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  4. Attention Distribution and Decision-Making in the Process of Robot’s Appearance Design and Selection
 
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2022
Conference Paper
Title

Attention Distribution and Decision-Making in the Process of Robot’s Appearance Design and Selection

Abstract
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.
Author(s)
Khoo, N.H.L.
Seoul National University, School of Mechanical and Aerospace Engineering  
Li, F.
Hong Kong Polytechnic University  
Chen, C.-H.
Seoul National University, School of Mechanical and Aerospace Engineering  
Liu, Y.
Singapore Polytechnic
Trapsilawati, F.
Universitas Gadjah Mada, Yogyakarta
Sourina, Olga
Fraunhofer Singapore  
Mainwork
Cross-cultural design. 14th International Conference, CCD 2022. Part 4: Product and service design, mobility and automotive design, cities, urban areas, and intelligent environments design  
Conference
International Conference on Cross-Cultural Design 2022  
International Conference on Human-Computer Interaction (HCI International) 2022  
DOI
10.1007/978-3-031-06053-3_36
Language
English
Fraunhofer Singapore  
Keyword(s)
  • Electroencephalography

  • Eye-tracking

  • Preference

  • Robots appearance design

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