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MAP: A Computational Model for Adaptive Persuasion


Authors: Y. Kang and A.-H. Tan
Title: MAP: A Computational Model for Adaptive Persuasion
Abstract: 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.
Keywords: Agent; Adaptive; Persuasion; Social behavior
Conference Name: 14th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’15)
Location: Istanbul, Turkey
Publisher: IFAAMAS
Year: 2015
Accepted PDF File: MAP_A_Computational_Model_for_Adaptive_Persuasion_accepted.pdf
Permanent Link: http://www.aamas2015.com/en/AAMAS_2015_USB/aamas/p1871.pdf
Reference: Y. Kang and A.-H. Tan, “MAP: A computational model for adaptive persuasion,” in Proceedings of the 14th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’15). IFAAMAS, May 2015, pp. 1871–1872.
bibtex: 
@inproceedings{LILY-c37, 
   author	= {Kang, Yilin and Tan, Ah-Hwee},
   title	= {{MAP}: A Computational Model for Adaptive Persuasion},  
   booktitle	= {Proceedings of the 14th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'15)}, 
   year		= {2015}, 
   month	= {May}, 
   pages	= {1871-1872}, 
   location	= {Istanbul, Turkey},
   publisher	= {IFAAMAS},
}