In the published article, there was an error regarding the affiliations for Lola Cañamero. As well as having affiliation 2 “EECAiA Lab, School of Computer Science, University of Hertfordshire, Hatfield, United Kingdom”, they should also have 4 “Neurocybernetics Team, ETIS Lab, CY Cergy Paris Université, ENSEA, CNRS UMR8051, Cergy-Pontoise, France”.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
human-robot interaction, social adaptability, affective interaction, personalized HRI, emotion recognition
Citation
Tanevska A, Rea F, Sandini G, Cañamero L and Sciutti A (2021) Corrigendum: A Socially Adaptable Framework for Human-Robot Interaction. Front. Robot. AI 8:812583. doi: 10.3389/frobt.2021.812583
Received
10 November 2021
Accepted
25 November 2021
Published
14 December 2021
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
8 - 2021
Updates
Copyright
© 2021 Tanevska, Rea, Sandini, Cañamero and Sciutti.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ana Tanevska, ana.tanevska@iit.it
This article was submitted to Human-Robot Interaction, a section of the journal Frontiers in Robotics and AI
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.