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In “Virtual Babyz: Believable agents with narrative intelligence,” Stern de-
scribes a character-centric approach to interactive fiction, constructing inter-
active agents that allow simple plot to emerge from their interactions with one
another and the user. He concludes that it is possible to use this to generate
loose interactive plots, but that more support for top-down management of
plot is needed in order to create tight, well-crafted plots.
Digital interactive video
For digital interactive video, systems automatically construct videos from a
database of video clips with interactive guidance from the user. These are
closely related to interactive storytelling systems, but face their own range of
technical problems because of the use of video material. In Davenport's Au-
tonomist Storyteller System (Davenport & Murtaugh 1997), each video clip is
annotated to specify its potential run-time use in a narrative sequence. A search
engine assembles the clips into a narrative sequence in real-time. In Synthetic
Interviews (Marinelli & Stevens 1998), annotated clips are retrieved in response
to utterances processed by a speech recognition engine. This allows a user to
have a conversation with video characters; this conversation can be part of a
story arc.
In “The recombinant history apparatus presents Terminal Time,” Domike,
Mateas and Vanouse describe a system which constructs ideologically-biased
documentary histories from a database of video and audio material.
In “The Rise and Fall of Black Velvet Flag: An 'intelligent' system for youth
culture documentary,” Schiffer describes an interactive video system which al-
lows a user to explore their own paths through a database of documentary
materials.
Narrative for meta-analysis
AI researchers are people, too. As such, narrative plays an important role in AI
research. Some researchers, particularly in cultural studies, study the kinds of
narratives AI researchers use in talking about their own work, and how such
narratives are woven into choices about what kind of research is worth pursu-
ing (Hayles 1999; Helmreich 1998; Doyle 1997; Sack 1997). A number of AI re-
searchers in turn believe that studying the narratives AI researchers themselves
tell can lead to a better self-understanding for AI, and, in turn, yield better AI
research (Agre 1997, Sengers 1998, Mateas 2001).
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