Volume
OASIcs, Volume 41
2014 Workshop on Computational Models of Narrative
- Part of: Series: Open Access Series in Informatics (OASIcs)
Event
CMN 2014, July 31 to August 2, 2014, Quebec City, CanadaEditors
Publication Details
- published at: 2014-08-08
- Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
- ISBN: 978-3-939897-71-2
- DBLP: db/conf/cmn/cmn2014
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Complete Volume
OASIcs, Volume 41, CMN'14, Complete Volume
Abstract
OASIcs, Volume 41, CMN'14, Complete Volume
Cite as
2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@Proceedings{finlayson_et_al:OASIcs.CMN.2014,
title = {{OASIcs, Volume 41, CMN'14, Complete Volume}},
booktitle = {2014 Workshop on Computational Models of Narrative},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014},
URN = {urn:nbn:de:0030-drops-46771},
doi = {10.4230/OASIcs.CMN.2014},
annote = {Keywords: Ordinary Differential Equations, Models and Principles: General, Systems and Information Theory, User/Machine Systems / Human information processing, Models and Principles: Miscellaneous, Content Analysis and Indexing, Information Search and Retrieval, Multimedia Information Systems,}
}
Document
Front Matter
Frontmatter, Table of Contents, Preface, Workshop Organization
Abstract
Frontmatter, Table of Contents, Preface, Workshop Organization
Cite as
2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. i-xiv, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{finlayson_et_al:OASIcs.CMN.2014.i,
author = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
title = {{Frontmatter, Table of Contents, Preface, Workshop Organization}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {i--xiv},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.i},
URN = {urn:nbn:de:0030-drops-46389},
doi = {10.4230/OASIcs.CMN.2014.i},
annote = {Keywords: Frontmatter, Table of Contents, Preface, Workshop Organization}
}
Document
Invited Talk
Toward Neurally-Inspired Computational Models of Narrative (Invited Talk)
Abstract
In the spirit of the neuroscience theme of this year's meeting, I will describe a set of cognitive and neurophysiological phenomena that are important for the processing of narrative text at the discourse level. Text processing depends on sequential structure in language and also in the events that language describes. Semantic representations of events capture perceptual and motor properties of described situations, leveraging previous lived experience. Although a large number of neural systems are involved in processing narrative text, a constrained subset of systems are selectively engaged by discourse-level processing. To bring these phenomena together, I will present a simple neurally-inspired computational model of visual event processing that may provide a helpful analogy for some features of language processing.
Cite as
Jeffrey M. Zacks. Toward Neurally-Inspired Computational Models of Narrative (Invited Talk). In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{zacks:OASIcs.CMN.2014.1,
author = {Zacks, Jeffrey M.},
title = {{Toward Neurally-Inspired Computational Models of Narrative}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {1--1},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.1},
URN = {urn:nbn:de:0030-drops-46419},
doi = {10.4230/OASIcs.CMN.2014.1},
annote = {Keywords: narrative, events, memory, fMRI}
}
Document
Invited Paper
Narrative in the Operations Process (Invited Paper)
Abstract
To counter the threat posed by adversary information activities, the U.S. Army has developed a new warfighting function, "engagement" which will institutionalize lessons learned over the past decade of warfare. Like mission command, sustainment, intelligence, or other warfighting functions that are critical to the successful prosecution of warfare, the ability to engage a population in a way that is credible, logical and emotional to people is far more likely to compel them to the national will than lethal options. The military as a whole, and more specifically the strategic land forces (consisting of the Army, Marine Corps and U.S. Special Operations Command), are now in the process of determining the best way to implement engagement as a full-fledged function of strategic landpower. This paper will make the case that narrative is one of the key elements of engagement.
The past ten years of conflict in Iraq and Afghanistan have taught the U.S. military that future wars of the 21st century will be characterized by low intensity conflicts in increasingly complex environments. In spite of the U.S. military's preponderance of power and overwhelming ability to dominate an adversary in traditional maneuver warfare, resilient insurgencies have demonstrated their potential to successfully conduct asymmetric warfare. This has proven successful, at least in the near term, when employed against U.S. and coalition forces. While the military has consistently fulfilled its responsibility to defeat the enemy's conventional forces and seize, occupy and defend land areas, it has not been as successful in the war of ideologies. We will outline how narrative should align to the military decision making process, and give an example of a successful narrative operation (Voices of Moderate Islam) that can serve as vignette for demonstrating how to conduct a narrative in U.S. led operations. We also make the case for greater academic focus on the topic of narrative in a military context: The acceptance of "engagement" as a function of warfare is still premature so a close cooperation is necessary between the military and academic disciplines that study narrative. Collaborative partnerships with academia will be critical. Finally, we argue that the doctrinal institutionalization of narrative as part of the military decision making process (MDMP) will enable military commanders to effectively achieve the desired goals of national policy.
Cite as
Sohail A. Shaikh and Robert D. Payne. Narrative in the Operations Process (Invited Paper). In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 2-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{shaikh_et_al:OASIcs.CMN.2014.2,
author = {Shaikh, Sohail A. and Payne, Robert D.},
title = {{Narrative in the Operations Process}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {2--8},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.2},
URN = {urn:nbn:de:0030-drops-46399},
doi = {10.4230/OASIcs.CMN.2014.2},
annote = {Keywords: narrative, engagement, military, operations, doctrine}
}
Document
Invited Report
What Makes Stories Similar? Report on a Research Project, 2011-2014 (Invited Report)
Abstract
We present a survey of the results and findings of the research project "What makes stories similar?" funded by the John Templeton Foundation from October 2011 to May 2014.
Cite as
Bernhard Fisseni and Benedikt Löwe. What Makes Stories Similar? Report on a Research Project, 2011-2014 (Invited Report). In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 9-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{fisseni_et_al:OASIcs.CMN.2014.9,
author = {Fisseni, Bernhard and L\"{o}we, Benedikt},
title = {{What Makes Stories Similar? Report on a Research Project, 2011-2014}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {9--12},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.9},
URN = {urn:nbn:de:0030-drops-46405},
doi = {10.4230/OASIcs.CMN.2014.9},
annote = {Keywords: narratives, similarity, empirical studies}
}
Document
A Task Based model for Récit Generation from Sensor Data: An Early Experiment
Abstract
Automatic story generation is the subject of a growing research effort. However, in this domain, stories are generally produced from fictional data. In this paper, we present a task model used for automatic story generation from real data focusing on the narrative planning. The aim is to generate récits (stories) from sensors data acquired during a ski sortie. The model and some preliminary analysis are presented which suggest the interest of the approach.
Cite as
Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, and Francois Portet. A Task Based model for Récit Generation from Sensor Data: An Early Experiment. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 13-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{baezmiranda_et_al:OASIcs.CMN.2014.13,
author = {Baez Miranda, Bel\'{e}n A. and Caffiau, Sybille and Garbay, Catherine and Portet, Francois},
title = {{A Task Based model for R\'{e}cit Generation from Sensor Data: An Early Experiment}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {13--23},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.13},
URN = {urn:nbn:de:0030-drops-46424},
doi = {10.4230/OASIcs.CMN.2014.13},
annote = {Keywords: narrative generation, task model, real world story analysis, ambient intelligence}
}
Document
A Character Model with Moral Emotions: Preliminary Evaluation
Abstract
In literary and drama criticism, emotions, and moral emotions in particular, have been pointed out as one of characterizing features of stories. In this paper, we propose to model story characters as value-based emotional agents, who appraise their own and others' actions based on their desires and values, and feel the appropriate moral emotions in response to narrative situations that challenge their goals and values.
In order to validate the appropriateness of the agent model for narrative characters, we ran an experiment with human participants aimed at comparing their expectations about characters' emotions with the predictions of the value-based model of emotional agent. The results of the experiment show that the participants' expectations meet the predictions of the model.
Cite as
Cristina Battaglino and Rossana Damiano. A Character Model with Moral Emotions: Preliminary Evaluation. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 24-41, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{battaglino_et_al:OASIcs.CMN.2014.24,
author = {Battaglino, Cristina and Damiano, Rossana},
title = {{A Character Model with Moral Emotions: Preliminary Evaluation}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {24--41},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.24},
URN = {urn:nbn:de:0030-drops-46436},
doi = {10.4230/OASIcs.CMN.2014.24},
annote = {Keywords: emotion models, virtual characters, moral emotions, empirical evaluation}
}
Document
Towards Empathic Neurofeedback for Interactive Storytelling
Abstract
Interactive Narrative is a form of digital entertainment based on AI techniques which support narrative generation and user interaction. Despite recent progress in the field, there is still a lack of unified models integrating narrative generation, user response and interaction. This paper addresses this issue by revisiting existing Interactive Narrative paradigms, granting explicit status to users' disposition towards story characters. We introduce a novel Brain-Computer Interface (BCI) design, which attempts to capture empathy for the main character in a way that is compatible with filmic theories of emotion. Results from two experimental studies with a fully-implemented system demonstrate the effectiveness of a neurofeedback-based approach, showing that subjects can successfully modulate their emotional support for a character who is confronted with challenging situations. A preliminary fMRI analysis also shows activation during user interaction, in regions of the brain associated with emotional control.
