Computer Science

Exploring the mechanism of sustained consumer trust in AI chatbots after service failures: a perspective based on attribution and CASA theories

C. Gu, Y. Zhang, et al.

This research, conducted by Chenyu Gu, Yu Zhang, and Linhao Zeng, unveils critical insights into maintaining consumer trust in AI chatbots after service failures. It integrates CASA theory with attribution theory, revealing how human-like qualities in chatbots can enhance trust, even in the face of failures. Don't miss out on these key findings for AI chatbot development!

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