인공지능을 활용한 유럽 내 백신 허위 정보에 대한 인지적 회복력 구축
대화형 AI를 활용한 백신 허위 정보에 대한 인지적 회복력 구축: 유럽 다국가 무작위 시험의 증거
This multi-country trial evaluates an AI chatbot designed to counter cognitive biases and inoculate parents against vaccine misinformation, embedded within a large survey across five European countries (n=5,000). Scaled from a 2026 single-country study, outcomes compare behavioural and attitudinal responses against standard-of-care materials (e.g., UNICEF infographics) to identify effective, scalable misinformation interventions.
연구 개요
상세 설명
The aim of this multi-country trial is to identify and quantify the effectiveness of inoculation strategies against vaccine-related misinformation. Building on a single-country study implemented in early 2026 [NCT07488962], the study evaluates an AI chatbot designed to counter cognitive biases, embedded within a larger survey to enable integrated assessment of engagement, behavioural responses, and system performance at scale.
The study will be conducted across five European countries-the United Kingdom, the Netherlands, Croatia, Latvia, and Slovakia-with a total sample of 5,000 parents or caregivers (n=1,000 per country). Participants will complete a structured survey assessing childhood vaccination behaviours, vaccine confidence, trust in information sources, exposure to misinformation, and relevant psychological and sociodemographic factors.
Participants will be randomly assigned to either the intervention or control arm. The intervention arm will receive the AI-based chatbot, while the control arm will receive standard-of-care materials-such as national or international health institute communications (e.g., UNICEF infographics)-that address the same misinformation messages, enabling a direct and rigorous comparison.
The primary outcome is parents' ability to correctly distinguish true from false childhood vaccine statements. Quantitative analyses will include pooled and country-specific models to identify determinants of vaccine confidence and estimate intervention effects. Findings will clarify drivers of declining vaccine confidence and assess whether a scalable AI-based chatbot can reduce vulnerability to misinformation and support informed vaccination decisions.
연구 유형
등록 (추정된)
단계
- 해당 없음
연락처 및 위치
연구 연락처
- 이름: Leesa Lin, PhD
- 전화번호: +44 (0)20 7636 8636
- 이메일: Leesa.Lin@lshtm.ac.uk
연구 연락처 백업
- 이름: Kana Kobayashi, MSPH
- 이메일: Kana.Kobayashi@lshtm.ac.uk
연구 장소
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London, 영국
- 모병
- London School of Hygiene and Tropical Medicine
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연락하다:
- Leesa Lin
- 전화번호: +44 20 7927 2555
- 이메일: Leesa.Lin@lshtm.ac.uk
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
설명
Inclusion Criteria:
- Parents or caregivers with children under 18 years old in the five target countries (UK, Netherlands, Croatia, Latvia, and Slovakia); and
- Those who have regular access to a digital device and the internet
Exclusion Criteria:
- Participants who do not meet the inclusion criteria.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 건강 서비스 연구
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 더블
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
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실험적: AI-driven chatbot
An interactive, web-based, AI-driven chatbot intervention designed to counter vaccine misinformation. It can be accessed via a personal computer, tablet, or mobile device through a web- browser link. |
A tailored AI-driven chatbot designed to counter vaccine misinformation. |
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활성 비교기: Social media infographic
A UNICEF social media infographic with three "myth vs. fact" statements on vaccination that correspond to the same misinformation tactics explained by the MindShield chatbot. |
A UNICEF social media infographic with three "myth vs. fact" statements on vaccination. |
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Parental susceptibility to misinformation about childhood vaccination
기간: Through study completion, an average of 20-30 minutes
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The primary outcome of this study will assess parental susceptibility to misinformation about childhood vaccination, defined as parents' ability to accurately distinguish between true and false vaccine-related information. This will be measured using ten statements on childhood vaccines, including four true and six false, rumour-related statements. Two of the rumour-related statements correspond to each of the three misinformation tactics introduced by the chatbot and the UNICEF infographic. This measure reflects parents' ability to identify misinformation containing manipulation tactics they were inoculated against and to distinguish true from false information regarding childhood vaccination. Responses will be recorded as "True", "False", or "Don't know". A composite misinformation susceptibility score will be calculated based on the number of correct responses, with higher scores indicating greater ability to identify vaccine misinformation accurately. |
Through study completion, an average of 20-30 minutes
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Vaccine confidence
기간: Through study completion, an average of 20-30 minutes
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Vaccine confidence will be assessed using three statements addressing whether childhood vaccines are important, safe, and effective. Responses will range from "Strongly agree" to "Strongly disagree", with a "Don't know" option. A composite score ranging from 0 to 100 will be calculated, with higher scores indicating greater vaccine confidence. |
Through study completion, an average of 20-30 minutes
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공동 작업자 및 조사자
수사관
- 수석 연구원: Leesa Lin, PhD, London School of Hygiene and Tropical Medicine
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .