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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 31, 2022
Open Peer Review Period: Mar 31, 2022 - May 26, 2022
Date Accepted: Jun 14, 2022
Date Submitted to PubMed: Jun 23, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Chatbot-Delivered COVID-19 Vaccine Communication Message Preferences of Young Adults and Public Health Workers in Urban American Communities: Qualitative Study

Weeks R, Cooper L, Sangha P, Sedoc J, White S, Toledo A, Gretz S, Lahav D, Martin N, Michel A, Lee JH, Slonim N, Bar-Zeev N

Chatbot-Delivered COVID-19 Vaccine Communication Message Preferences of Young Adults and Public Health Workers in Urban American Communities: Qualitative Study

J Med Internet Res 2022;24(7):e38418

DOI: 10.2196/38418

PMID: 35737898

PMCID: 9301547

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

COVID-19 Vaccine Communication via Chatbot: A Qualitative Study on Message Preferences of Young Adults and Public Health Workers in Urban American Communities

  • Rose Weeks; 
  • Lyra Cooper; 
  • Pooja Sangha; 
  • João Sedoc; 
  • Sydney White; 
  • Assaf Toledo; 
  • Shai Gretz; 
  • Dan Lahav; 
  • Nina Martin; 
  • Alexandra Michel; 
  • Jae Hyoung Lee; 
  • Noam Slonim; 
  • Naor Bar-Zeev

ABSTRACT

Background:

Automated conversational agents, or chatbots, have a role in reinforcing evidence-based guidance delivered through other media and offer an accessible, individually tailored channel for public health guidance. In early-to-mid-2021, young adults and Black and Hispanic community members in the U.S. were more likely to be hesitant toward COVID-19 vaccines, citing concerns regarding vaccine safety and effectiveness. Successful chatbot communication requires purposive understanding of user needs, and little is known about how vaccine messaging should be delivered by educational chatbots in health contexts.

Objective:

We sought to review the acceptability of messages to be delivered by a chatbot named VIRA from Johns Hopkins University. The study investigated which message styles were preferred by young, urban-dwelling Americans as well as public health workers, since we anticipated the chatbot would be used by the latter as a job aid.

Methods:

We conducted four virtual focus groups with 20 racially and ethnically diverse adults 18-61 years old living in or near eastern U.S. cities. We tested six message styles, asking participants to select a preferred response style for a chatbot answering common questions about COVID-19 vaccines. We transcribed, coded, and categorized emerging themes within discussions of message content, style, and framing.

Results:

Participants overwhelmingly preferred responses that began with an empathetic reflection of a user concern and concluded with a straightforward, fact-supported response. Most participants disliked moralistic or reasoning-based appeals to get vaccinated, although a subset of public health workers felt such strong statements were warranted. Responses containing humor, testimonials, or unsympathetic phrases did not appeal.

Conclusions:

To foster credibility, chatbots targeting young people should aim to build rapport with users by deploying empathic, reflective statements, followed by direct and comprehensive responses to user queries. Further studies are needed to inform the appropriate utilization of user-tailored testimonials and humor in the context of chatbot communication, since these strategies can effectively engage and influence users through social media and other digital communication media.


 Citation

Please cite as:

Weeks R, Cooper L, Sangha P, Sedoc J, White S, Toledo A, Gretz S, Lahav D, Martin N, Michel A, Lee JH, Slonim N, Bar-Zeev N

Chatbot-Delivered COVID-19 Vaccine Communication Message Preferences of Young Adults and Public Health Workers in Urban American Communities: Qualitative Study

J Med Internet Res 2022;24(7):e38418

DOI: 10.2196/38418

PMID: 35737898

PMCID: 9301547

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