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Can a Humanoid Face be Expressive? A Psychophysiological Investigation

Non-verbal signals expressed through body language play a crucial role in multi-modal human communication during social relations. Indeed, in all cultures, facial expressions are the most universal and direct signs to express innate emotional cues. A human face conveys important information in socia...

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Autores principales: Lazzeri, Nicole, Mazzei, Daniele, Greco, Alberto, Rotesi, Annalisa, Lanatà, Antonio, De Rossi, Danilo Emilio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443734/
https://www.ncbi.nlm.nih.gov/pubmed/26075199
http://dx.doi.org/10.3389/fbioe.2015.00064
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author Lazzeri, Nicole
Mazzei, Daniele
Greco, Alberto
Rotesi, Annalisa
Lanatà, Antonio
De Rossi, Danilo Emilio
author_facet Lazzeri, Nicole
Mazzei, Daniele
Greco, Alberto
Rotesi, Annalisa
Lanatà, Antonio
De Rossi, Danilo Emilio
author_sort Lazzeri, Nicole
collection PubMed
description Non-verbal signals expressed through body language play a crucial role in multi-modal human communication during social relations. Indeed, in all cultures, facial expressions are the most universal and direct signs to express innate emotional cues. A human face conveys important information in social interactions and helps us to better understand our social partners and establish empathic links. Latest researches show that humanoid and social robots are becoming increasingly similar to humans, both esthetically and expressively. However, their visual expressiveness is a crucial issue that must be improved to make these robots more realistic and intuitively perceivable by humans as not different from them. This study concerns the capability of a humanoid robot to exhibit emotions through facial expressions. More specifically, emotional signs performed by a humanoid robot have been compared with corresponding human facial expressions in terms of recognition rate and response time. The set of stimuli included standardized human expressions taken from an Ekman-based database and the same facial expressions performed by the robot. Furthermore, participants’ psychophysiological responses have been explored to investigate whether there could be differences induced by interpreting robot or human emotional stimuli. Preliminary results show a trend to better recognize expressions performed by the robot than 2D photos or 3D models. Moreover, no significant differences in the subjects’ psychophysiological state have been found during the discrimination of facial expressions performed by the robot in comparison with the same task performed with 2D photos and 3D models.
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spelling pubmed-44437342015-06-12 Can a Humanoid Face be Expressive? A Psychophysiological Investigation Lazzeri, Nicole Mazzei, Daniele Greco, Alberto Rotesi, Annalisa Lanatà, Antonio De Rossi, Danilo Emilio Front Bioeng Biotechnol Bioengineering and Biotechnology Non-verbal signals expressed through body language play a crucial role in multi-modal human communication during social relations. Indeed, in all cultures, facial expressions are the most universal and direct signs to express innate emotional cues. A human face conveys important information in social interactions and helps us to better understand our social partners and establish empathic links. Latest researches show that humanoid and social robots are becoming increasingly similar to humans, both esthetically and expressively. However, their visual expressiveness is a crucial issue that must be improved to make these robots more realistic and intuitively perceivable by humans as not different from them. This study concerns the capability of a humanoid robot to exhibit emotions through facial expressions. More specifically, emotional signs performed by a humanoid robot have been compared with corresponding human facial expressions in terms of recognition rate and response time. The set of stimuli included standardized human expressions taken from an Ekman-based database and the same facial expressions performed by the robot. Furthermore, participants’ psychophysiological responses have been explored to investigate whether there could be differences induced by interpreting robot or human emotional stimuli. Preliminary results show a trend to better recognize expressions performed by the robot than 2D photos or 3D models. Moreover, no significant differences in the subjects’ psychophysiological state have been found during the discrimination of facial expressions performed by the robot in comparison with the same task performed with 2D photos and 3D models. Frontiers Media S.A. 2015-05-26 /pmc/articles/PMC4443734/ /pubmed/26075199 http://dx.doi.org/10.3389/fbioe.2015.00064 Text en Copyright © 2015 Lazzeri, Mazzei, Greco, Rotesi, Lanatà and De Rossi. http://creativecommons.org/licenses/by/4.0/ 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) or licensor 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.
spellingShingle Bioengineering and Biotechnology
Lazzeri, Nicole
Mazzei, Daniele
Greco, Alberto
Rotesi, Annalisa
Lanatà, Antonio
De Rossi, Danilo Emilio
Can a Humanoid Face be Expressive? A Psychophysiological Investigation
title Can a Humanoid Face be Expressive? A Psychophysiological Investigation
title_full Can a Humanoid Face be Expressive? A Psychophysiological Investigation
title_fullStr Can a Humanoid Face be Expressive? A Psychophysiological Investigation
title_full_unstemmed Can a Humanoid Face be Expressive? A Psychophysiological Investigation
title_short Can a Humanoid Face be Expressive? A Psychophysiological Investigation
title_sort can a humanoid face be expressive? a psychophysiological investigation
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443734/
https://www.ncbi.nlm.nih.gov/pubmed/26075199
http://dx.doi.org/10.3389/fbioe.2015.00064
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