Cite as
Marc Cavazza, Gabor Aranyi, Fred Charles, Julie Porteous, Stephen Gilroy, Ilana Klovatch, Gilan Jackont, Eyal Soreq, Nimrod Jakob Keynan, Avihay Cohen, Gal Raz, and Talma Hendler. Towards Empathic Neurofeedback for Interactive Storytelling. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 42-60, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{cavazza_et_al:OASIcs.CMN.2014.42,
author = {Cavazza, Marc and Aranyi, Gabor and Charles, Fred and Porteous, Julie and Gilroy, Stephen and Klovatch, Ilana and Jackont, Gilan and Soreq, Eyal and Keynan, Nimrod Jakob and Cohen, Avihay and Raz, Gal and Hendler, Talma},
title = {{Towards Empathic Neurofeedback for Interactive Storytelling}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {42--60},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.42},
URN = {urn:nbn:de:0030-drops-46442},
doi = {10.4230/OASIcs.CMN.2014.42},
annote = {Keywords: brain-computer interfaces, neurofeedback, interactive narrative, affective computing}
}
Document
The Need for Multi-Aspectual Representation of Narratives in Modelling their Creative Process
Abstract
Existing approaches to narrative construction tend to apply basic engineering principles of system design which rely on identifying the most relevant feature of the domain for the problem at hand, and postulating an initial representation of the problem space organised around such a principal feature. Some features that have been favoured in the past include: causality, linear discourse, underlying structure, and character behavior. The present paper defends the need for simultaneous consideration of as many as possible of these aspects when attempting to model the process of creating narratives, together with some mechanism for distributing the weight of the decision processes across them. Humans faced with narrative construction may shift from views based on characters to views based on structure, then consider causality, and later also take into account the shape of discourse. This behavior can be related to the process of representational re-description of constraints as described in existing literature on cognitive models of the writing task. The paper discusses how existing computational models of narrative construction address this phenomenon, and argues for a computational model of narrative explicitly based on multiple aspects.
Cite as
Pablo Gervás and Carlos León. The Need for Multi-Aspectual Representation of Narratives in Modelling their Creative Process. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 61-76, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{gervas_et_al:OASIcs.CMN.2014.61,
author = {Gerv\'{a}s, Pablo and Le\'{o}n, Carlos},
title = {{The Need for Multi-Aspectual Representation of Narratives in Modelling their Creative Process}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {61--76},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.61},
URN = {urn:nbn:de:0030-drops-46459},
doi = {10.4230/OASIcs.CMN.2014.61},
annote = {Keywords: narrative construction, creative process, conceptual representation of narrative}
}
Document
Model of Narrative Nowness for Neurocinematic Experiments
Abstract
Cognitive neurosciences have made significant progress in learning about brain activity in situated cognition, thanks to adopting stimuli that simulate immersion in naturalistic conditions instead of isolated artificial stimuli. In particular, the use of films in neuroscientific experiments, a paradigm often referred to as "neurocinematics", has contributed to this success. The use of cinematic stimuli, however, has also revealed a fundamental shortcoming of neuroimaging studies: The lack of conceptual and methodological means to handle the viewers' experience of narrative events in their temporally extended contexts in the scale of full cinematic narrative, not to mention life itself. In order to give a conceptual structure to the issue of temporal contexts, we depart from the "neurophenomenological" approach to time consciousness by neurobiologist Francisco Varela, which in turn builds on Husserl's phenomenology of time. More specifically, we will discuss the experience of narrative tension, determined by backward-looking conceptualizing retention, and forward-looking anticipatory protention. Further, this conceptual structure is built into a preliminary mathematical model, simulating the dynamics of decaying and refreshing memory traces that aggregates a "retentive" perspective for each moment of nowness, which in turn may trigger anticipations for coming events, in terms of Varela and Husserl, protentions. The present tentative mathematical model is constructed using simple placeholder functions, with the intention that they would eventually be replaced by models based on empirical observations on the psychological capabilities that support narrative sensemaking. The final goal is a model that successfully simulates the way how the memory system maintains narrative tension beyond the transient nowness window, and thereby allows mappings to observed brain activity with a rich temporal system of narrative contexts.
Cite as
Janne Kauttonen, Mauri Kaipainen, and Pia Tikka. Model of Narrative Nowness for Neurocinematic Experiments. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 77-87, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{kauttonen_et_al:OASIcs.CMN.2014.77,
author = {Kauttonen, Janne and Kaipainen, Mauri and Tikka, Pia},
title = {{Model of Narrative Nowness for Neurocinematic Experiments}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {77--87},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.77},
URN = {urn:nbn:de:0030-drops-46461},
doi = {10.4230/OASIcs.CMN.2014.77},
annote = {Keywords: computational, neurocinematics, narrative, retention, protention}
}
Document
Mindreading, Privileged Access and Understanding Narratives
Abstract
In this paper we first offer a task analysis of the false belief test including the bidirectional relationship between mindreading and language. Following this we present our theory concerning Quinian bootstrapping of the meaning of mental state terms and relate it to the task-analytic framework. Finally we present an experiment on ascribing privileged access through minimal narratives which is intended to serve as a test of our theory.
Cite as
Szabolcs Kiss and Zoltán Jakab. Mindreading, Privileged Access and Understanding Narratives. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 88-105, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{kiss_et_al:OASIcs.CMN.2014.88,
author = {Kiss, Szabolcs and Jakab, Zolt\'{a}n},
title = {{Mindreading, Privileged Access and Understanding Narratives}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {88--105},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.88},
URN = {urn:nbn:de:0030-drops-46475},
doi = {10.4230/OASIcs.CMN.2014.88},
annote = {Keywords: mindreading, false belief attribution, privileged access, minimal narratives}
}
Document
A Hybrid Representational Proposal for Narrative Concepts: A Case Study on Character Roles
Abstract
In this paper we propose the adoption of a hybrid approach to the computational representation of narrative concepts, combining prototype-based and ontology-based representations. In particular we focus on the notion of narrative roles. Inspired by the characterization provided by the TvTropes wiki, where narrative devices are discussed across old and new media, we provide a representation of roles based on the integration of a set of typicality-based semantic dimensions (represented by using the Conceptual Spaces framework) with their corresponding classical characterization in terms of necessary and sufficient conditions (represented in terms of Formal Ontologies).
Cite as
Antonio Lieto and Rossana Damiano. A Hybrid Representational Proposal for Narrative Concepts: A Case Study on Character Roles. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 106-115, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{lieto_et_al:OASIcs.CMN.2014.106,
author = {Lieto, Antonio and Damiano, Rossana},
title = {{A Hybrid Representational Proposal for Narrative Concepts: A Case Study on Character Roles}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {106--115},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.106},
URN = {urn:nbn:de:0030-drops-46484},
doi = {10.4230/OASIcs.CMN.2014.106},
annote = {Keywords: knowledge representation, prototypes, narrative models, conceptual spaces, ontologies}
}
Document
Modeling the Function of Narrative in Expertise
Abstract
The use of narrative is ubiquitous in the development, exercise, and communication of expertise. Expertise and narrative, as complex cognitive capacities, have each been investigated quite deeply, but little attention has been paid to their interdependence. We offer here the position that treating these two domains together can fruitfully inform the modeling of expert cognition and behavior, and present the framework we have been using to develop this approach, the SGOMS macro-cognitive architecture. Finally, we briefly explore the role of narrative in an SGOMS model of cooperative video game playing.
