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Study finds perceived benefits drive intention to use AI chatbots for health, but topic sensitivity reduces self-disclosure
A new study with 1,388 Dutch participants shows that perceived benefits are the strongest predictor of intention to use AI chatbots for health questions, while topic sensitivity reduces willingness to self-disclose. The research highlights how topic type (physical vs. psychological) and individual characteristics influence user attitudes.
0 engagement·1 source·Fri, Jul 10, 2026, 10:07 AM
Researchers conducted an online experiment with a 2 (topic type: physical vs. psychological) x 2 (topic sensitivity: low vs. high) mixed design among a representative Dutch sample (N=1,388). Results indicated that perceived benefits positively associated with intention to use AI chatbots, while perceived risks and topic sensitivity negatively affected willingness to self-disclose. The study provides insights for designing health AI chatbots that balance utility and privacy concerns.