- Yao Song: The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong.
- Yan Luximon: The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong.
As an emerging artificial intelligence system, social robot could socially communicate and interact with human beings. Although this area is attracting more and more attention, limited research has tried to systematically summarize potential features that could improve facial anthropomorphic trustworthiness for social robot. Based on the literature from human facial perception, product, and robot face evaluation, this paper systematically reviews, evaluates, and summarizes static facial features, dynamic features, their combinations, and related emotional expressions, shedding light on further exploration of facial anthropomorphic trustworthiness for social robot design.