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Both social design features and chatbot design features shaped adoption-related beliefs, with peer-oriented and family-oriented framing and AI-powered chatbots showing particular promise.
This work proposes an acceptance criteria framework (ACF) to determine implementation fit, defined as meeting prespecified minimum performance standards and demonstrating nonproblematic behavior under anticipated use and demonstrates how the ACF can guide deployment decisions.
Ordering of COVID-19 test kits among underserved patients who interacted with the chatbot was high, suggesting chatbots may represent a viable approach to reach underserved populations as a part of public health response in a pandemic.
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