MAP: A computational model for adaptive persuasion

While a variety of persuasion agents have been created and applied in different domains such as marketing, military training and health industry, there is a lack of a model which provides a unified framework for different persuasion strategies. Specifically, persuasion is not adaptable to the indivi...

Full description

Saved in:
Bibliographic Details
Main Authors: KANG, Yilin, TAN, Ah-hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/5469
https://ink.library.smu.edu.sg/context/sis_research/article/6472/viewcontent/finalsubmittion.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-6472
record_format dspace
spelling sg-smu-ink.sis_research-64722020-12-24T03:00:54Z MAP: A computational model for adaptive persuasion KANG, Yilin TAN, Ah-hwee While a variety of persuasion agents have been created and applied in different domains such as marketing, military training and health industry, there is a lack of a model which provides a unified framework for different persuasion strategies. Specifically, persuasion is not adaptable to the individuals’ personal states in different situations. Grounded in the Elaboration Likelihood Model (ELM), this paper presents a computational model called Model for Adaptive Persuasion (MAP) for virtual agents. MAP is a semi-connected network model which enables an agent to adapt its persuasion strategies through feedback. We have implemented and evaluated a MAP-based virtual nurse agent who takes care and recommends healthy lifestyle habits to the elderly. Our user study show that MAP-based agents are able to change others’ attitudes and behaviors intentionally, interpret individual differences between users, and adapt to user’s behavior for effective persuasion. 2015-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5469 info:doi/10.5555/2772879.2773479 https://ink.library.smu.edu.sg/context/sis_research/article/6472/viewcontent/finalsubmittion.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Agent Adaptive Persuasion Social behavior Databases and Information Systems Theory and Algorithms
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Agent
Adaptive
Persuasion
Social behavior
Databases and Information Systems
Theory and Algorithms
spellingShingle Agent
Adaptive
Persuasion
Social behavior
Databases and Information Systems
Theory and Algorithms
KANG, Yilin
TAN, Ah-hwee
MAP: A computational model for adaptive persuasion
description While a variety of persuasion agents have been created and applied in different domains such as marketing, military training and health industry, there is a lack of a model which provides a unified framework for different persuasion strategies. Specifically, persuasion is not adaptable to the individuals’ personal states in different situations. Grounded in the Elaboration Likelihood Model (ELM), this paper presents a computational model called Model for Adaptive Persuasion (MAP) for virtual agents. MAP is a semi-connected network model which enables an agent to adapt its persuasion strategies through feedback. We have implemented and evaluated a MAP-based virtual nurse agent who takes care and recommends healthy lifestyle habits to the elderly. Our user study show that MAP-based agents are able to change others’ attitudes and behaviors intentionally, interpret individual differences between users, and adapt to user’s behavior for effective persuasion.
format text
author KANG, Yilin
TAN, Ah-hwee
author_facet KANG, Yilin
TAN, Ah-hwee
author_sort KANG, Yilin
title MAP: A computational model for adaptive persuasion
title_short MAP: A computational model for adaptive persuasion
title_full MAP: A computational model for adaptive persuasion
title_fullStr MAP: A computational model for adaptive persuasion
title_full_unstemmed MAP: A computational model for adaptive persuasion
title_sort map: a computational model for adaptive persuasion
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/sis_research/5469
https://ink.library.smu.edu.sg/context/sis_research/article/6472/viewcontent/finalsubmittion.pdf
_version_ 1770575469521928192