Effect of Emotional Feedback in a Decision-Making System for an Autonomous Agent

被引：0

作者：

Razuri, Javier Guerrero ^{[1
]}

Sundgren, David ^{[1
]}

Rahmani, Rahim ^{[1
]}

Larsson, Aron ^{[1
]}

机构：

[1] Stockholm Univ, Dept Comp & Syst Sci, S-10691 Stockholm, Sweden

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE (IBERAMIA 2014) | 2014年 / 8864卷

关键词：

Affective computing; Artificial neural network; Facial expression recognition; Detection of emotional information; Adversarial risk analysis; Broaden and Build theory; MODEL; FEAR;

D O I：

10.1007/978-3-319-12027-0_49

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The main purpose of this research is the implementation of a decision model affected by emotional feedback in a cognitive robotic assistant that can capture information about the world around it. The robot will use multi-modal communication to assist the societal participation of persons deprived of conventional modes of communication. The aim is a machine that can predict what the user will do next and be ready to give the best possible assistance, taking in account the emotional factor. The results indicate the benefits and importance of emotional feedback in the closed loop human-robot interaction framework. Cognitive agents are shown to be capable of adapting to emotional information from humans.

引用

页码：613 / 624

页数：12

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