A study involving 120 participants explored how social chatbots recover from errors to maintain user trust. Researchers found that when chatbots correct their own mistakes, users perceive them as more trustworthy and expert compared to when errors are corrected by external sources. The study also indicated that the strength of the social connection between the user and the chatbot amplifies the effectiveness of self-correction, suggesting that chatbots should be designed to handle their own errors to foster long-term credibility. AI
IMPACT Suggests design principles for AI chatbots to improve user trust and long-term engagement through effective error handling.
RANK_REASON Academic paper detailing findings on chatbot error correction and user trust. [lever_c_demoted from research: ic=1 ai=1.0]
Read on Hugging Face Daily Papers →
- Correct Yourself, Keep My Trust: How Self-Correction and Social Connection Shape Credibility in Social Chatbots
- expert chatbot
- Hugging Face
- social chatbots
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