Emotion and personality in a conversational agent

By G. Ball, J. Breese. 2001

274 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Designing sociable robots (2002, methodology): “In later work at Microsoft Research, Ball and Breese (2000) explored incorporating emotion and personality into conversation agents using a Baysian network technique.”
Avoiding the uncanny valley: robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion (2008, methodology): “This notion has been commonly adopted in the design and use of virtual agents, where consistent agent personality, often analogous to human personality have been used a means to create a more intuitive and engaging interface (Ball & Breeze, 2000).”
Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents (2003, background): “Along the personality dimension, Ball and Breese (2000) have experimented with Bayesian networks to model the emotion and personality of a user, and then to choose corresponding responses on the part of a system.”
ALMA: a layered model of affect (2005, background): “The computed affective characteristics are represented in AffectML and can be processed by sub-sequent modules that control the cognitive processes and physical behavior of embodied conversational characters.”
From Greta's mind to her face: modelling the dynamics of affective states in a conversational embodied agent (2003, background): “Belief networks have already been applied to represent external expression of emotions (Ball and Breese, 2000).”