Do you understand the words that are comin outta my mouth? Voice assistant comprehension of medication names.
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Where this comes from
- Record sourced from PubMed, PMID 31304401.
- Also identified by DOI 10.1038/s41746-019-0133-x and PMC identifier 6586879.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
This study investigated the speech recognition abilities of popular voice assistants when being verbally asked about commonly dispensed medications by a variety of participants. Voice recordings of 46 participants (12 of which had a foreign accent in English) were played back to Amazon's Alexa, Google Assistant, and Apple's Siri for the brand- and generic names of the top 50 most dispensed medications in the United States. A repeated measures ANOVA indicated that Google Assistant achieved the highest comprehension accuracy for both brand medication names (<i>M</i> = 91.8%, SD = 4.2) and generic medication names (<i>M</i> = 84.3%, SD = 11.2), followed by Siri (brand names <i>M</i> = 58.5%, SD = 11.2; generic names <i>M</i> = 51.2%, SD = 16.0), and the lowest accuracy by Alexa (brand names <i>M</i> = 54.6%, SD = 10.8; generic names <i>M</i> = 45.5%, SD = 15.4). An interaction between voice assistant and participant accent was also found, demonstrating lower comprehension performance overall for those with a foreign accent using Siri (<i>M</i> = 48.8%, SD = 11.8) and Alexa (<i>M</i> = 41.7%, SD = 12.7), compared to participants without a foreign accent (Siri <i>M</i> = 57.0%, SD = 11.7; Alexa <i>M</i> = 53.0%, SD = 10.9). No significant difference between participant accents were found for Google Assistant. These findings show a substantial performance lead for Google Assistant compared to its voice assistant competitors when comprehending medication names, but there is still room for improvement.