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Mechanical genders

How Do Humans Gender Robots

Bibliographic Data

ID8077111
AuthorsRoger A Søraa (0000-0001-6800-0558, Department of Interdisciplinary Studies of Culture, Center for Technology and Society, Faculty of Humanities, NTNU Norwegian University of Science and Technology, Trondheim, Norway, corresponding author)
Year2017
Volume21
Issue1-2
Pages99-115
Publication date2017-05-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGender Technology and Development (JOURNAL)
Journal identifiersISSN: 0971-8524 • E-ISSN: 0973-0656
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/09718524.2017.1385320
OpenAlexW2781752134
LanguageEN
Citations received26
References cited36

This paper discusses the concept of ‘mechanical genders’ by using robots as a case. Different aspects of robotic gender, or the lack of it are described, showing how some robots have an ‘anything is fine’ gender, where the user decides what gender their robot should have. This is often seen with zoomorphic robots, i.e. animal-looking robots, which in a gender notion seem to be more gender-neutral than their android counterparts. The paper emphasizes how difficult it can be to not gender robots in a Western language context, where robots often need gendered pronouns if they are to be discussed, and shows comparatively how gender can be less important in the Japanese language. Additionally, heavily gendered robots are discussed, defining ‘mechanical genders’ as a concept used to speak about the genders of robots, and see this in relation to established human gender definitions. The paper discusses gender in robots such as Pepper, the robot twin ‘Matsukoroid’ (a trans-robot with his/her/its own TV-show), and sex-robots, as well as gender for cyborgs. The aim of the paper is to show how our mechanical species of robots are affected by the gendering habits of humans. It finds that the more humanlike a robot becomes, the more gendered it becomes

Context (archaeology · Database · Geography · Human–computer interaction · Relation (database · Robot · Computer Science · Japanese History and Culture · Psychology · Social Robot Interaction and HRI · Spatial and Cultural Studies · Artificial Intelligence

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Unique citing works26
Citations per year5,2
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 26

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