Cite as
W. Korey MacDougall, Robert L. West, and Christopher Genovesi. Modeling the Function of Narrative in Expertise. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 116-120, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{macdougall_et_al:OASIcs.CMN.2014.116,
author = {MacDougall, W. Korey and West, Robert L. and Genovesi, Christopher},
title = {{Modeling the Function of Narrative in Expertise}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {116--120},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.116},
URN = {urn:nbn:de:0030-drops-46492},
doi = {10.4230/OASIcs.CMN.2014.116},
annote = {Keywords: expertise, narrative, cognitive modeling, distributed cognition, macro cognition, multiagent systems}
}
Document
Plot Analysis for Describing Punch Line Functions in Shinichi Hoshi's Microfiction
Abstract
This paper proposes a method of describing narrative structure, that focuses on the behavior of the characters in the story. It also proposes to assign the concepts of focus, polarity, dynamic, motivation, and result as attributes of behavior. Utilizing these attributes, the plots of short-short stories by Shinichi Hoshi can be represented formally. Moreover, the method presented here shows that some reversal punch-line patterns can be described using the data captured from plot representations.
Cite as
Hajime Murai. Plot Analysis for Describing Punch Line Functions in Shinichi Hoshi's Microfiction. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 121-129, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{murai:OASIcs.CMN.2014.121,
author = {Murai, Hajime},
title = {{Plot Analysis for Describing Punch Line Functions in Shinichi Hoshi's Microfiction}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {121--129},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.121},
URN = {urn:nbn:de:0030-drops-46508},
doi = {10.4230/OASIcs.CMN.2014.121},
annote = {Keywords: plot, narratology, punch lines, quantificational analysis}
}
Document
A Flexible Framework for the Creation of Narrative-Centered Tools
Abstract
To better support the creation of narrative-centered tools, developers need a flexible framework to integrate, catalog, select, and reuse narrative models. Computational models of narrative enable the creation of software tools to aid narrative processing, analysis, and generation. Narrative-centered tools explicitly or implicitly embody one or more models of narrative by their definition. However, narrative model creation is often expensive and difficult with no guaranteed benefit to the end system. This paper describes our preliminary approach towards creating the SONNET narrative framework, a flexible framework to integrate, catalog, select, and reuse narrative models, thereby lowering development costs and improving benefits from each model. The framework includes a lightweight ontology language for the definition of key terms and interrelationships among them. The framework specifies model metadata to allow developers to discover and understand models more readily. We discuss the structure of this framework and ongoing development incorporating narrative models.
Cite as
James Niehaus, Victoria Romero, David Koelle, Noa Palmon, Bethany Bracken, Jonathan Pfautz, Scott Neal Reilly, and Peter Weyhrauch. A Flexible Framework for the Creation of Narrative-Centered Tools. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 130-138, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{niehaus_et_al:OASIcs.CMN.2014.130,
author = {Niehaus, James and Romero, Victoria and Koelle, David and Palmon, Noa and Bracken, Bethany and Pfautz, Jonathan and Reilly, Scott Neal and Weyhrauch, Peter},
title = {{A Flexible Framework for the Creation of Narrative-Centered Tools}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {130--138},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.130},
URN = {urn:nbn:de:0030-drops-46511},
doi = {10.4230/OASIcs.CMN.2014.130},
annote = {Keywords: computational narrative, narrative analysis framework, narrative ontology, narrative models}
}
Document
Applying Qualitative Research Methods to Narrative Knowledge Engineering
Abstract
We propose a methodology for knowledge engineering for narrative intelligence systems, based on techniques used to elicit themes in qualitative methods research. Our methodology uses coding techniques to identify actions in natural language corpora, and uses these actions to create planning operators and procedural knowledge, such as scripts. In an iterative process, coders create a taxonomy of codes relevant to the corpus, and apply those codes to each element of that corpus. These codes can then be combined into operators or other narrative knowledge structures. We also describe the use of this methodology in the context of Dramatis, a narrative intelligence system that required STRIPS operators and scripts in order to calculate human suspense responses to stories.
Cite as
Brian O'Neill and Mark Riedl. Applying Qualitative Research Methods to Narrative Knowledge Engineering. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 139-153, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{oneill_et_al:OASIcs.CMN.2014.139,
author = {O'Neill, Brian and Riedl, Mark},
title = {{Applying Qualitative Research Methods to Narrative Knowledge Engineering}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {139--153},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.139},
URN = {urn:nbn:de:0030-drops-46528},
doi = {10.4230/OASIcs.CMN.2014.139},
annote = {Keywords: narrative intelligence, qualitative methods, coding, knowledge engineering}
}
Document
Gathering Background Knowledge for Story Understanding through Crowdsourcing
Abstract
Successfully comprehending stories involves integration of the story information with the reader's own background knowledge. A prerequisite, then, of building automated story understanding systems is the availability of such background knowledge. We take the approach that knowledge appropriate for story understanding can be gathered by sourcing the task to the crowd. Our methodology centers on breaking this task into a sequence of more specific tasks, so that human participants not only identify relevant knowledge, but also convert it into a machine-readable form, generalize it, and evaluate its appropriateness. These individual tasks are presented to human participants as missions in an online game, offering them, in this manner, an incentive for their participation. We report on an initial deployment of the game, and discuss our ongoing work for integrating the knowledge gathering task into a full-fledged story understanding engine.
