Detection of humanoid robot design preferences using EEG and eye tracker

Yisi Liu, Fan Li, Lin Hei Tang, Zirui Lan, Jian Cui, Olga Sourina, Chun Hsien Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

14 Citations (Scopus)


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), eye tracking information and questionnaires. We proposed and carried out an experiment with 20 subjects to collect the EEG and eye tracking data to study their reaction to different robot designs and the corresponding preference towards these designs. This study can possibly give us some insights on how people react to the aesthetic designs of different humanoid robot models and the important traits in a humanoid robot design, such as the perceived smartness and friendliness of the robots. Another point of interest is to investigate the most prominent feature of the robot, such as the head, facial features and the chest. The result shows that the head and facial features are the focus. It is also discovered that more attention is paid to the robots that appear to be more appealing. Lastly, it is affirmed that the first impressions of the robots generally do not change over time, which may imply that a good humanoid robot design impress the observers at first sight.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Cyberworlds, CW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728122977
Publication statusPublished - 5 Dec 2019
Externally publishedYes
Event18th International Conference on Cyberworlds, CW 2019 - Kyoto, Japan
Duration: 2 Oct 20194 Oct 2019

Publication series

NameProceedings - 2019 International Conference on Cyberworlds, CW 2019


Conference18th International Conference on Cyberworlds, CW 2019


  • Design preference
  • EEG
  • Emotion recognition
  • Eye tracking
  • Workload recognition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Media Technology


Dive into the research topics of 'Detection of humanoid robot design preferences using EEG and eye tracker'. Together they form a unique fingerprint.

Cite this