IVACS: I ntelligent V oice A ssistant for C oronavirus Disease (COVID-19) S elf-Assessment
| Autor: | Praveen Damacharla, Vijay Devabhaktuni, Hari K. Vege, Ahmad Y. Javaid, Parashar Dhakal |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Coronavirus disease 2019 (COVID-19) Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computer Science - Human-Computer Interaction 02 engineering and technology Disease medicine.disease Disease control World health Human-Computer Interaction (cs.HC) Contagious disease Task (project management) Computer Science - Computers and Society 020901 industrial engineering & automation Empirical research Computers and Society (cs.CY) Pandemic 0202 electrical engineering electronic engineering information engineering Task analysis medicine 020201 artificial intelligence & image processing Medical emergency |
| Zdroj: | 2020 International Conference on Artificial Intelligence & Modern Assistive Technology (ICAIMAT) |
| DOI: | 10.1109/icaimat51101.2020.9308013 |
| Popis: | 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 the spread of this global pandemic. 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. |
| Databáze: | OpenAIRE |
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