Evolving Lattices for Analyzing Behavioral Dynamics of Characters in Literary Text

Kitamura, Eugene S.; Gunji, Yukio Pegio

doi:10.31269/triplec.v9i2.306

Cited by 1 publication

(2 citation statements)

References 11 publications

(10 reference statements)

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“…In this study, we use rough set induction bundles, which is a concept advocated by Gunji and Haruna [24] to explore human cognitive characteristics, to analyze the visual images. Furthermore, this model has already been used for analyzing the cognition of characters appearing in literary works [25] and ambiguous figures [26].…”

Section: Rough Set Induction Bundlesmentioning

confidence: 99%

“…This rough set induction lattice has been used to analyze the figure and ground relationships and ambiguity in human recognition. Kitamura et al [25] analyzed the figure and ground relationships of characters appearing in literary works using rough set induction lattices. In the present study, to determine the figure and ground relationships in one scene of a literary work, we applied the two interpretations of "appearing character" and "verb" in relation to the text to derive the lattice.…”

Section: Rough Set Induction Bundlesmentioning

confidence: 99%

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Experimental Disproof of a Manga Character Construction Model

Matsui

Gunji

2021

Symmetry

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In prior works, the impression of elements of virtual agents/manga character and the overall impression of virtual agents/manga character were considered completely symmetric. In this work, we conducted a preliminary experiment to develop a system that creates designs of virtual agents depending on a text. In this experiment, the participants read the text and chose the image of an agent and social group that resembled their mental image. We introduced the lattice derived by the rough set induction method to suggest the model to analyze the mental image. In this model, we constructed the lattice from two interpretations to evaluate the complexity of the mental image generation process. As a result, the lattices derived by social groups and appearance were non-Boolean; however, those derived by two kinds of design features were not non-Boolean. This result shows that the mental appearance and social images cannot be combined voluntarily. This result showed that it is not symmetric between each element of virtual agents/manga character and overall virtual agents/manga character.

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Section: Rough Set Induction Bundlesmentioning

confidence: 99%

Section: Rough Set Induction Bundlesmentioning

confidence: 99%