Whether it is music, movie, and fashion, a recommendations system (RS) is a part of our daily life. With the current rise of research on Explainable Artificial Intelligence (XAI) and humanized recommendations system (RS), there is a demand for a recommendations system to explain about recommended items. With this trend, organizations have tried to incorporate explanations about how to come up with the list of recommendations. Giving and receiving a recommendation with a proper explanation is a highly social process, which is depended on personality, emotion, and environmental settings, especially for a receiver. Furthermore, one’s social process is highly shaped by her/his culture. On the one hand, researchers have explored the influence of culture on the list of recommendations and of a recommendations system. On the other hand, the explanations for those recommendations have not been considered. With the help of a scenariobased online survey for two types of recommendations systems based on XAI (Explainable Artificial Intelligence), we will investigate cultural influence on users’ perceptions for a explainable recommendations system in Germany and Korea.
저자
Ronja Rasche [ University of Hildesheim ]
DongBack Seo [ Department of Management Information Systems, Chungbuk National University ]
Corresponding Author
