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When Health Is at Stake: Comparing User Perceptions of Generative AI Chatbots for Chronic Disease Information Seeking
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An AI research paper on When Health Is at Stake: Comparing User Perceptions of Generative AI Chatbots for Chronic Disease Information Seeking.
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Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
Generative AI chatbots are increasingly used for health-related information seeking, yet little is known about how users evaluate different platforms in the context of chronic disease management. Unlike episodic health inquiries, chronic conditions require ongoing, reliable, and sensitive information support. Drawing on Task–Technology Fit theory, this work-in-progress study examines how perceived information quality (accuracy, relevance, completeness, timeliness, clarity) and interaction quality (ease of use, engagement, efficiency, cost-effectiveness, privacy protection) influence trust in four GenAI chatbots—ChatGPT, Gemini, Claude, and DeepSeek—and how trust shapes continued use and behavioral intention to act. Using a scenario-based online experiment, participants will interact with one of the assigned chatbots for chronic disease–related information seeking. This study offers a comparative, theory-driven perspective on human–AI interaction in chronic health contexts and provides implications for AI-enabled health information systems design.
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