TY - GEN
T1 - Strategical Argumentative Agent for Human Persuasion: A Preliminary Report
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 -