Human conversation as a system framework: designing embodied conversational agents

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Generative Spoken Dialogue Language Modeling (2022, methodology): “Simple turn-taking models using finite-state machines have been proposed to predict the distribution and durations of turn-taking events (Cassell et al., 2001; Thórisson, 2002; Raux and Eskenazi, 2009).”
Synthesizing multimodal utterances for conversational agents (2004, background): “In current conversational agents, co-verbal gestures are usually created for the rhematic elements in speech by mapping communicative acts onto gestural behaviours drawn from static libraries.(2,3) Due to the demand for realism and real-time capability, such behaviours are associated with animations”
Designing sociable robots (2002, background): “I’ve had so many useful discussions with my colleagues over the years in the Mobile Robots Group and the Humanoid Robotics Group at MIT.”
Relational agents: a model and implementation of building user trust (2001, methodology): “AN IMPLEMENTATION: TRUST ELICITATION THROUGH SMALL TALK IN REA REA is a real-time, multimodal, life-sized ECA, and her design is based on the FMTB model [7, 8].”
A Conversational Agent as Museum Guide - Design and Evaluation of a Real-World Application (2005, methodology): “Some ECAs take a deep generation approach to generation, like the real estate agent REA [ 4] that was capable of understanding speech and gesture and of planning multimodal utterances from propositional representations of meaning.”