. AI Magazine 22(3), 95–102 (2001)
Hoffman, J.F.F.: The Fast-Forward planning system. AI Magazine 22(3), 57–62 (2001)
Aarne, A.: The Types of the Folktale: A Classification and Bibliography. In: Translated and enlarged by Stith Thompson, FF Communications, vol. 184. Suomalainen Tiedeakatemia, Helsinki (1964)
Kautz, H.A.: A Formal Theory of Plan Recognition and its Implementation. In: Allen, J.F., et al. (eds.) Reasoning about Plans. Morgan Kaufmann, San Mateo (1991)
Bertoli, P., Cimatti, A., Roveri, M., Traverso, P.: Planning in Nondeterministic Domains under Partial Observability via Symbolic Model Checking. In: 17th International Joint Conferences on Artificial Intelligence, Washington, pp. 473–478 (2001)
Pistore, M., Traverso, P.: Planning as model checking for extended goals in non-deterministic domains. In: Proc. 17th International Joint Conference on Artificial Intelligence, Washington, pp. 479–484 (2001)
Burch, J.R., Clarke, E.M., McMillan, K.L., Dill, D.L., Hwang, L.J.: Symbolic Model Checking: 1020 states and beyond. Information and Computation 98(2), 142–170 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ciarlini, A.E.M., Camanho, M.M., Dória, T.R., Furtado, A.L., Pozzer, C.T., Feijó, B. (2008). Planning and Interaction Levels for TV Storytelling. In: Spierling, U., Szilas, N. (eds) Interactive Storytelling. ICIDS 2008. Lecture Notes in Computer Science, vol 5334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89454-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-89454-4_26
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89424-7
Online ISBN: 978-3-540-89454-4
eBook Packages: Computer ScienceComputer Science (R0)