Strategical argumentative agent for human persuasion

Ariel Rosenfeld; Sarit Kraus

doi:10.3233/978-1-61499-672-9-320

Strategical argumentative agent for human persuasion

Ariel Rosenfeld, Sarit Kraus

Department of Computer Science

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

68 Scopus citations

Abstract

Automated agents should be able to persuade people in the same way people persuade each other - via dialogs. Today, automated persuasion modeling and research use unnatural assumptions regarding persuasive interaction, which creates doubt regarding their applicability for real-world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialogs. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques that together result in an innovative agent named SPA. Two extensive field experiments, with more than 100 human subjects, show that SPA is able to persuade people significantly more often than a baseline agent and no worse than people are able to persuade each other.

Original language	English
Title of host publication	Frontiers in Artificial Intelligence and Applications
Editors	Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hullermeier, Virginia Dignum, Frank Dignum, Frank van Harmelen
Publisher	IOS Press BV
Pages	320-328
Number of pages	9
ISBN (Electronic)	9781614996712
DOIs	https://doi.org/10.3233/978-1-61499-672-9-320
State	Published - 2016
Event	22nd European Conference on Artificial Intelligence, ECAI 2016 - The Hague, Netherlands Duration: 29 Aug 2016 → 2 Sep 2016

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	285
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	22nd European Conference on Artificial Intelligence, ECAI 2016
Country/Territory	Netherlands
City	The Hague
Period	29/08/16 → 2/09/16

Bibliographical note

Publisher Copyright:
© 2016 The Authors and IOS Press.

Funding

We would like to thank Intel Collaboration Research Institute for Computational Intelligence, the ERC (grant # 267523), and Israel Science Foundation (grant # 1488/14) for their support in this research.

Funders	Funder number
European Commission	267523
Israel Science Foundation	1488/14
Intel Collaboration Research Institute for Computational Intelligence

Access to Document

10.3233/978-1-61499-672-9-320

Cite this

Rosenfeld, A., & Kraus, S. (2016). Strategical argumentative agent for human persuasion. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hullermeier, V. Dignum, F. Dignum, & F. van Harmelen (Eds.), Frontiers in Artificial Intelligence and Applications (pp. 320-328). (Frontiers in Artificial Intelligence and Applications; Vol. 285). IOS Press BV. https://doi.org/10.3233/978-1-61499-672-9-320

@inproceedings{177d698fa51b457c858b296193b5f7a4,

title = "Strategical argumentative agent for human persuasion",

abstract = "Automated agents should be able to persuade people in the same way people persuade each other - via dialogs. Today, automated persuasion modeling and research use unnatural assumptions regarding persuasive interaction, which creates doubt regarding their applicability for real-world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialogs. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques that together result in an innovative agent named SPA. Two extensive field experiments, with more than 100 human subjects, show that SPA is able to persuade people significantly more often than a baseline agent and no worse than people are able to persuade each other.",

author = "Ariel Rosenfeld and Sarit Kraus",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors and IOS Press.; 22nd European Conference on Artificial Intelligence, ECAI 2016 ; Conference date: 29-08-2016 Through 02-09-2016",

year = "2016",

doi = "10.3233/978-1-61499-672-9-320",

language = "אנגלית",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press BV",

pages = "320--328",

editor = "Kaminka, {Gal A.} and Maria Fox and Paolo Bouquet and Eyke Hullermeier and Virginia Dignum and Frank Dignum and {van Harmelen}, Frank",

booktitle = "Frontiers in Artificial Intelligence and Applications",

address = "הולנד",

}

Rosenfeld, A & Kraus, S 2016, Strategical argumentative agent for human persuasion. in GA Kaminka, M Fox, P Bouquet, E Hullermeier, V Dignum, F Dignum & F van Harmelen (eds), Frontiers in Artificial Intelligence and Applications. Frontiers in Artificial Intelligence and Applications, vol. 285, IOS Press BV, pp. 320-328, 22nd European Conference on Artificial Intelligence, ECAI 2016, The Hague, Netherlands, 29/08/16. https://doi.org/10.3233/978-1-61499-672-9-320

Strategical argumentative agent for human persuasion. / Rosenfeld, Ariel ; Kraus, Sarit.
Frontiers in Artificial Intelligence and Applications. ed. / Gal A. Kaminka; Maria Fox; Paolo Bouquet; Eyke Hullermeier; Virginia Dignum; Frank Dignum; Frank van Harmelen. IOS Press BV, 2016. p. 320-328 (Frontiers in Artificial Intelligence and Applications; Vol. 285).

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

TY - GEN

T1 - Strategical argumentative agent for human persuasion

AU - Rosenfeld, Ariel

AU - Kraus, Sarit

PY - 2016

Y1 - 2016

N2 - Automated agents should be able to persuade people in the same way people persuade each other - via dialogs. Today, automated persuasion modeling and research use unnatural assumptions regarding persuasive interaction, which creates doubt regarding their applicability for real-world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialogs. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques that together result in an innovative agent named SPA. Two extensive field experiments, with more than 100 human subjects, show that SPA is able to persuade people significantly more often than a baseline agent and no worse than people are able to persuade each other.

AB - Automated agents should be able to persuade people in the same way people persuade each other - via dialogs. Today, automated persuasion modeling and research use unnatural assumptions regarding persuasive interaction, which creates doubt regarding their applicability for real-world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialogs. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques that together result in an innovative agent named SPA. Two extensive field experiments, with more than 100 human subjects, show that SPA is able to persuade people significantly more often than a baseline agent and no worse than people are able to persuade each other.

UR - http://www.scopus.com/inward/record.url?scp=85013076674&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-672-9-320

DO - 10.3233/978-1-61499-672-9-320

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85013076674

T3 - Frontiers in Artificial Intelligence and Applications

SP - 320

EP - 328

BT - Frontiers in Artificial Intelligence and Applications

A2 - Kaminka, Gal A.

A2 - Fox, Maria

A2 - Bouquet, Paolo

A2 - Hullermeier, Eyke

A2 - Dignum, Virginia

A2 - Dignum, Frank

A2 - van Harmelen, Frank

PB - IOS Press BV

T2 - 22nd European Conference on Artificial Intelligence, ECAI 2016

Y2 - 29 August 2016 through 2 September 2016

ER -

Strategical argumentative agent for human persuasion

Abstract

Publication series

Conference

Bibliographical note

Funding

Access to Document

Other files and links

Fingerprint

Cite this