From Doctors to Chatbots: Effect of Disease Threat and Sigma on AI Health Information Seeking Behavior

Abstract

Artificial Intelligence is changing the way people look for health and managing the health information. This study explores how perceived disease risk, health related stigma and personal motivation effects the use of AI health tools and how these factors influence the trust satisfaction and health outcomes. A questionnaire was used to collect data from different AI platform users, and convenience sampling was applied. Descriptive, correlation and reliability analysis was used to understand the data. The results shows that people are more likely to use AI Health tools when they find any ear or threat to their health, and those who faces social stigma prefer private and confidential AI health tools. Factors like fast response, low or no costs, and privacy play an important role in adopting AI health tools. Trust in each platform increases the user satisfaction, and positive health outcomes improves their overall success. The study shows that AI health tools can be helpful, accessible and safe resource, especially when stigma, limited access or social pressure makes traditional health care more difficult. These findings can help design AI health tools that are faster, user friendly, culture aware and supportive of better health decisions and wellbeing.

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