Building a 'Deeper' Trust: Mapping the Facial Anthropomorphic Trustworthiness in Social Robot Design through Multidisciplinary Approaches

摘要

OVERVIEW As a robotic application in artificial intelligence (AI), a social robot is designed for social communication and interactions with humans. Regarding human nature to anthropomorphize objectives, people's trustworthiness perception towards a social robot is prominent in Human-Robot Interaction (HRI). However, how to achieve a trustworthy looking for social robots is still a challenging problem, this project tries to contribute to this research gap by exploring the meaning of facial anthropomorphic trustworthiness, the effect of specific facial features and their combinations on anthropomorphic trustworthiness, and the effect of dynamic facial features on anthropomorphic trustworthiness under different daily contexts through multidisciplinary approaches. Theoretical contributions and practical implications are discussed in this project.