Piloting a COVID-19 vaccine chatbot with young adults and health workers in the U.S. to validate usability, credibility, and intention to use (Preprint)
Authors: Weeks Rose , Sangha Pooja , Cooper Lyra , Sedoc João , White Sydney , Gretz Shai , Toledo Assaf , Lahav Dan , Hartner Anna-Maria , Martin Nina M. , Lee Jae Hyoung , Slonim Noam , Bar-Zeev Naor 
Published: July 2022

BACKGROUND

The COVID-19 pandemic raised novel challenges in communicating reliable, continually changing health information to a broad and sometimes skeptical public, particularly around COVID-19 vaccines, which despite being comprehensively studied were the subject of viral misinformation. Chatbots are a promising technology to reach and engage populations during the pandemic. To inform and communicate effectively with users, chatbots must be highly usable and credible.

OBJECTIVE

We sought to understand how young adults and health workers in the U.S. assessed the usability and credibility of a web-based chatbot called Vira, created by the Johns Hopkins Bloomberg School of Public Health and IBM Research using natural language processing technology. Using a mixed-method approach, we sought to rapidly improve Vira’s user experience to support vaccine decision-making during the peak of the COVID-19 pandemic.

METHODS

We recruited racially and ethnically diverse young people and health workers, with both groups from urban areas of the U.S. We used the validated Chatbot Usability Questionnaire (CUQ) to understand the tool’s navigation, precision, and persona. We also conducted 11 interviews with health workers and young people to understand the user experience, whether they perceived the chatbot as confidential and trustworthy, and how they would use the chatbot. We coded and categorized emerging themes to understand the determining factors for participants’ assessment of chatbot usability and credibility.

RESULTS

Fifty-eight participants completed an online usability questionnaire and 11 completed in-depth interviews. Most questionnaire respondents (86-88%) said the chatbot was “easy to navigate” and “very easy to use,” and many (78%) said responses were relevant. The mean CUQ score was 70.2 ± 12.1 and scores ranged from 40.6 to 95.3. Interview participants felt the chatbot achieved high usability due to its strong functionality, performance, and perceived confidentiality, and that the chatbot could attain high credibility with a redesign of its cartoonish visual persona. Young people said they would use the chatbot to discuss vaccination with hesitant friends or family members, while health workers used or anticipated using the chatbot to support community outreach, save time, and stay up to date.

CONCLUSIONS

This formative study conducted during the pandemic’s peak provided user feedback for an iterative redesign of Vira. Taking a mixed-method approach provided multidimensional feedback, identifying how the chatbot worked well—being easy to use, answering questions appropriately, and using credible branding—while offering tangible steps to improve the product’s visual design. Future studies should evaluate how chatbots support personal health decision-making, particularly in the context of a public health emergency, and whether such outreach tools can reduce staff burnout. Randomized studies should also measure how chatbots countering health misinformation affect user knowledge, attitudes, and behavior.

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