Notes:
Narrative technology is a type of technology that uses natural language processing (NLP) algorithms to analyze and generate human-like narratives. It is often used in a variety of applications, including storytelling, journalism, and customer service, to create engaging and compelling stories, articles, and other written content.
Narrative technology leverages natural language by analyzing the words and phrases used in a piece of text, and by using this analysis to generate new text that is similar in style and content to the original text. This is done using NLP algorithms, which are designed to understand the meanings of words and phrases, and to generate text that is grammatically correct and follows the rules of natural language.
In a narrative technology system, the user provides a piece of text, such as a story or an article, as input to the system. The system then uses NLP algorithms to analyze the text, and to identify the key words and phrases that are used in the text. It then uses this analysis to generate new text that is similar in style and content to the original text, and that uses the same words and phrases in a similar context. This allows the system to create new narratives that are similar to the original text, but that are also unique and original.
Overall, narrative technology leverages natural language by using NLP algorithms to analyze and generate text that is similar in style and content to the original text. This allows the technology to create engaging and compelling narratives that are similar to the input text, but that are also original and unique.
- Autonomous character is a fictional character that is capable of acting independently and making decisions on its own. In the context of artificial intelligence and narrative technologies, an autonomous character might be a computer-generated character that is capable of interacting with users or other characters in a realistic and believable way.
- Character network is a group of characters that are interconnected and related to each other in some way. In the context of artificial intelligence and narrative technologies, a character network might be used to represent the relationships and interactions between different characters in a story or scenario.
- Character plan is a detailed description of a character’s goals, motivations, and behaviors. In the context of artificial intelligence and narrative technologies, a character plan might be used to guide the actions and decisions of an autonomous character, or to help create a more realistic and believable character.
- Narrative extraction is the process of extracting or identifying the narrative structure and elements of a story or text. In the context of artificial intelligence and narrative technologies, narrative extraction might involve identifying the characters, events, and conflicts in a story, as well as the relationships and interactions between those elements.
- Narrative generation is the process of automatically creating a story or narrative using artificial intelligence or other computational techniques. In the context of artificial intelligence and narrative technologies, narrative generation might involve generating text or other content that tells a coherent and compelling story, or that simulates the actions and behaviors of autonomous characters.
- Narrative technologies are technologies that are used for creating, analyzing, or interacting with stories or narratives. These technologies can include artificial intelligence, natural language processing, and other computational techniques, as well as specialized software and tools that are designed for creating or analyzing narratives. Narrative technologies are used in a variety of applications, including entertainment, education, and communication.
Resources:
- poem lab .. principles of expressive machines
- villanelle project .. authoring tool for autonomous characters
References:
- Extraction and Analysis of Fictional Character Networks: A Survey (2020)
- Villanelle: An Authoring Tool for Autonomous Characters in Interactive Fiction (2019)
- Villanelle: Towards Authorable Autonomous Characters in Interactive Narrative (2019)
- Combining Intentionality and Belief: Revisiting Believable Character Plans (2018)
See also:
Interactive Fiction Meta Guide
- Akimoto, T., & Ogata, T. (2019). Consideration of Fundamental Methods and Principles for Human-Computer Co-Creation of Narratives. In Post-Narratology Through Computational and … (pp. 46-63). IGI Global.
- Burtenshaw, B. (2018). A Brief Introduction to Natural Language Generation within Computational Creativity. In Proceedings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG) (pp. 15-19).
- Chacón, P. S., & Eger, M. (2019). Ex-Tarot: An extended Tarot-based narrative generation. In Proceedings of the IV Jornadas Costarricenses de Computación (OSACT 3) (pp. 4-9).
- Chen, Y. C., Robertson, J., & Jhala, A. (2018). Abstractions for Narrative Comprehension Tasks. In Proceedings of the Workshop on Intelligent Narrative Technologies and Workshop on Intelligent Cinematography and Editing (INT/WICED@AIIDE) (Vol. 2320).
- Dass, N. (2018). Story Generation with Deep Reinforcement Learning.
- Divekar, R. R., Peveler, M., Rouhani, R., Zhao, R., Ramanarayanan, G., & Fox, A. (2018). Cira: An architecture for building configurable immersive smart-rooms. In Proceedings of the International Conference on Social Robotics (pp. 77-87).
