Detecting Deception in a Human-Robot Interaction Scenario

被引：1

作者：

Agrigoroaie, Roxana ^{[1
]}

Tapus, Adriana ^{[1
]}

机构：

[1] ENSTA ParisTech, Autonomous Syst & Robot Lab, U2IS, Palaiseau, France

来源：

COMPANION OF THE 2017 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'17) | 2017年

关键词：

Human-robot interaction; learning; adaptation; deception;

D O I：

10.1145/3029798.3038376

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Our work aims at developing a behavioral model enabling customized and natural interaction between a robot and an elderly individual in the context of the EU H2020 ENRICHME Project - Grant Agreement 643691. The main idea of the project is to make the robot able to learn from past experiences and to adapt its behavior to the profile (i.e., personality, cognitive disability level, emotional internal states) and preferences of the person it interacts with. In this paper the robot will try to determine if the person it interacts with is trying to deceive it or not. Some first preliminary experiments and results are presented.

引用

页码：59 / 60

页数：2