Towards enhancing human-robot relationship: Customized robot's behavior to human's profile

Amir Aly, Adriana Tapus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A social robot should be able to understand human's profile (i.e.. human's emotions and personality), so as to make the robot able to behave appropriately to the mult imodal interaction context. This research addresses the online recognition of emotions based on a new fuzzy- based methodology. It also focuses on investigating how could a match between the human's and the robot's personalities influence interaction. Furthermore, it studi es the automatic generation of head-arm metaphoric gestures under different emotional states based on the prosodic cues of the interacting human. The conducted experiments have been validated with NAO robot from Aldebaran Robotics and ALJCE robot from Hanson Robotics.

Original languageEnglish
Title of host publicationArtificial Intelligence for Human-Robot Interaction - Papers from the AAAI Fall Symposium, Technical Report
PublisherAI Access Foundation
Pages16-18
Number of pages3
ISBN (Electronic)9781577356912
Publication statusPublished - 2014
Event2014 AAAI Fall Symposium - Arlington, United States
Duration: 13 Nov 201415 Nov 2014

Publication series

NameAAAI Fall Symposium - Technical Report
VolumeFS-14-01

Conference

Conference2014 AAAI Fall Symposium
Country/TerritoryUnited States
CityArlington
Period13/11/1415/11/14

ASJC Scopus subject areas

  • General Engineering

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