Table 1.
Chatbot characteristics.
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|
Proprietary name | Country | Vaccines | Use cases | Chatbot type | Development platform | Deployment platform | Evaluation methodology | Outcome variables | Theoretical underpinning |
| Altay et al [19] | None | France | COVID-19 | Information provision | Rules-based | Not specified | Custom-built web page | Randomized control trial (n=701) | COVID-19 vaccine attitudes; COVID-19 vaccine intent | None stated |
| Hong et al [20] | None | South Korea | Childhood vaccines as per national immunization schedule | Information provision; vaccine scheduling; appointment reminders; misinformation debunking; financial incentives | Natural language | Google Dialog-flow | Kakao Plus Friend | Quasi-experiment (n=65) | Vaccination information; Vaccination motivation; Self-efficacy; Vaccination behavioral intention | Information-motivation behavioral skills model |
| Chalaguine and Hunter [22] | None | United Kingdom (inferred) | COVID-19 | Vaccine counseling or persuasion; information provision | Natural language | Javascript and Python | Flask web server | Experiment (n=300) | COVID-19 vaccine intent | None stated |
| Kobayashi et al [21] | Corowa-kun | Japan | COVID-19 | Information provision | Hybrid rules-based or natural language | Not specified | LINE | Cross-sectional survey (n=10,192) | COVID-19 vaccine intent | None stated |
| Amith et al [16,17] | None | United States | HPVa | Vaccine counseling or persuasion; information provision | Simulated conversational agent (“Wizard of Oz”) | Apple SDKb | iPad app | Pre- and postuse surveys (2019: n=18; 2020: n=24) | Vaccine hesitancy; Perceived chatbot usability | Health Belief Model |
| Tsai et al [18] | None | United States | HPV | Information provision | Simulated conversational agent (“Wizard of Oz”) | tawk.to | Website | Experiment (n=142) | Satisfaction with chatbot; Perceived chatbot utility; HPV vaccine intent | Agency effect |
aHPV: human papillomavirus.
bSDK: Software Development Kit.