Cite as
Christos T. Rodosthenous and Loizos Michael. Gathering Background Knowledge for Story Understanding through Crowdsourcing. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 154-163, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{rodosthenous_et_al:OASIcs.CMN.2014.154,
author = {Rodosthenous, Christos T. and Michael, Loizos},
title = {{Gathering Background Knowledge for Story Understanding through Crowdsourcing}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {154--163},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.154},
URN = {urn:nbn:de:0030-drops-46537},
doi = {10.4230/OASIcs.CMN.2014.154},
annote = {Keywords: story understanding, knowledge representation, crowdsourcing, reasoning}
}
Document
Where Story and Media Meet: Computer Generation of Narrative Discourse
Abstract
Story generation (including interactive narrative) consists of creating a narrative experience on computer by generating narrative events. It requires building an abstract computational model that can generate a variety of narrative events from a limited set of authored content. These models implement a "story logic", as they formalize the occurrence of an event in the story according to various algorithms. At the same time, these stories aim to be expressed to an audience using digital media, which requires a medium logic. In this contribution, we look at the relation between story logic and medium logic in the production of mediated narrative discourse. Using the terminology of Russian formalists and a metaphor borrowed from
cinema production, we introduce three models of increasing complexity. In the first model, the story logic (fabulist) creates a fabula which is performed by the medium logic (director) to a screenplay then to the screen. In the second model, the story logic (screenwriter) generates a sjuzhet composed of narrative discourse acts that are staged by the medium logic (director). In the third model, the story and medium logics communicate bidirectionally as co-authors of the screenplay in order to render the story optimally.
Cite as
Remi Ronfard and Nicolas Szilas. Where Story and Media Meet: Computer Generation of Narrative Discourse. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 164-176, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{ronfard_et_al:OASIcs.CMN.2014.164,
author = {Ronfard, Remi and Szilas, Nicolas},
title = {{Where Story and Media Meet: Computer Generation of Narrative Discourse}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {164--176},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.164},
URN = {urn:nbn:de:0030-drops-46540},
doi = {10.4230/OASIcs.CMN.2014.164},
annote = {Keywords: narratology, interactive drama, media adaptation}
}
Document
A Cognitive Approach to Narrative Planning with Believable Characters
Abstract
In this work, we address the question of generating understandable narratives using a cognitive approach. The requirements of cognitive plausibility are presented. Then an abduction-based cognitive model of the human deliberative reasoning ability is presented. We believe that implementing such a procedure in a narrative context to generate plans would increase the chances that the characters will be perceived as believable. Our suggestion is that the use of a deliberative reasoning procedure can be used as a basis of several strategies to generate interesting stories.
Cite as
Antoine Saillenfest and Jean-Louis Dessalles. A Cognitive Approach to Narrative Planning with Believable Characters. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 177-181, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{saillenfest_et_al:OASIcs.CMN.2014.177,
author = {Saillenfest, Antoine and Dessalles, Jean-Louis},
title = {{A Cognitive Approach to Narrative Planning with Believable Characters}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {177--181},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.177},
URN = {urn:nbn:de:0030-drops-46556},
doi = {10.4230/OASIcs.CMN.2014.177},
annote = {Keywords: narrative planning, believability, cognitive approach, abduction}
}
Document
Legal Knowledge Conveyed by Narratives: Towards a Representational Model
Abstract
The paper investigates a representational model for narratives, aiming to facilitate the acquisition of the systematic core of stories concerning legal cases, i.e. the set of causal and temporal relationships that govern the world in which the narrated scenario takes place. At the discourse level, we consider narratives as sequences of "messages" collected in an "observation", including descriptions of agents, of agents' behaviour and of "mechanisms" relative to physical, mental and institutional domains. At the content level, stories correspond to synchronizations of embodied "agent-roles" scripts. Following this approach, the "Pierson v Post" case is analyzed in detail and represented as a Petri net.
