Exploring factors influencing user perspective of ChatGPT as a technology that assists in healthcare decision making: A cross sectional survey study
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View abstract on PubMed
Summary
This summary is machine-generated.Users perceive ChatGPT differently for health queries versus general use. For healthcare, competence and trustworthiness are key, while general use considers security and benefits.
Area Of Science
- Artificial Intelligence in Healthcare
- Human-Computer Interaction
- Digital Health
Background
- The integration of advanced AI tools like ChatGPT into healthcare decision-making presents both opportunities and risks.
- AI effectiveness is contingent on data quality, posing challenges for accurate health information dissemination.
- User perception of AI's reliability and safety is crucial for adoption in sensitive domains like healthcare.
Purpose Of The Study
- To assess user perceptions of ChatGPT, focusing on those utilizing it for health-related queries.
- To investigate factors influencing reliance on ChatGPT for health decisions, including competence, reliability, transparency, trustworthiness, security, and persuasiveness.
- To compare user expectations of ChatGPT in healthcare versus non-healthcare contexts.
Main Methods
- A web-based survey distributed to U.S. adults who use ChatGPT monthly.
- Bayesian Linear Regression analysis to determine ChatGPT's aid in informed decision-making.
- Content analysis with thematic coding for qualitative data on user opinions.
Main Results
- In healthcare, perceived competence and trustworthiness were the most critical factors for effective ChatGPT use ('Competent + Trustworthy + ChatGPT for healthcare queries').
- Non-healthcare contexts showed a broader range of influential factors, including trustworthiness, security, perceived benefits, satisfaction, willingness to decide, intent to use, and persuasiveness.
- A significant difference in user expectations and requirements for AI systems was observed based on the application context.
Conclusions
- User expectations for AI tools like ChatGPT diverge significantly between healthcare and non-healthcare applications.
- Perceived competence and trustworthiness are paramount for AI adoption in health decision-making.
- A balanced approach harmonizing technological advancement with user readiness is essential for responsible AI integration.
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