Detection of humanoid robot design preferences using EEG and eye tracker

• Main Authors: Liu, Yisi, Li, Fan, Tang, Lin Hei, Lan, Zirui, Cui, Jian, Sourina, Olga, Chen, Chun-Hsien
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Machine Learning; Humanoid Robots
• Online Access: https://hdl.handle.net/10356/146003
• Institution: Nanyang Technological University

Currently, many modern humanoid robots have little appeal due to their simple designs and bland appearances. To provide recommendations for designers and improve the designs of humanoid robots, a study of human's perception on humanoid robot designs is conducted using Electroencephalogram (EEG)...