COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development
BackgroundCoronavirus continues to spread worldwide, causing various health and economic disruptions. One of the most important approaches to controlling the spread of this disease is to use an artificial intelligence (AI)–based technological intervention, such as a chatbot s...
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| Format: | Article |
| Language: | English |
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JMIR Publications
2022-10-01
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| Series: | JMIR Formative Research |
| Online Access: | https://formative.jmir.org/2022/10/e39157 |
| _version_ | 1797734613261484032 |
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| author | Chinedu Wilfred Okonkwo Lateef Babatunde Amusa Hossana Twinomurinzi |
| author_facet | Chinedu Wilfred Okonkwo Lateef Babatunde Amusa Hossana Twinomurinzi |
| author_sort | Chinedu Wilfred Okonkwo |
| collection | DOAJ |
| description |
BackgroundCoronavirus continues to spread worldwide, causing various health and economic disruptions. One of the most important approaches to controlling the spread of this disease is to use an artificial intelligence (AI)–based technological intervention, such as a chatbot system. Chatbots can aid in the fight against the spread of COVID-19.
ObjectiveThis paper introduces COVID-Bot, an intelligent interactive system that can help screen students and confirm their COVID-19 vaccination status.
MethodsThe design and development of COVID-Bot followed the principles of the design science research (DSR) process, which is a research method for creating a new scientific artifact. COVID-Bot was developed and implemented using the SnatchBot chatbot application programming interface (API) and its predefined tools, which are driven by various natural language processing algorithms.
ResultsAn evaluation was carried out through a survey that involved 106 university students in determining the functionality, compatibility, reliability, and usability of COVID-Bot. The findings indicated that 92 (86.8%) of the participants agreed that the chatbot functions well, 85 (80.2%) agreed that it fits well with their mobile devices and their lifestyle, 86 (81.1%) agreed that it has the potential to produce accurate and consistent responses, and 85 (80.2%) agreed that it is easy to use. The average obtained α was .87, indicating satisfactory reliability.
ConclusionsThis study demonstrates that incorporating chatbot technology into the educational system can combat the spread of COVID-19 among university students. The intelligent system does this by interacting with students to determine their vaccination status. |
| first_indexed | 2024-03-12T12:46:54Z |
| format | Article |
| id | doaj.art-e484123548b6444c819a7cc169018feb |
| institution | Directory Open Access Journal |
| issn | 2561-326X |
| language | English |
| last_indexed | 2024-03-12T12:46:54Z |
| publishDate | 2022-10-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Formative Research |
| spelling | doaj.art-e484123548b6444c819a7cc169018feb2023-08-28T23:20:16ZengJMIR PublicationsJMIR Formative Research2561-326X2022-10-01610e3915710.2196/39157COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and DevelopmentChinedu Wilfred Okonkwohttps://orcid.org/0000-0001-8135-7738Lateef Babatunde Amusahttps://orcid.org/0000-0002-8848-1149Hossana Twinomurinzihttps://orcid.org/0000-0002-9811-3358 BackgroundCoronavirus continues to spread worldwide, causing various health and economic disruptions. One of the most important approaches to controlling the spread of this disease is to use an artificial intelligence (AI)–based technological intervention, such as a chatbot system. Chatbots can aid in the fight against the spread of COVID-19. ObjectiveThis paper introduces COVID-Bot, an intelligent interactive system that can help screen students and confirm their COVID-19 vaccination status. MethodsThe design and development of COVID-Bot followed the principles of the design science research (DSR) process, which is a research method for creating a new scientific artifact. COVID-Bot was developed and implemented using the SnatchBot chatbot application programming interface (API) and its predefined tools, which are driven by various natural language processing algorithms. ResultsAn evaluation was carried out through a survey that involved 106 university students in determining the functionality, compatibility, reliability, and usability of COVID-Bot. The findings indicated that 92 (86.8%) of the participants agreed that the chatbot functions well, 85 (80.2%) agreed that it fits well with their mobile devices and their lifestyle, 86 (81.1%) agreed that it has the potential to produce accurate and consistent responses, and 85 (80.2%) agreed that it is easy to use. The average obtained α was .87, indicating satisfactory reliability. ConclusionsThis study demonstrates that incorporating chatbot technology into the educational system can combat the spread of COVID-19 among university students. The intelligent system does this by interacting with students to determine their vaccination status.https://formative.jmir.org/2022/10/e39157 |
| spellingShingle | Chinedu Wilfred Okonkwo Lateef Babatunde Amusa Hossana Twinomurinzi COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development JMIR Formative Research |
| title | COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development |
| title_full | COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development |
| title_fullStr | COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development |
| title_full_unstemmed | COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development |
| title_short | COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development |
| title_sort | covid bot an intelligent system for covid 19 vaccination screening design and development |
| url | https://formative.jmir.org/2022/10/e39157 |
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