Medication Name Comprehension of Intelligent Virtual Assistants: A Comparison of Amazon Alexa, Google Assistant, and Apple Siri Between 2019 and 2021.

digital medicine intelligent virtual assistants medication names speech recognition verbal comprehension voice assistants

Journal

Frontiers in digital health
ISSN: 2673-253X
Titre abrégé: Front Digit Health
Pays: Switzerland
ID NLM: 101771889

Informations de publication

Date de publication:
2021
Historique:
received: 24 03 2021
accepted: 19 04 2021
entrez: 29 10 2021
pubmed: 30 10 2021
medline: 30 10 2021
Statut: epublish

Résumé

The current study was a replication and comparison of our previous research which examined the comprehension accuracy of popular intelligent virtual assistants, including Amazon Alexa, Google Assistant, and Apple Siri for recognizing the generic and brand names of the top 50 most dispensed medications in the United States. Using the exact same voice recordings from 2019, audio clips of 46 participants were played back to each device in 2021. Google Assistant achieved the highest comprehension accuracy for both brand medication names (86.0%) and generic medication names (84.3%), followed by Apple Siri (brand names = 78.4%, generic names = 75.0%), and the lowest accuracy by Amazon Alexa (brand names 64.2%, generic names = 66.7%). These findings represent the same trend of results as our previous research, but reveal significant increases of ~10-24% in performance for Amazon Alexa and Apple Siri over the past 2 years. This indicates that the artificial intelligence software algorithms have improved to better recognize the speech characteristics of complex medication names, which has important implications for telemedicine and digital healthcare services.

Identifiants

pubmed: 34713143
doi: 10.3389/fdgth.2021.669971
pmc: PMC8521933
doi:

Types de publication

Journal Article

Langues

eng

Pagination

669971

Informations de copyright

Copyright © 2021 Palanica and Fossat.

Déclaration de conflit d'intérêts

AP and YF were employed by the company Klick Health. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Adam Palanica (A)

Klick Applied Sciences, Klick Health, Klick Inc., Toronto, ON, Canada.

Yan Fossat (Y)

Klick Applied Sciences, Klick Health, Klick Inc., Toronto, ON, Canada.

Classifications MeSH