TY - GEN
T1 - Detection of humanoid robot design preferences using EEG and eye tracker
AU - Liu, Yisi
AU - Li, Fan
AU - Tang, Lin Hei
AU - Lan, Zirui
AU - Cui, Jian
AU - Sourina, Olga
AU - Chen, Chun Hsien
N1 - Funding Information:
This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its International Research Centres in Singapore Funding Initiative.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12/5
Y1 - 2019/12/5
N2 - 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.
AB - 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.
KW - Design preference
KW - EEG
KW - Emotion recognition
KW - Eye tracking
KW - Workload recognition
UR - http://www.scopus.com/inward/record.url?scp=85077129196&partnerID=8YFLogxK
U2 - 10.1109/CW.2019.00044
DO - 10.1109/CW.2019.00044
M3 - Conference article published in proceeding or book
AN - SCOPUS:85077129196
T3 - Proceedings - 2019 International Conference on Cyberworlds, CW 2019
SP - 219
EP - 224
BT - Proceedings - 2019 International Conference on Cyberworlds, CW 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Conference on Cyberworlds, CW 2019
Y2 - 2 October 2019 through 4 October 2019
ER -