- Gonzalez, D., & Gordon, A. S. (2018). Comparing Speech and Text Input in Interactive Narratives. In Proceedings of the 23rd International Conference on Intelligent User Interfaces (IUI ’18) (pp. 127-131).
- Hollister, J. R., & Gonzalez, A. J. (2019). The campfire storytelling system–automatic creation and modification of a narrative. Journal of Experimental & Theoretical Artificial Intelligence, 31(3), 309-327.
- Horswill, I. (2019). Imaginarium: A Tool for Casual Constraint-Based PCG. Retrieved from http://www.exag.org/images/e/e7/Horswill_2019.pdf
- Iqbal, O. (2019). Villanelle: Towards Authorable Autonomous Characters in Interactive Narrative. Retrieved from https://repository.lib.ncsu.edu/handle/1840.20/37209
- Jahan, L., & Finlayson, M. (2019). Character Identification Refined: A Proposal. In Proceedings of the First Workshop on Narrative … (pp. 26-35). ACL.
- Klopfenstein, L. C., Delpriori, S., & Ricci, A. (2018). Adapting a Conversational Text Generator for Online Chatbot Messaging. In Proceedings of the 4th International Conference on Internet Science (pp. 101-112).
- Livytska, I. A. (2019). The Art of Narration and Artificial Narrative Intelligence: Implications for Interdisciplinary Research. Journal of Narrative and Language Studies.
- Lukin, S. M., Bonial, C., & Voss, C. R. (2019). Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes. arXiv preprint arXiv:1906.00038.
- Lukin, S. M., & Walker, M. A. (2019). A narrative sentence planner and structurer for domain independent, parameterizable storytelling. Dialogue & Discourse, 10(1), 129-156.
- Martens, C., Iqbal, O., Azad, S., Ingling, M., Mosolf, A., Saviola, E., … & Ontañón, S. (2018). Villanelle: Towards Authorable Autonomous Characters in Interactive Narrative. In Proceedings of the 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’18) (Vol. 14, No. 1, pp. 254-261).
- Martens, C., Iqbal, O., Azad, S., Ingling, M., Mosolf, A., Saviola, E., … & Ontañón, S. (2018). Villanelle: Towards Authorable Autonomous Characters in Interactive Narrative. In Proceedings of the 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’18) (Vol. 14, No. 1, pp. 254-261).
- Mathewson, K. W., Castro, P. S., Cherry, C., Foster, G., & Bellemare, M. G. (2019). Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue. arXiv preprint arXiv:1910.01281.
- Miller, C., Dighe, M., Martens, C., & Jhala, A. (2019). Stories of the town: balancing character autonomy and coherent narrative in procedurally generated worlds. In Proceedings of the 14th … (pp. 1-13). ACM.
- Papalampidi, P., Keller, F., & Lapata, M. (2019). Movie Plot Analysis via Turning Point Identification. arXiv preprint arXiv:1908.10328.
- Porteous, J., Ferreira, J. F., Lindsay, A., & Cavazza, M. (2020). Extending Narrative Planning Domains with Linguistic Resources. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2020) (pp. 2141-2143).
- Purgina, M., Mozgovoy, M., & Blake, J. (2020). WordBricks: Mobile technology and visual grammar formalism for gamification of natural language grammar acquisition. Journal of Educational Computing Research, 58(1), 126-159.
- Ramos, R. M. S., Monteiro, D. S., & Moreira, A. (2020). Personality-dependent content selection in natural language generation systems. Journal of the Brazilian Computer Society, 26(1), 6.
- Ruan, S., He, J., Ying, R., Burkle, J., Hakim, D., & Druin, A. (2020). Supporting children’s math learning with feedback-augmented narrative technology. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) (pp. 1-13).
- Sabri, L., & Boubetra, A. (2020). Narrative Knowledge Representation and Blockchain: A Symbiotic Relationship. In International Conference on Advanced Information Systems Engineering (pp. 363-377). Springer.
- Sfetcu, N. (2019). Philosophy of Blockchain Technology-Ontologies. MultiMedia Publishing.
- Tanasescu, C., Kesarwani, V., & Inkpen, D. (2018). Metaphor detection by deep learning and the place of poetic metaphor in digital humanities. In Proceedings of