A plan-based agent architecture for interpreting natural language dialogue

Ardissono, Liliana; Boella, Guido; Lesmo, Leonardo

doi:10.1006/ijhc.1999.0347

Cited by 13 publications

(8 citation statements)

References 35 publications

(46 reference statements)

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“…A dialogue is usually characterized by collaborative interactions between the agents. Theoretical models endorse the notion that dialogue coherence is supported by cooperation and balance among agents at each step of the interaction [35] . Without being aware of doing so in social situations, people tend to mimic others laughter [36] and verbal behavior [37] – [39] , in a mutual adaptation of linguistic, prosodic, and nonverbal features (for a review, see [40] ).…”

Section: Discussionmentioning

confidence: 99%

Judgment of the Humanness of an Interlocutor Is in the Eye of the Beholder

Lortie

Guitton

2011

PLoS ONE

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Despite tremendous advances in artificial language synthesis, no machine has so far succeeded in deceiving a human. Most research focused on analyzing the behavior of “good” machine. We here choose an opposite strategy, by analyzing the behavior of “bad” humans, i.e., humans perceived as machine. The Loebner Prize in Artificial Intelligence features humans and artificial agents trying to convince judges on their humanness via computer-mediated communication. Using this setting as a model, we investigated here whether the linguistic behavior of human subjects perceived as non-human would enable us to identify some of the core parameters involved in the judgment of an agents' humanness. We analyzed descriptive and semantic aspects of dialogues in which subjects succeeded or failed to convince judges of their humanness. Using cognitive and emotional dimensions in a global behavioral characterization, we demonstrate important differences in the patterns of behavioral expressiveness of the judges whether they perceived their interlocutor as being human or machine. Furthermore, the indicators of interest displayed by the judges were predictive of the final judgment of humanness. Thus, we show that the judgment of an interlocutor's humanness during a social interaction depends not only on his behavior, but also on the judge himself. Our results thus demonstrate that the judgment of humanness is in the eye of the beholder.

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Section: Discussionmentioning

confidence: 99%

Judgment of the Humanness of an Interlocutor Is in the Eye of the Beholder

Lortie

Guitton

2011

PLoS ONE

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“…B. [12,[29][30][31][32]). Die Verfahren hatten gegen zwei Probleme anzukämpfen: um zu ermitteln, welchermeist als Graph dargestellte -Plan in der aktuellen Situation anwendbar sei, sind Algorithmen zum Graph-Matching erforderlich, die durch hohe Komplexität und wenig Effizienz gekennzeichnet sind.…”

Section: Kollaboration Und Interaktion Als Eigenständige Domänenunclassified

Task-Analysen in der Mensch-Maschine-Interaktion

Ludwig

2015

Xpert.press

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“…Otros enfoques incorporan la teoría de actos de habla en la descripción de sistemas computacionales que producen planes (Ardissono, Boella & Lesmo, 2000) que contienen secuencias de habla (Cohen & Levesque,990). Cuando el procesamiento del discurso involucra la gestión de interacciones dialógicas entre el usuario y el sistema, los sistemas de GLN pueden captar conocimientos subyacentes, como, por ejemplo, los turnos conversacionales, para así proporcionar respuestas acordes con los conocimientos y objetivos del usuario, reaccionar ante errores o enfrentar una reacción inesperada del usuario (Jurafsky & Martin, 2000).…”

Section: Las Tareas De La Gln Incluyenunclassified

Disminución de la sobrecarga de información en la World Wide Web a partir de interacciones dialógicas hombre-computador

Cabrera

Atkinson

2009

Rev. signos

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A plan-based agent architecture for interpreting natural language dialogue

Cited by 13 publications

References 35 publications

Judgment of the Humanness of an Interlocutor Is in the Eye of the Beholder

Judgment of the Humanness of an Interlocutor Is in the Eye of the Beholder

Task-Analysen in der Mensch-Maschine-Interaktion

Disminución de la sobrecarga de información en la World Wide Web a partir de interacciones dialógicas hombre-computador

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