Computational Model of Believable Conversational Agents

Pélachaud, Catherine; Bilvi, Massimo

doi:10.1007/978-3-540-44972-0_17

Cited by 51 publications

(44 citation statements)

References 10 publications

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“…We have conducted experiments in that direction, by using the conversational agents developed in Pelachaud and Bilvi (2003) as part of the theatre (Szilas and Mancini 2005). Also, an integration of the narrative engine described here with a commercial game engine is currently under development.…”

Section: Which Media?mentioning

confidence: 99%

A Computational Model of an Intelligent Narrator for Interactive Narratives

Szilas

2007

Applied Artificial Intelligence

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Section: Which Media?mentioning

confidence: 99%

A Computational Model of an Intelligent Narrator for Interactive Narratives

Szilas

2007

Applied Artificial Intelligence

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“…With their development of "Greta" Pelachaud & Bilvi (2003) are mainly concerned with believability of conversational agents. To guarantee that Greta's facial expressions are always consistent with the situational context, de Rosis, Pelachaud, Poggi, Carofiglio & de Carolis (2003) model Greta's "mind" based on the BDI-approach.…”

Section: Related Workmentioning

confidence: 99%

Affective computing with primary and secondary emotions in a virtual human

Becker-Asano

Wachsmuth

2009

Auton Agent Multi-Agent Syst

148

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We introduce the WASABI 1 Affect Simulation Architecture, in which a virtual human's cognitive reasoning capabilities are combined with simulated embodiment to achieve the simulation of primary and secondary emotions. In modeling primary emotions we follow the idea of "Core Affect" in combination with a continuous progression of bodily feeling in three-dimensional emotion space (PAD space), that is subsequently categorized into discrete emotions. In humans, primary emotions are understood as onto-genetically earlier emotions, which directly influence facial expressions. Secondary emotions, in contrast, afford the ability to reason about current events in the light of experiences and expectations. By technically representing aspects of each secondary emotion's connotative meaning in PAD space, we not only assure their mood-congruent elicitation, but also combine them with facial expressions, that are concurrently driven by primary emotions. Results of an empirical study suggest that human players in a card game scenario judge our virtual human MAX significantly older when secondary emotions are simulated in addition to primary ones.

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“…This has encouraged researchers to build computational models and incorporate them into their agents' decision process. Implemented models include group dynamics [13], social role awareness [14], social relationship [2], politeness [24], emotion [7], [12] and personality, which tends to factor into many of these other models.…”

Section: Related Workmentioning

confidence: 99%

Social Puppets: Towards Modular Social Animation for Agents and Avatars

Vilhjálmsson

Merchant

Samtani

2007

Online Communities and Social Computing

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Abstract. State-of-the-art computer graphics can give autonomous agents a compelling appearance as animated virtual characters. Typically the agents are directly responsible for controlling their graphical representation, but this places too much burden on the agents that already deal with difficult high-level tasks such as dialog planning. This paper presents work, done in the context of an interactive language and culture training system, on a new kind of engine that fits between the high level cognitive agent models and the animated graphics that represent them. This is a social engine that generates socially appropriate nonverbal behavior based on rules reflecting social norms. Similar to modular physics engines, the social engine introduces a re-usable component that can heighten believability of animated agents in games and simulations with relatively little effort.

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Computational Model of Believable Conversational Agents

Cited by 51 publications

References 10 publications

A Computational Model of an Intelligent Narrator for Interactive Narratives

A Computational Model of an Intelligent Narrator for Interactive Narratives

Affective computing with primary and secondary emotions in a virtual human

Social Puppets: Towards Modular Social Animation for Agents and Avatars

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