Christa Palancia Esposito, Jennifer Schindler-Ruwisch
{"title":"\"Alexa, did the pandemic make you smarter?\" A follow up content analysis of a virtual assistant's responses to a prenatal query.","authors":"Christa Palancia Esposito, Jennifer Schindler-Ruwisch","doi":"10.1080/17538157.2022.2110107","DOIUrl":null,"url":null,"abstract":"<p><p>To compare responses to 40 common prenatal questions from Amazon's virtual assistant, Alexa, one year apart during the COVID pandemic. Participants: Two researchers replicated a prenatal query using unique Alexa devices. A conceptual content analysis was conducted where the researchers independently queried Alexa the identical questions from their 2020 study during the same one-week timeframe, between May 20, 2021 and May 27, 2021. Alexa's responses were compared to the 2020 study and the American College of Obstetricians and Gynecologists data and verified by one of the researchers, a Certified Nurse Midwife. Alexa provided accurate responses to 26 (65%) of the questions, an increase by 55 percentage points from 2020. Alexa was able to recite the symptoms of COVID-19 illness but was unable to provide a response to the two other COVID-specific questions. Compared to the 2020 query, Alexa provided more reputable sources for the responses including the CDC, WHO, NIH, and Mayo Clinic. Alexa's ability to provide more accurate, evidence-based responses was remarkably improved in 2021. Mobile health tools, like Amazon Alexa, are highly utilized by the public, particularly with limited healthcare access during the COVID-19 pandemic. Technology-based platforms should provide credible, evidence-based content.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":"48 3","pages":"231-238"},"PeriodicalIF":2.5000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics for Health & Social Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17538157.2022.2110107","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/8/23 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
To compare responses to 40 common prenatal questions from Amazon's virtual assistant, Alexa, one year apart during the COVID pandemic. Participants: Two researchers replicated a prenatal query using unique Alexa devices. A conceptual content analysis was conducted where the researchers independently queried Alexa the identical questions from their 2020 study during the same one-week timeframe, between May 20, 2021 and May 27, 2021. Alexa's responses were compared to the 2020 study and the American College of Obstetricians and Gynecologists data and verified by one of the researchers, a Certified Nurse Midwife. Alexa provided accurate responses to 26 (65%) of the questions, an increase by 55 percentage points from 2020. Alexa was able to recite the symptoms of COVID-19 illness but was unable to provide a response to the two other COVID-specific questions. Compared to the 2020 query, Alexa provided more reputable sources for the responses including the CDC, WHO, NIH, and Mayo Clinic. Alexa's ability to provide more accurate, evidence-based responses was remarkably improved in 2021. Mobile health tools, like Amazon Alexa, are highly utilized by the public, particularly with limited healthcare access during the COVID-19 pandemic. Technology-based platforms should provide credible, evidence-based content.
期刊介绍:
Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus.
The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems.
Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects.
Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome.
Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.