Literature DB >> 31767629

Evaluating the quality of voice assistants' responses to consumer health questions about vaccines: an exploratory comparison of Alexa, Google Assistant and Siri.

Emily Couvillon Alagha1, Rachel Renee Helbing2.   

Abstract

OBJECTIVE: To assess the quality and accuracy of the voice assistants (VAs), Amazon Alexa, Siri and Google Assistant, in answering consumer health questions about vaccine safety and use.
METHODS: Responses of each VA to 54 questions related to vaccination were scored using a rubric designed to assess the accuracy of each answer provided through audio output and the quality of the source supporting each answer.
RESULTS: Out of a total of 6 possible points, Siri averaged 5.16 points, Google Assistant averaged 5.10 points and Alexa averaged 0.98 points. Google Assistant and Siri understood voice queries accurately and provided users with links to authoritative sources about vaccination. Alexa understood fewer voice queries and did not draw answers from the same sources that were used by Google Assistant and Siri.
CONCLUSIONS: Those involved in patient education should be aware of the high variability of results between VAs. Developers and health technology experts should also push for greater usability and transparency about information partnerships as the health information delivery capabilities of these devices expand in the future. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Amazon Alexa; Amazon Echo; Google Assistant; Siri; health literacy; intelligent assistant; vaccines; voice assistant; voice search

Mesh:

Substances:

Year:  2019        PMID: 31767629     DOI: 10.1136/bmjhci-2019-100075

Source DB:  PubMed          Journal:  BMJ Health Care Inform        ISSN: 2632-1009


  11 in total

1.  Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks.

Authors:  Karen Bonilla; Brian Gaitan; Jamie Sanders; Noami Khenglawt; Aqueasha Martin-Hammond
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

2.  Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic.

Authors:  Emre Sezgin; Yungui Huang; Ujjwal Ramtekkar; Simon Lin
Journal:  NPJ Digit Med       Date:  2020-09-16

3.  Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana.

Authors:  Samuel Yang; Jennifer Lee; Emre Sezgin; Jeffrey Bridge; Simon Lin
Journal:  JMIR Mhealth Uhealth       Date:  2021-01-11       Impact factor: 4.773

4.  Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study.

Authors:  Xin Yang; Ning Yang; Dwight Lewis; Jason Parton; Matthew Hudnall
Journal:  J Med Internet Res       Date:  2021-02-18       Impact factor: 5.428

5.  Delivering Perinatal Health Information via a Voice Interactive App (SMILE): Mixed Methods Feasibility Study.

Authors:  Lisa Militello; Emre Sezgin; Yungui Huang; Simon Lin
Journal:  JMIR Form Res       Date:  2021-03-01

6.  Reliability of Commercial Voice Assistants' Responses to Health-Related Questions in Noncommunicable Disease Management: Factorial Experiment Assessing Response Rate and Source of Information.

Authors:  Caterina Bérubé; Zsolt Ferenc Kovacs; Elgar Fleisch; Tobias Kowatsch
Journal:  J Med Internet Res       Date:  2021-12-20       Impact factor: 5.428

7.  Mitigating Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: Exploratory Mixed Methods Experiment.

Authors:  Timothy W Bickmore; Stefán Ólafsson; Teresa K O'Leary
Journal:  J Med Internet Res       Date:  2021-11-09       Impact factor: 5.428

8.  Ensuring Interrater Reliability When Evaluating Voice Assistants. Comment on "Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment".

Authors:  Rujittika Mungmunpuntipantip; Viroj Wiwanitkit
Journal:  JMIR Hum Factors       Date:  2022-03-21

9.  Anthropomorphizing Technology: A Conceptual Review of Anthropomorphism Research and How it Relates to Children's Engagements with Digital Voice Assistants.

Authors:  Janik Festerling; Iram Siraj
Journal:  Integr Psychol Behav Sci       Date:  2021-11-23       Impact factor: 1.156

10.  Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment.

Authors:  Carlos Maurício Seródio Figueiredo; Tiago de Melo; Raphaela Goes
Journal:  JMIR Hum Factors       Date:  2022-03-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.