论文标题
IVAC：冠状病毒病（COVID-19）自我评估的智能语音助手
IVACS: Intelligent Voice Assistant for Coronavirus Disease (COVID-19) Self-Assessment
论文作者
论文摘要
在撰写本文时，世界大约有1,100万例Covid-19，科学称为严重的急性呼吸综合症Corona-Corona-Virus 2（SARS-COV-2）。流行的关键步骤之一各种卫生组织提倡防止这种传染性疾病的传播是症状的自我评估。多个组织已经开创了基于移动和Web的应用程序，以自我评估Covid-19，以减少这一全球大流行的传播。我们为Covid-19自我评估（IVACS）提出了一位基于智能的语音助手。这位互动助手是为了使用疾病控制与预防中心（CDC）和世界卫生组织（WHO）提供的指南来诊断与COVID-19有关的症状。使用NASA任务载荷指数（TLX）对22名人类受试者（所有志愿者）进行了对应用程序的经验测试，并已经测量了受试者的性能精度。结果表明，IVAC对用户有益。但是，它仍然需要额外的研发来促进其广泛的应用。
At the time of writing this paper, the world has around eleven million cases of COVID-19, scientifically known as severe acute respiratory syndrome corona-virus 2 (SARS-COV-2). One of the popular critical steps various health organizations are advocating to prevent the spread of this contagious disease is self-assessment of symptoms. Multiple organizations have already pioneered mobile and web-based applications for self-assessment of COVID-19 to reduce this global pandemic's spread. We propose an intelligent voice-based assistant for COVID-19 self-assessment (IVACS). This interactive assistant has been built to diagnose the symptoms related to COVID-19 using the guidelines provided by the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO). The empirical testing of the application has been performed with 22 human subjects, all volunteers, using the NASA Task Load Index (TLX), and subjects performance accuracy has been measured. The results indicate that the IVACS is beneficial to users. However, it still needs additional research and development to promote its widespread application.
