Factors that influence trust and willingness to use generative AI for health information : A cross-sectional study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F25%3A00141680" target="_blank" >RIV/00216224:14230/25:00141680 - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.sagepub.com/doi/10.1177/20552076251360973" target="_blank" >https://journals.sagepub.com/doi/10.1177/20552076251360973</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/20552076251360973" target="_blank" >10.1177/20552076251360973</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Factors that influence trust and willingness to use generative AI for health information : A cross-sectional study

Popis výsledku v původním jazyce

Objective Generative AI is increasingly used to provide health-related information in addition to online health information seeking (OHIS). Users’ willingness to adopt it is crucial. This study investigates individual factors associated with more frequent OHIS: health status, health anxiety, and eHealth literacy. Using the Technology Acceptance Model (TAM), we examined whether these factors are related to more trust in generative AI for health-related purposes and the willingness to use it. Methods Using SEM, we analyzed cross-sectional survey data (N = 4775) that is representative of adult Czech internet users (50% female; aged 18–95 years). Results Trust in AI was strongly associated with willingness to use AI. Health status and health anxiety were related to willingness to use AI only indirectly through trust. Higher eHealth literacy was associated with more trust only marginally and had no direct relationship with willingness to use AI. Wellness-related OHIS was positively associated with willingness to use AI for wellness purposes, and illness-related OHIS was associated with willingness to use AI for illness purposes. Conclusion Although not emphasized in TAM and its health-related extensions, trust seems to be a critical mediator in the adoption of generative AI for health purposes. Other factors related to OHIS were not associated with willingness to use AI, except for their relationship with trust. eHealth literacy is practically unrelated to trust and willingness to use AI, which is noteworthy given that health anxiety and health status related to higher acceptance are associated with more risky or high-stake use of online health information.

Název v anglickém jazyce

Factors that influence trust and willingness to use generative AI for health information : A cross-sectional study

Popis výsledku anglicky

Objective Generative AI is increasingly used to provide health-related information in addition to online health information seeking (OHIS). Users’ willingness to adopt it is crucial. This study investigates individual factors associated with more frequent OHIS: health status, health anxiety, and eHealth literacy. Using the Technology Acceptance Model (TAM), we examined whether these factors are related to more trust in generative AI for health-related purposes and the willingness to use it. Methods Using SEM, we analyzed cross-sectional survey data (N = 4775) that is representative of adult Czech internet users (50% female; aged 18–95 years). Results Trust in AI was strongly associated with willingness to use AI. Health status and health anxiety were related to willingness to use AI only indirectly through trust. Higher eHealth literacy was associated with more trust only marginally and had no direct relationship with willingness to use AI. Wellness-related OHIS was positively associated with willingness to use AI for wellness purposes, and illness-related OHIS was associated with willingness to use AI for illness purposes. Conclusion Although not emphasized in TAM and its health-related extensions, trust seems to be a critical mediator in the adoption of generative AI for health purposes. Other factors related to OHIS were not associated with willingness to use AI, except for their relationship with trust. eHealth literacy is practically unrelated to trust and willingness to use AI, which is noteworthy given that health anxiety and health status related to higher acceptance are associated with more risky or high-stake use of online health information.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30304 - Public and environmental health

Projekt

<a href="/cs/project/LX22NPO5101" target="_blank" >LX22NPO5101: Národní institut pro výzkum socioekonomických dopadů nemocí a systémových rizik</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Digital Health

ISSN

2055-2076

e-ISSN

2055-2076

Svazek periodika

11

Číslo periodika v rámci svazku

July

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

13

Strana od-do

1-13

Kód UT WoS článku

001537484700001

EID výsledku v databázi Scopus

2-s2.0-105016551001