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Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment
BACKGROUND: Voice assistants (VAs) are devices that respond to human voices and can be commanded to do a variety of tasks. Nowadays, VAs are being used to obtain health information, which has become a critical point of analysis for researchers in terms of question understanding and quality of respon...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942094/ https://www.ncbi.nlm.nih.gov/pubmed/35041617 http://dx.doi.org/10.2196/34674 |
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author | Seródio Figueiredo, Carlos Maurício de Melo, Tiago Goes, Raphaela |
author_facet | Seródio Figueiredo, Carlos Maurício de Melo, Tiago Goes, Raphaela |
author_sort | Seródio Figueiredo, Carlos Maurício |
collection | PubMed |
description | BACKGROUND: Voice assistants (VAs) are devices that respond to human voices and can be commanded to do a variety of tasks. Nowadays, VAs are being used to obtain health information, which has become a critical point of analysis for researchers in terms of question understanding and quality of response. Particularly, the COVID-19 pandemic has and still is severely affecting people worldwide, which demands studies on how VAs can be used as a tool to provide useful information. OBJECTIVE: This work aimed to perform a quality analysis of different VAs’ responses regarding the actual and important subject of COVID-19 vaccines. We focused on this important subject since vaccines are now available and society has urged for the population to be rapidly immunized. METHODS: The proposed study was based on questions that were collected from the official World Health Organization website. These questions were submitted to the 5 dominant VAs (Alexa, Bixby, Cortana, Google Assistant, and Siri), and responses were evaluated according to a rubric based on the literature. We focused this study on the Portuguese language as an additional contribution, since previous works are mainly focused on the English language, and we believe that VAs cannot be optimized to foreign languages. RESULTS: Results showed that Google Assistant has a better overall performance, and only this VA and Samsung Bixby achieved high scores on question understanding in the Portuguese language. Regarding the obtained answers, the study also showed the best Google Assistant overall performance. CONCLUSIONS: Under the urgent context of COVID-19 vaccination, this work can help to understand how VAs must be improved to be more useful to the society and how careful people must be when considering VAs as a source of health information. VAs have been demonstrated to perform well regarding comprehension and user-friendliness. However, this work has found that they must be better integrated to their information sources to be useful as health information tools. |
format | Online Article Text |
id | pubmed-8942094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-89420942022-03-24 Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment Seródio Figueiredo, Carlos Maurício de Melo, Tiago Goes, Raphaela JMIR Hum Factors Original Paper BACKGROUND: Voice assistants (VAs) are devices that respond to human voices and can be commanded to do a variety of tasks. Nowadays, VAs are being used to obtain health information, which has become a critical point of analysis for researchers in terms of question understanding and quality of response. Particularly, the COVID-19 pandemic has and still is severely affecting people worldwide, which demands studies on how VAs can be used as a tool to provide useful information. OBJECTIVE: This work aimed to perform a quality analysis of different VAs’ responses regarding the actual and important subject of COVID-19 vaccines. We focused on this important subject since vaccines are now available and society has urged for the population to be rapidly immunized. METHODS: The proposed study was based on questions that were collected from the official World Health Organization website. These questions were submitted to the 5 dominant VAs (Alexa, Bixby, Cortana, Google Assistant, and Siri), and responses were evaluated according to a rubric based on the literature. We focused this study on the Portuguese language as an additional contribution, since previous works are mainly focused on the English language, and we believe that VAs cannot be optimized to foreign languages. RESULTS: Results showed that Google Assistant has a better overall performance, and only this VA and Samsung Bixby achieved high scores on question understanding in the Portuguese language. Regarding the obtained answers, the study also showed the best Google Assistant overall performance. CONCLUSIONS: Under the urgent context of COVID-19 vaccination, this work can help to understand how VAs must be improved to be more useful to the society and how careful people must be when considering VAs as a source of health information. VAs have been demonstrated to perform well regarding comprehension and user-friendliness. However, this work has found that they must be better integrated to their information sources to be useful as health information tools. JMIR Publications 2022-03-21 /pmc/articles/PMC8942094/ /pubmed/35041617 http://dx.doi.org/10.2196/34674 Text en ©Carlos Maurício Seródio Figueiredo, Tiago de Melo, Raphaela Goes. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 21.03.2022. 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 JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Seródio Figueiredo, Carlos Maurício de Melo, Tiago Goes, Raphaela Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment |
title | Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment |
title_full | Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment |
title_fullStr | Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment |
title_full_unstemmed | Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment |
title_short | Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment |
title_sort | evaluating voice assistants' responses to covid-19 vaccination in portuguese: quality assessment |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942094/ https://www.ncbi.nlm.nih.gov/pubmed/35041617 http://dx.doi.org/10.2196/34674 |
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