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Emotional Input for Character-based Interactive Storytelling
"... In most Interactive Storytelling systems, user interaction is based on natural language communication with virtual agents, either through isolated utterances or through dialogue. Natural language communication is also an essential element of interactive narratives in which the user is supposed to im ..."
Abstract
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Cited by 7 (7 self)
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In most Interactive Storytelling systems, user interaction is based on natural language communication with virtual agents, either through isolated utterances or through dialogue. Natural language communication is also an essential element of interactive narratives in which the user is supposed to impersonate one of the story’s characters. Whilst techniques for narrative generation and agent behaviour have made significant progress in recent years, natural language processing remains a bottleneck hampering the scalability of Interactive Storytelling systems. In this paper, we introduce a novel interaction technique based solely on emotional speech recognition. It allows the user to take part in dialogue with virtual actors without any constraints on style or expressivity, by mapping the recognised emotional categories to narrative situations and virtual characters feelings. Our Interactive
What’s Next? Emergent Storytelling from Video Collections
- In Proc. CHI2009, ACM Press (2009
"... Figure 1: Three steps in the edit-by-recommendation functionality In the world of visual storytelling, narrative development relies on a particular temporal ordering of shots and sequences and scenes. Rarely is this ordering cast in stone. Rather, the particular ordering of a story reflects a myriad ..."
Abstract
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Cited by 1 (1 self)
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Figure 1: Three steps in the edit-by-recommendation functionality In the world of visual storytelling, narrative development relies on a particular temporal ordering of shots and sequences and scenes. Rarely is this ordering cast in stone. Rather, the particular ordering of a story reflects a myriad of interdependent decisions about the interplay of structure, narrative arc and character development. For storytellers, particularly those developing their narratives from large documentary archives, it would be helpful to have a visualization system partnered with them to present suggestions for the most compelling story path. We present Storied Navigation, a video editing system that helps authors compose a sequence of scenes that tell a story, by selecting from a corpus of annotated clips. The clips are annotated in unrestricted natural language. Authors can also type a story in unrestricted English, and the system finds possibilities for clips that best match high-level elements of the story. Beyond simple keyword matching, these elements can include the characters, emotions, themes, and story structure. Authors can also interactively replace existing scenes or predict the next scene to continue a story, based on these characteristics. Storied Navigation gives the author the feel of brainstorming about the story rather than simply editing the media.

