Palanica Adam, Fossat Yan
Klick Applied Sciences, Klick Health, Klick Inc., Toronto, ON, Canada.
Front Digit Health. 2021 May 19;3:669971. doi: 10.3389/fdgth.2021.669971. eCollection 2021.
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.
本研究是对我们之前研究的重复和比较，之前的研究考察了包括亚马逊Alexa、谷歌助手和苹果Siri在内的流行智能虚拟助手识别美国最常用的50种处方药通用名和品牌名的理解准确率。使用2019年完全相同的语音记录，2021年将46名参与者的音频片段播放给每个设备。谷歌助手在品牌药名（86.0%）和通用药名（84.3%）方面的理解准确率最高，其次是苹果Siri（品牌名=78.4%，通用名=75.0%），而亚马逊Alexa的准确率最低（品牌名64.2%，通用名=66.7%）。这些发现与我们之前的研究结果趋势相同，但显示在过去两年中，亚马逊Alexa和苹果Siri的性能显著提高了约10-24%。这表明人工智能软件算法已经改进，能够更好地识别复杂药名的语音特征，这对远程医疗和数字医疗服务具有重要意义。
