The Design and Evaluation of Intelligent Sales-agent for Online Persuasion and Negotiation
Purchasing products from online e-stores is getting popular with the advance of Internet infrastructure and network security. At current stage, most e-stores resemble vending machines rather than real stores because they lack clerks to persuade prospects into buying products and to bargain with the customers for making a good deal. This research aims to design an easy-to-use and autonomous sales-agent, called Isa, to act as a virtual clerk in an e-store. A new approach is proposed to enable the agent to dynamically adopt different persuasion and negotiation strategies according to different characteristics of human buyers. Additionally, this approach enables a sales-agent to learn the best strategies without seller¡¦s instructions. Both laboratory and field experiments are conducted to assess Isa¡¦s performance. The experimental results reveal that Isa can improve a seller¡¦s surplus and increase a buyer¡¦s product evaluation, willingness to pay more money for the product, and satisfaction with visiting the s-store.
Advisor:Houn-Gee Chen; Fu-ren Lin; Chih-Ping Wei; Ting-Peng Liang; James T. Lin
School:National Sun Yat-Sen University
School Location:China - Taiwan
Source Type:Master's Thesis
Keywords:sales agent abstract argumentation framework defeasible reasoning elaboration likelihood model reinforcement learning negotiation persuasion
Date of Publication:07/23/2005