Strategical Argumentative Agent for Human Persuasion: A Preliminary Report

Ariel Rosenfeld; S. Kraus

Strategical Argumentative Agent for Human Persuasion: A Preliminary Report

Department of Computer Science and Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Automated agents should be able to persuade people in the same way people persuade each other, namely via dialog. Today, automated persuasion modeling and investigation use unnatural assumptions in persuasive interactions which create doubt regarding their applicability in real world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialog. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques, which together form an innovative agent named SPA. Preliminary field experiments indicate that SPA provides higher levels of attitude change among subjects compared to two baseline agents.

Original language	English
Title of host publication	Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing
State	Published - 2016

Cite this

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title = "Strategical Argumentative Agent for Human Persuasion: A Preliminary Report",

abstract = "Automated agents should be able to persuade people in the same way people persuade each other, namely via dialog. Today, automated persuasion modeling and investigation use unnatural assumptions in persuasive interactions which create doubt regarding their applicability in real world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialog. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques, which together form an innovative agent named SPA. Preliminary field experiments indicate that SPA provides higher levels of attitude change among subjects compared to two baseline agents.",

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AU - Rosenfeld, Ariel

AU - Kraus, S.

N1 - Place of conference:Germany

PY - 2016

Y1 - 2016

N2 - Automated agents should be able to persuade people in the same way people persuade each other, namely via dialog. Today, automated persuasion modeling and investigation use unnatural assumptions in persuasive interactions which create doubt regarding their applicability in real world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialog. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques, which together form an innovative agent named SPA. Preliminary field experiments indicate that SPA provides higher levels of attitude change among subjects compared to two baseline agents.

AB - Automated agents should be able to persuade people in the same way people persuade each other, namely via dialog. Today, automated persuasion modeling and investigation use unnatural assumptions in persuasive interactions which create doubt regarding their applicability in real world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialog. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques, which together form an innovative agent named SPA. Preliminary field experiments indicate that SPA provides higher levels of attitude change among subjects compared to two baseline agents.

UR - https://scholar.google.co.il/scholar?q=Strategical+Argumentative+Agent+for+Human+Persuasion%3A+A+Preliminary+Report&btnG=&hl=en&as_sdt=0%2C5https://scholar.google.co.il/scholar?q=Strategical+Argumentative+Agent+for+Human+Persuasion%3A+A+Preliminary+Report

M3 - Conference contribution

BT - Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing

ER -

Strategical Argumentative Agent for Human Persuasion: A Preliminary Report

Abstract

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