Abstract
Artificial intelligence (AI) has been criticized for its black- box nature that confuses how outputs are derived. Some have proposed that explainable artificial intelligence (XAI) can address the issue and enhance users’ trust in AI. Drawing on the lens of persuasion theory, we develop a research model that depicts how explanation with vividness and user characteristics independently and jointly shape trust in AI. To test the model and associated hypotheses, we conduct an online experiment. The results suggest that individual characteristics not only directly affect trust but also moderate the relationship between explanation vividness and trust.
Recommended Citation
Cui, Xiaocong; Lee, Jung Min (Jeremy); and Hsieh, J. Po-An, "How may I persuade you to trust AI? Promote Customized Explainable AI through Information Vividness" (2019). SIGHCI 2019 Proceedings. 4.
https://aisel.aisnet.org/sighci2019/4