How Do AI-driven Chatbots Impact User Experience? Examining Gratifications, Perceived Privacy Risk, Satisfaction, Loyalty, and Continued Use

By Yang Cheng, Hua Jiang. Journal of Broadcasting & Electronic Media, 2020

389 citations recorded by the source corpus.

ABSTRACT This study examined how artificial intelligence (AI)-driven chatbots impact user experience. It collected survey data from 1,064 consumers who used any chatbot service from the top 30 brands in the U.S. Results indicated that utilitarian (information), hedonic (entertainment), technology (media appeal), and social (social presence) gratifications obtained from chatbot use positively predicted users’ satisfaction with chatbot services of their selected brand. In contrast, perceived privacy risk associated with chatbot use reduced user satisfaction. Data also demonstrated that user satisfaction positively affected both the continued use intention of chatbot services and customer loyalty. Implications of this study are discussed.

Subfields: Artificial Intelligence, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/de5d889a2aca12aafd71bdeac5c6a3bee9539b4f

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In Artificial Intelligence

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In Sociology and Political Science

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