Nego-Bot: A Human-Robot Negotiation System

被引：0

作者：

Rincon, J. A. ^{[1
]}

Costa, A. ^{[2
]}

Julian, V ^{[1
]}

Carrascosa, C. ^{[1
]}

Novais, P. ^{[3
]}

机构：

[1] Univ Politecn Valencia, Inst Valencia Invest Intelligencia Artificial VRA, Valencia, Spain

[2] Univ Alicante, MVRLab, Alicante, Spain

[3] Univ Minho, ALGORITMI Ctr, Braga, Portugal

来源：

ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND SOCIAL GOOD: THE PAAMS COLLECTION, PAAMS 2021 | 2021年 / 12946卷

关键词：

EDGE AI; Assistant robot; Emotion detection; Automated negotiation;

D O I：

10.1007/978-3-030-85739-4_36

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present a platform composed of a low-cost robot and a multi-agent system that uses deep learning algorithms, whose objective is to establish a negotiation process and persuasively sell items, maximising their price, thus gain. To do this, we have focused on developing an interactive process that is able to interact with humans using a camera, microphone and speaker, to establish all negotiation process without physical contact. This is relevant due to the current COVID-19 situation and arisen issues of human contact. Validation processes with university students have revealed high interest and success in products' negotiation.

引用

页码：376 / 379

页数：4