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User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis
BACKGROUND: Previous research suggests that artificial agents may be a promising source of social support for humans. However, the bulk of this research has been conducted in the context of social support interventions that specifically address stressful situations or health improvements. Little res...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084290/ https://www.ncbi.nlm.nih.gov/pubmed/32141837 http://dx.doi.org/10.2196/16235 |
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author | Ta, Vivian Griffith, Caroline Boatfield, Carolynn Wang, Xinyu Civitello, Maria Bader, Haley DeCero, Esther Loggarakis, Alexia |
author_facet | Ta, Vivian Griffith, Caroline Boatfield, Carolynn Wang, Xinyu Civitello, Maria Bader, Haley DeCero, Esther Loggarakis, Alexia |
author_sort | Ta, Vivian |
collection | PubMed |
description | BACKGROUND: Previous research suggests that artificial agents may be a promising source of social support for humans. However, the bulk of this research has been conducted in the context of social support interventions that specifically address stressful situations or health improvements. Little research has examined social support received from artificial agents in everyday contexts. OBJECTIVE: Considering that social support manifests in not only crises but also everyday situations and that everyday social support forms the basis of support received during more stressful events, we aimed to investigate the types of everyday social support that can be received from artificial agents. METHODS: In Study 1, we examined publicly available user reviews (N=1854) of Replika, a popular companion chatbot. In Study 2, a sample (n=66) of Replika users provided detailed open-ended responses regarding their experiences of using Replika. We conducted thematic analysis on both datasets to gain insight into the kind of everyday social support that users receive through interactions with Replika. RESULTS: Replika provides some level of companionship that can help curtail loneliness, provide a “safe space” in which users can discuss any topic without the fear of judgment or retaliation, increase positive affect through uplifting and nurturing messages, and provide helpful information/advice when normal sources of informational support are not available. CONCLUSIONS: Artificial agents may be a promising source of everyday social support, particularly companionship, emotional, informational, and appraisal support, but not as tangible support. Future studies are needed to determine who might benefit from these types of everyday social support the most and why. These results could potentially be used to help address global health issues or other crises early on in everyday situations before they potentially manifest into larger issues. |
format | Online Article Text |
id | pubmed-7084290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-70842902020-03-25 User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis Ta, Vivian Griffith, Caroline Boatfield, Carolynn Wang, Xinyu Civitello, Maria Bader, Haley DeCero, Esther Loggarakis, Alexia J Med Internet Res Original Paper BACKGROUND: Previous research suggests that artificial agents may be a promising source of social support for humans. However, the bulk of this research has been conducted in the context of social support interventions that specifically address stressful situations or health improvements. Little research has examined social support received from artificial agents in everyday contexts. OBJECTIVE: Considering that social support manifests in not only crises but also everyday situations and that everyday social support forms the basis of support received during more stressful events, we aimed to investigate the types of everyday social support that can be received from artificial agents. METHODS: In Study 1, we examined publicly available user reviews (N=1854) of Replika, a popular companion chatbot. In Study 2, a sample (n=66) of Replika users provided detailed open-ended responses regarding their experiences of using Replika. We conducted thematic analysis on both datasets to gain insight into the kind of everyday social support that users receive through interactions with Replika. RESULTS: Replika provides some level of companionship that can help curtail loneliness, provide a “safe space” in which users can discuss any topic without the fear of judgment or retaliation, increase positive affect through uplifting and nurturing messages, and provide helpful information/advice when normal sources of informational support are not available. CONCLUSIONS: Artificial agents may be a promising source of everyday social support, particularly companionship, emotional, informational, and appraisal support, but not as tangible support. Future studies are needed to determine who might benefit from these types of everyday social support the most and why. These results could potentially be used to help address global health issues or other crises early on in everyday situations before they potentially manifest into larger issues. JMIR Publications 2020-03-06 /pmc/articles/PMC7084290/ /pubmed/32141837 http://dx.doi.org/10.2196/16235 Text en ©Vivian Ta, Caroline Griffith, Carolynn Boatfield, Xinyu Wang, Maria Civitello, Haley Bader, Esther DeCero, Alexia Loggarakis. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.03.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Ta, Vivian Griffith, Caroline Boatfield, Carolynn Wang, Xinyu Civitello, Maria Bader, Haley DeCero, Esther Loggarakis, Alexia User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis |
title | User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis |
title_full | User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis |
title_fullStr | User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis |
title_full_unstemmed | User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis |
title_short | User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis |
title_sort | user experiences of social support from companion chatbots in everyday contexts: thematic analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084290/ https://www.ncbi.nlm.nih.gov/pubmed/32141837 http://dx.doi.org/10.2196/16235 |
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