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I, robot: depression plays different roles in human–human and human–robot interactions
Socially engaging robots have been increasingly applied to alleviate depressive symptoms and to improve the quality of social life among different populations. Seeing that depression negatively influences social reward processing in everyday interaction, we investigate this influence during simulate...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380250/ https://www.ncbi.nlm.nih.gov/pubmed/34420040 http://dx.doi.org/10.1038/s41398-021-01567-5 |
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author | Zhang, Dandan Shen, Junshi Li, Sijin Gao, Kexiang Gu, Ruolei |
author_facet | Zhang, Dandan Shen, Junshi Li, Sijin Gao, Kexiang Gu, Ruolei |
author_sort | Zhang, Dandan |
collection | PubMed |
description | Socially engaging robots have been increasingly applied to alleviate depressive symptoms and to improve the quality of social life among different populations. Seeing that depression negatively influences social reward processing in everyday interaction, we investigate this influence during simulated interactions with humans or robots. In this study, 35 participants with mild depression and 35 controls (all from nonclinical populations) finished the social incentive delay task with event-related potential recording, in which they received performance feedback from other persons or from a robot. Compared to the controls, the mild depressive symptom (MDS) group represented abnormalities of social reward processing in the human feedback condition: first, the MDS group showed a lower hit rate and a smaller contingent-negative variation (correlated with each other) during reward anticipation; second, depression level modulated both the early phase (indexed by the feedback-related negativity (FRN)) and the late phase (indexed by the P3) of reward consumption. In contrast, the effect of depression was evident only on FRN amplitude in the robot feedback condition. We suggest that compared to human–human interaction, the rewarding properties of human–robot interaction are less likely to be affected by depression. These findings have implications for the utilization of robot-assisted intervention in clinical practice. |
format | Online Article Text |
id | pubmed-8380250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83802502021-09-08 I, robot: depression plays different roles in human–human and human–robot interactions Zhang, Dandan Shen, Junshi Li, Sijin Gao, Kexiang Gu, Ruolei Transl Psychiatry Article Socially engaging robots have been increasingly applied to alleviate depressive symptoms and to improve the quality of social life among different populations. Seeing that depression negatively influences social reward processing in everyday interaction, we investigate this influence during simulated interactions with humans or robots. In this study, 35 participants with mild depression and 35 controls (all from nonclinical populations) finished the social incentive delay task with event-related potential recording, in which they received performance feedback from other persons or from a robot. Compared to the controls, the mild depressive symptom (MDS) group represented abnormalities of social reward processing in the human feedback condition: first, the MDS group showed a lower hit rate and a smaller contingent-negative variation (correlated with each other) during reward anticipation; second, depression level modulated both the early phase (indexed by the feedback-related negativity (FRN)) and the late phase (indexed by the P3) of reward consumption. In contrast, the effect of depression was evident only on FRN amplitude in the robot feedback condition. We suggest that compared to human–human interaction, the rewarding properties of human–robot interaction are less likely to be affected by depression. These findings have implications for the utilization of robot-assisted intervention in clinical practice. Nature Publishing Group UK 2021-08-21 /pmc/articles/PMC8380250/ /pubmed/34420040 http://dx.doi.org/10.1038/s41398-021-01567-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Dandan Shen, Junshi Li, Sijin Gao, Kexiang Gu, Ruolei I, robot: depression plays different roles in human–human and human–robot interactions |
title | I, robot: depression plays different roles in human–human and human–robot interactions |
title_full | I, robot: depression plays different roles in human–human and human–robot interactions |
title_fullStr | I, robot: depression plays different roles in human–human and human–robot interactions |
title_full_unstemmed | I, robot: depression plays different roles in human–human and human–robot interactions |
title_short | I, robot: depression plays different roles in human–human and human–robot interactions |
title_sort | i, robot: depression plays different roles in human–human and human–robot interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380250/ https://www.ncbi.nlm.nih.gov/pubmed/34420040 http://dx.doi.org/10.1038/s41398-021-01567-5 |
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