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

Author:

Alagha Emily CouvillonORCID,Helbing Rachel ReneeORCID

Abstract

ObjectiveTo 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.MethodsResponses 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.ResultsOut 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.ConclusionsThose 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.

Publisher

BMJ

Subject

Health Information Management,Health Informatics,Computer Science Applications

Reference35 articles.

1. Fox S , Duggan M . Health online 2018. Pew Research Center 2013.

2. Inside Baidu’s Plan To Beat Google By Taking Search Out Of The Text Era. Available: https://www.fastcompany.com/3035721/baidu-is-taking-search-out-of-text-era-and-taking-on-google-with-deep-learning [Accessed 30 May 2019].

3. Rehkopf F . Voice search optimization (VSO): digital PR's new frontier. Communication World 2019:1–5.

4. Gartner top strategic predictions for 2018 and beyond. Available: https://www.gartner.com/smarterwithgartner/gartner-top-strategic-predictions-for-2018-and-beyond/ [Accessed 30 May 2019].

5. The growing footprint of digital assistants in the United States. Euromonitor 2019.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3