TY - JOUR
T1 - How Do AI-driven Chatbots Impact User Experience? Examining Gratifications, Perceived Privacy Risk, Satisfaction, Loyalty, and Continued Use
AU - Cheng, Yang
AU - Jiang, Hua
N1 - Publisher Copyright:
© 2020 Broadcast Education Association.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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U2 - 10.1080/08838151.2020.1834296
DO - 10.1080/08838151.2020.1834296
M3 - Article
AN - SCOPUS:85097417824
SN - 0883-8151
VL - 64
SP - 592
EP - 614
JO - Journal of Broadcasting and Electronic Media
JF - Journal of Broadcasting and Electronic Media
IS - 4
ER -