Abstract:
In this paper, we present our effort to understand how an agent's recommendation can affect human decision making by establishing trust and familiarity in a cross-cultura...Show MoreMetadata
Abstract:
In this paper, we present our effort to understand how an agent's recommendation can affect human decision making by establishing trust and familiarity in a cross-cultural context. We designed four different greeting gestures for the NAO robot based on human's greeting custom and conducted a user experiment in which participants from different countries interact with the robot for a designated recommendation task. In the experiment, we investigated how cultural familiarity affects acceptance of an agent's recommendation. 20 participants from four different countries participated in the experiment. The result of the experiment suggests a cross-cultural design method can increase the likelihood of acceptance of a humanoid social robot's recommendation task when interacting with users with different cultural backgrounds.
Date of Conference: 06-08 March 2020
Date Added to IEEE Xplore: 05 March 2021
ISBN Information: