Evidence map›Paper›PMID 40194281›Full record

ArticleAsian/Pacific Island nursing journal2025

A Culturally Tailored Artificial Intelligence Chatbot (K-Bot) to Promote Human Papillomavirus Vaccination Among Korean Americans: Development and Usability Study.

Minjin Kim, Ellie Kim, Hyeongsuk Lee, Meihua Piao, Brittany Rosen, Jeroan J Allison, Adrian H Zai, Hoa L Nguyen, Dong-Soo Shin, Jessica A Kahn

Abstract read
In one paragraph

Article in Asian/Pacific Island nursing journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Minjin KimCollege of Nursing, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-9164-8149
Ellie KimCollege of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0003-3462-6485
Hyeongsuk LeeResearch Institute of AI and Nursing Science, College of Nursing, Gachon University, Incheon, Republic of Korea.ORCID https://orcid.org/0000-0001-7597-3163
Meihua PiaoSchool of Nursing, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-2436-6870
Brittany RosenCollege of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-3151-9927
Jeroan J AllisonDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-4472-2112
Adrian H ZaiDepartment of Population and Quantitative Health Sciences, Division of Health Informatics and Implementation Science, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-2972-6839
Hoa L NguyenDepartment of Population and Quantitative Health Sciences, Division of Epidemiology, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-4998-8510
Dong-Soo ShinSchool of Nursing, Hallym University, Chuncheon, Republic of Korea.ORCID https://orcid.org/0000-0002-5289-3571
Jessica A KahnDepartment of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, United States.ORCID https://orcid.org/0000-0002-6313-4976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) is the most common sexually transmitted infection (STI) worldwide and is associated with various cancers, including cervical and oropharyngeal cancers. Despite the availability of effective vaccines, significant disparities in HPV vaccination rates persist, particularly among racial and ethnic minorities, such as Korean Americans. Cultural stigma, language barriers, and limited access to tailored health information contribute to these disparities.

objectiveThis study aimed to develop and evaluate the usability of K-Bot, an artificial intelligence (AI)-powered, culturally tailored, bilingual (Korean and English) chatbot designed to provide culturally sensitive health information about HPV vaccination to Korean immigrants and Korean Americans.

methodsK-Bot was developed using CloudTuring and Google Dialogflow. Its dialogues were created using Centers for Disease Control and Prevention (CDC) evidence-based HPV information and tailored to the Korean American population based on findings from previous studies. The evaluation and refinement process for K-Bot was organized into 3 phases: (1) expert evaluation by a multidisciplinary panel, (2) usability testing, and (3) iterative refinement based on feedback. An online survey collected demographics, HPV awareness, and vaccination status before 6 focus groups (N=21) sessions using semistructured questions guided by Peter Morville's usability framework. Quantitative data were analyzed descriptively, and thematic analysis assessed usability, cultural relevance, and content clarity across 6 dimensions: desirability, accessibility, findability, credibility, usability, and usefulness.

resultsParticipants had a mean age of 23.7 (SD 4.7) years, with most being female (n=12, 57.1%), second-generation individuals (n=13, 61.9%), and single (n=20, 95.2%). HPV awareness was high (n=19, 90.5%), vaccine knowledge was also high (n=18, 81.8%), but only 11 (52.4%) participants were vaccinated. Feedback-driven refinements addressed usability challenges, including simplifying navigation and adding visual elements. Participants described K-Bot as a promising tool for promoting HPV vaccination among Korean and Korean American users, citing its bilingual functionality and culturally tailored content as key strengths. Evidence-based information was valued, but participants recommended visuals to improve engagement and reduce cognitive load. Accessibility concerns included broken links, and participants proposed enhancements, such as animations, demographic-specific resources, and interactive features, to improve usability and engagement further.

conclusionsUsability testing of K-Bot revealed its potential as a culturally tailored, bilingual tool for promoting HPV vaccination among Korean immigrants and Korean Americans. Participants valued its evidence-based information, cultural relevance, and bilingual functionality but recommended improvements, such as enhanced navigation, visual elements, and interactive features, to boost engagement and usability. These findings support the potential of AI-driven tools to improve health care access by addressing key barriers to care. Further research is needed to evaluate their broader impact and optimize their design and implementation for individuals with diverse health care needs.

Indexed as

AIartificial intelligencechatbot interventionculturally tailored interventionHPV vaccinationhuman papillomavirusKorean Americansusability testing

Identifiers

PMID40194281
PMCPMC12012392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.