Understanding the influence of perceived intelligence and perceived anthropomorphism on users’ intention to adopt healthcare chatbots
By
Shanshan Li
Heng Zhang
Hao Fan
June 8, 2026
Clinical Scorecard: Exploring the Impact of User Perceptions of Intelligence and Anthropomorphism on the Adoption of Healthcare Chatbots
At a Glance
Category Detail
Condition Key Mechanisms Perceived anthropomorphism and perceived intelligence, which influence user trust and adoption. Target Population Care Setting
Key Highlights
User concerns about performance risk and fairness must be addressed to enhance adoption. Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Potential errors made by medical AI systems may hinder adoption. Perceptions of bias in AI systems are crucial for implementation. Implement user feedback mechanisms to identify and mitigate risks. Patient & Prescribing Data
Users of AI-enabled healthcare chatbots
Chatbots can deliver timely and personalized responses.
Clinical Best Practices
Enhance perceived anthropomorphism to improve user trust. Address user concerns regarding performance risk and fairness. Evaluate trust in chatbots across multiple dimensions, using surveys or user feedback. Related Resources & Content