Cite as
Giovanni Sileno, Alexander Boer, and Tom van Engers. Legal Knowledge Conveyed by Narratives: Towards a Representational Model. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 182-191, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{sileno_et_al:OASIcs.CMN.2014.182,
author = {Sileno, Giovanni and Boer, Alexander and van Engers, Tom},
title = {{Legal Knowledge Conveyed by Narratives: Towards a Representational Model}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {182--191},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.182},
URN = {urn:nbn:de:0030-drops-46567},
doi = {10.4230/OASIcs.CMN.2014.182},
annote = {Keywords: story representation, story acquisition, legal narratives, knowledge representation, agent-roles, causation, expectations, agent-based modeling, petri}
}
Document
Multilevel Accentuation and its Role in the Memorization of Narrative
Abstract
The paper is dedicated to the phenomenon of accentuation on multiple narrative levels. Accentuation is a textual device that indicates the elements of narrative that have to be memorized by readers. It is different from the well known notion of foregrounding, as accentuation does not violate the norm, but, on the contrary, is in itself conventional. While foregrounding draws readers' attention involuntarily, the accentuation is a way of facilitating the work of voluntary attention. In this latter case a text as if takes on itself a part of the unpleasant burden of purposeful concentrating of attention, so that the reading process becomes more comfortable. The paper describes the general principles of accentuation and also presents a typology of accentuation devices, based on a six-level model of narrative. It encompasses five main types (three syntactic ones and two semantic ones), including numerous subcategories.
Cite as
Oleg Sobchuk. Multilevel Accentuation and its Role in the Memorization of Narrative. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 192-208, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{sobchuk:OASIcs.CMN.2014.192,
author = {Sobchuk, Oleg},
title = {{Multilevel Accentuation and its Role in the Memorization of Narrative}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {192--208},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.192},
URN = {urn:nbn:de:0030-drops-46570},
doi = {10.4230/OASIcs.CMN.2014.192},
annote = {Keywords: accentuation, attention, memory, level model of narrative}
}
Document
Modifying Entity Relationship Models for Collaborative Fiction Planning and its Impact on Potential Authors
Abstract
We propose a modified Entity Relationship (E-R) model, traditionally used for software engineering, to structure, store and share plot data. The flexibility of E-R modelling has been demonstrated by its decades of usage in a wide variety of situations. The success of the E-R model suggests that it could be useful for collaborating fiction authors, adding a certain degree of computational power to their process. We changed the E-R model syntax to better suit the story
plans, switching the emphasis from generic types to instanced story entities, but preserving relationships and attributes. We conducted a small-scale basic experiment to study the impact of using our modified E-R model on authors when understanding and contributing into a pre-existing fiction story plan. The results analysis revealed that the E-R model supports authors as effectively as written text in reading comprehension, memory, and contributing. In addition, the results show that, when combined together, the written text and the E-R model help participants achieve better comprehension--always within the frame
of our experiment. We discuss potential applications of these findings.
Cite as
Alan Tapscott, Joaquim Colàs, Ayman Moghnieh, and Josep Blat. Modifying Entity Relationship Models for Collaborative Fiction Planning and its Impact on Potential Authors. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 209-221, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{tapscott_et_al:OASIcs.CMN.2014.209,
author = {Tapscott, Alan and Col\`{a}s, Joaquim and Moghnieh, Ayman and Blat, Josep},
title = {{Modifying Entity Relationship Models for Collaborative Fiction Planning and its Impact on Potential Authors}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {209--221},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.209},
URN = {urn:nbn:de:0030-drops-46588},
doi = {10.4230/OASIcs.CMN.2014.209},
annote = {Keywords: storytelling, story planning, Entity Relationship Model}
}
Document
A Cognitive Framework for Understanding Counterintuitive Stories
Abstract
Stories containing counterintuitive concepts are prevalent in a variety of cultural forms including folktales, TV and radio commercials, and religious parables. Cognitive scientists such as Boyer suggest that this may be because counterintuitive concepts are surprising and more memorable for people and therefore are more likely to become widespread in a culture. How and why people remember such concepts has been subject of some debate. This paper presents studies designed to test predictions of the context-based model of counterintuitive story understanding.
