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From “Made In” to Mukokuseki

Exploring the Visual Perception of National Identity in Robots

Bibliographic Data

ID22190812
AuthorsKatie Seaborn (0000-0002-7812-9096, Tokyo Institute of Technology), Haruki Kotani (0009-0008-6177-0267, Tokyo Institute of Technology), Peter Pennefather (0000-0002-2953-8977, General Dynamics (Canada))
Year2025
Volume14
Issue1
Pages1-21
Publication date2025-03-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueACM Transactions on Human-Robot Interaction (JOURNAL)
Journal identifiersISSN: 2573-9522 • E-ISSN: 2573-9522
PublisherAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3681782
OpenAlexW4401952371
LanguageEN
Citations received1
References cited45

People read human characteristics into the design of social robots, a visual process with socio-cultural implications. One factor may be nationality, a complex social characteristic that is linked to ethnicity, culture, and other factors of identity that can be embedded in the visual design of robots. Guided by social identity theory (SIT), we explored the notion of “mukokuseki,” a visual design characteristic defined by the absence of visual cues to national and ethnic identity in Japanese cultural exports. In a two-phase categorization study ( \(n=212\) ), American ( \(n=110\) ) and Japanese ( \(n=92\) ) participants rated a random selection of nine robot stimuli from America and Japan, plus multinational Pepper. We found evidence of made-in and two kinds of mukokuseki effects. We offer suggestions for the visual design of mukokuseki robots that may interact with people from diverse backgrounds. Our findings have implications for robots and social identity, the viability of robotic exports, and the use of robots internationally

Aesthetics · Art · Human–computer interaction · Perception · Robot · Visual arts · Communication · Computer Science · Japanese History and Culture · Psychology · Social Robot Interaction and HRI · Artificial Intelligence

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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