COLLAGEN: Applying Collaborative Discourse Theory to Human-Computer Interaction

By Charles Rich, C. Sidner, Neal Lesh. The AI Magazine, 2001

367 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a1fe2b5095c4fb776e4e4fcf7dbfb6eaed66bbfa

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In Artificial Intelligence

Citations in the corpus

Effects of anticipatory action on human-robot teamwork: Efficiency, fluency, and perception of team (2007, background): “[ 19 , 21]). Still, the question of fluency in action meshing has not been part of this corpus.”
The RavenClaw dialog management framework: Architecture and systems (2009, methodology): “Architecturally, RavenClaw is perhaps most similar to Collagen (Rich and Sidner, 1998; Rich et al., 2001).”
Task-Oriented Dialogue as Dataflow Synthesis (2020, background): “The only systems to attempt full versions of this shared-plans framework (e.g. Allen et al., 1996; Rich et al., 2001) required inputs that could be parsed under a predefined grammar.”
Recognizing engagement in human-robot interaction (2010, methodology): “We used Collagen [18] for the cognitive component of the robot.”
Where to look: a study of human-robot engagement (2004, methodology): “The architecture is illustrated in Figure 2. The conversational and collaborative capabilities of our robot are provided by the CollagenTM middleware for collaborative agents [15, 16 ], and”
Cost-Based Anticipatory Action Selection for Human–Robot Fluency (2007, background): “[ 12 ], [13]). Still, the question of fluency in action meshing has not been part of this corpus.”
Neural Approaches to Conversational AI (2018, neutral): “rature on managing (spoken) dialogue systems. A comprehensive survey is out of the scope of the this chapter. Interested readers are referred to earlier examples (Cole, 1999; Larsson and Traum, 2000; Rich et al., 2001; Bos et al., 2003; Bohus and Rudnicky, 2009), as well as excellent surveys like Mc”