@inproceedings{2b27666258814b78b3e1f0ffe28c529d,
title = "Detecting deception in a human-robot interaction scenario",
abstract = "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.",
keywords = "adaptation, deception, human-robot interaction, learning",
author = "Roxana Agrigoroaie and Adriana Tapus",
note = "Publisher Copyright: {\textcopyright} 2017 Authors.; 12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 ; Conference date: 06-03-2017 Through 09-03-2017",
year = "2017",
month = mar,
day = "6",
doi = "10.1145/3029798.3038376",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "IEEE Computer Society",
pages = "59--60",
booktitle = "HRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction",
}