Cite as
M. Afzal Upal. A Cognitive Framework for Understanding Counterintuitive Stories. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 222-240, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{upal:OASIcs.CMN.2014.222,
author = {Upal, M. Afzal},
title = {{A Cognitive Framework for Understanding Counterintuitive Stories}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {222--240},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.222},
URN = {urn:nbn:de:0030-drops-46595},
doi = {10.4230/OASIcs.CMN.2014.222},
annote = {Keywords: counterintuitive concepts, memory}
}
Document
Finding Stories in 1,784,532 Events: Scaling Up Computational Models of Narrative
Abstract
Information professionals face the challenge of making sense of an ever increasing amount of information. Storylines can provide a useful way to present relevant information because they reveal explanatory relations between events. In this position paper, we present and discuss the four main challenges that make it difficult to get to these stories and our first ideas on how to start resolving them.
Cite as
Marieke van Erp, Antske Fokkens, and Piek Vossen. Finding Stories in 1,784,532 Events: Scaling Up Computational Models of Narrative. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 241-245, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{vanerp_et_al:OASIcs.CMN.2014.241,
author = {van Erp, Marieke and Fokkens, Antske and Vossen, Piek},
title = {{Finding Stories in 1,784,532 Events: Scaling Up Computational Models of Narrative}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {241--245},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.241},
URN = {urn:nbn:de:0030-drops-46601},
doi = {10.4230/OASIcs.CMN.2014.241},
annote = {Keywords: big data, news, aggregation, story detection}
}
Document
Narratives as a Fundamental Component of Consciousness
Abstract
In this paper, we propose a conceptual architecture that models human (spatially-temporally-modally) cohesive narrative development using a computer representation of quale properties. Qualia are proposed to be the fundamental "cognitive" components humans use to generate cohesive narratives. The engineering approach is based on cognitively inspired technologies and incorporates the novel concept of quale representation for computation of primitive cognitive components of narrative. The ultimate objective of this research is to develop an architecture that emulates the human ability to generate cohesive narratives with incomplete or perturbated information.
Cite as
Sandra L. Vaughan, Robert F. Mills, Michael R. Grimaila, Gilbert L. Peterson, and Steven K. Rogers. Narratives as a Fundamental Component of Consciousness. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 246-250, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{vaughan_et_al:OASIcs.CMN.2014.246,
author = {Vaughan, Sandra L. and Mills, Robert F. and Grimaila, Michael R. and Peterson, Gilbert L. and Rogers, Steven K.},
title = {{Narratives as a Fundamental Component of Consciousness}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {246--250},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.246},
URN = {urn:nbn:de:0030-drops-46612},
doi = {10.4230/OASIcs.CMN.2014.246},
annote = {Keywords: cognitive simulation, computational model, qualia}
}
Document
A Computational Narrative Analysis of Children-Parent Attachment Relationships
Abstract
Children narratives implicitly represent their experiences and emotions. The relationships infants establish with their environment will shape their relationships with others and the concept of themselves. In this context, the Attachment Story Completion Task (ASCT) contains a series of unfinished stories to project the self in relation to attachment. Unfinished story procedures present a dilemma which needs to be solved and a codification of the secure, secure/insecure or insecure attachment categories. This paper analyses a story-corpus to explain 3 to 6 year old children-parent attachment relationships. It is a computational approach to exploring attachment representational models in two unfinished story-lines: "The stolen bike" and "The present". The resulting corpora contains 184 stories in one corpus and 170 stories in the other. The Latent Semantic Analysis (LSA) and Linguistic Inquiry and Word Count (LIWC) computational frameworks observe the emotions which children project. As a result, the computational analysis of the children mental representational model, in both corpora, have shown to be comparable to expert judgements in attachment categorization.
Cite as
Iraide Zipitria and Nerea Portu-Zapirain. A Computational Narrative Analysis of Children-Parent Attachment Relationships. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 251-268, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
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@InProceedings{zipitria_et_al:OASIcs.CMN.2014.251,
author = {Zipitria, Iraide and Portu-Zapirain, Nerea},
title = {{A Computational Narrative Analysis of Children-Parent Attachment Relationships}},
booktitle = {2014 Workshop on Computational Models of Narrative},
pages = {251--268},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.251},
URN = {urn:nbn:de:0030-drops-46623},
doi = {10.4230/OASIcs.CMN.2014.251},
annote = {Keywords: latent semantic analysis, LIWC, representational models, attachment relationships, unfinished stories}
}