Clinical Report: The Impact of Unintentional Exposure on AI Chatbots in Healthcare

Overview

This study investigates how incidental exposure to media information about healthcare AI chatbots influences users' intention to continue using these technologies. It highlights the role of cognitive and affective responses in shaping user engagement with AI chatbots in healthcare settings.

Background

The integration of AI chatbots in healthcare offers a potential solution to address the limitations of traditional medical resources and strained doctor-patient relationships. Despite initial interest, many users discontinue their engagement with these technologies, making it essential to understand the factors that influence sustained usage. This study focuses on the impact of media exposure on users' continuous intention to utilize healthcare AI chatbots.

Data Highlights

No numerical or trial data provided in the source material.

Key Findings

• Incidental exposure to media information about healthcare AI chatbots can influence users' cognitive and affective responses.
• Users' pre-existing attitudes toward human doctors may affect their interpretation of information regarding AI technologies.
• The study employs the hierarchy-of-effects model to assess the relationship between media exposure and continuous usage intention.
• Prior research indicates that AI chatbots are increasingly used for self-diagnosis and health-related inquiries.
• Healthcare AI chatbots are seen as a cost-effective alternative, particularly in underserved regions.

Clinical Implications

Understanding the factors that influence continuous engagement with AI chatbots can help in designing better communication strategies and interventions. This knowledge may enhance the effectiveness of AI technologies in healthcare settings.

Conclusion

The findings underscore the importance of media exposure in shaping users' intentions to continue using healthcare AI chatbots, highlighting the need for targeted communication strategies.

Related Resources & Content

1. Shahsavar and Choudhury, Digital Health, 2023 -- The Impact of Unintentional Exposure on Ongoing Utilization of AI Chatbots in Healthcare
2. DIGITAL HEALTH — Understanding the influence of perceived intelligence and perceived anthropomorphism on users’ intention to adopt healthcare chatbots
3. npj Digital Medicine — Changes in public perception of artificial intelligence in healthcare after exposure to ChatGPT
4. JMIR Medical Informatics — A Multiassessment and Multiprofessional Agents Approach for Medical Chatbot Risk Estimation: Development and Evaluation Study
5. Journal of Medical Internet Research (JMIR) — Factors Shaping Trust and Satisfaction With AI Medical Chatbots: A Mixed Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases
6. Understanding the influence of perceived intelligence and perceived anthropomorphism on users’ intention to adopt healthcare chatbots
7. Changes in public perception of artificial intelligence in healthcare after exposure to ChatGPT
8. A Multiassessment and Multiprofessional Agents Approach for Medical Chatbot Risk Estimation: Development and Evaluation Study
9. Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions | FDA
10. An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action | The National Academies Press
11. Randomized Trial of a Generative AI Chatbot for Mental Health Treatment | NEJM AI