TY - GEN
T1 - Attention Distribution and Decision-Making in the Process of Robot’s Appearance Design and Selection
AU - Khoo, Nicholas Hong Li
AU - Li, Fan
AU - Chen, Chun Hsien
AU - Liu, Yisi
AU - Trapsilawati, Fitri
AU - Sourina, Olga
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/6/16
Y1 - 2022/6/16
N2 - Humanoid robots gaining popularity in the service industry all over the world. When designing humanoid robots, product designers put additional thought into the aesthetic design to avoid the complications that arise from the “uncanny valley”. It has long been found that genders, personalities, and cultural upbringings may affect individual ratings on the appearance of humanoid robots. To better aid and hasten the appearance design and selection process, this report explores the use of Electroencephalography (EEG) and vision tracking devices to evaluate preferences based on “aesthetic” criteria of robot designs. Based on the analysis, it was found that individuals, regardless of the three traits, paid more attention to their top choices during the selection. In rating the robots’ appearance, it was also found that Eastern students rated a significantly higher score of “intelligence” than Western students. However, both eastern and western students have a similar choice of their favorite robots.
AB - Humanoid robots gaining popularity in the service industry all over the world. When designing humanoid robots, product designers put additional thought into the aesthetic design to avoid the complications that arise from the “uncanny valley”. It has long been found that genders, personalities, and cultural upbringings may affect individual ratings on the appearance of humanoid robots. To better aid and hasten the appearance design and selection process, this report explores the use of Electroencephalography (EEG) and vision tracking devices to evaluate preferences based on “aesthetic” criteria of robot designs. Based on the analysis, it was found that individuals, regardless of the three traits, paid more attention to their top choices during the selection. In rating the robots’ appearance, it was also found that Eastern students rated a significantly higher score of “intelligence” than Western students. However, both eastern and western students have a similar choice of their favorite robots.
KW - Electroencephalography
KW - Eye-tracking
KW - Preference
KW - Robots appearance design
UR - http://www.scopus.com/inward/record.url?scp=85133198291&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06053-3_36
DO - 10.1007/978-3-031-06053-3_36
M3 - Conference article published in proceeding or book
AN - SCOPUS:85133198291
SN - 9783031060526
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 535
EP - 544
BT - Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
A2 - Rau, Pei-Luen Patrick
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Cross-Cultural Design, CCD 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -