Virtual Actors are at the heart of Interactive Storytelling systems and in recent years multiple approaches have been described to specify their autonomous behaviour. One well known problem is how to achieve a balance between the characters’ autonomy, defined in terms of their individual roles and motivations, and the global structure of the plot, which tends to emphasise narrative phenomena an...

Characters form the focus of various studies of literary works, including social network analysis, archetype induction, and plot comparison. The recent rise in the computational modelling of literary works has produced a proportional rise in the demand for character-annotated literary corpora. However, automatically identifying characters is an open problem and there is low availability of lite...

Agarwal and Venkatesh (2002) Website Quality • Content [Relevance, Media Use, Depth/Breath and Current Information] • Ease of Use [Goals, Structure and Feedback] • Promotion • Made-for-the-Medium [Community, Personalization and Refinement] • Emotion [Challenge, Plot, Character Strength and Pace] Online Shopping and Content based Website Microsoft Usability Guidelines [MUG] (Keeker 1997) Empirical

In this work, we revisit the duality between character and plot in Interactive Storytelling, and demonstrate the important role of social relationships between virtual characters in the generation of narrative: an aspect that has hitherto been overlooked as a generation mechanism. We argue that the structure of social relationships between characters can be used as a powerful mechanism to deter...

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This paper poses a number of questions that center on the relationship between narrative in an interactive environment and the representations and reasoning processes that AI researchers might bring to bear to create and maintain such narrative experiences. Narrative Structure and the Representations of Actions and Plans Narrative theorists (Rimmon-Keenan, 1998, Bal 1999) characterize the build...

abstract. in this paper, we classify all of the finite p-groups with at most three non linear irreducible character kernels.

Pattern matching has been used extensively for many machine vision applications such as optical character recognition, face detection, object detection, and defect detection. The normalized cross correlation (NCC) is the most commonly used technique in pattern matching. However, it is computationally intensive, sensitive to environmental changes such as lighting and shifting, and suffers from f...