The Influence of Body Proportions on Perceived Gender of Robots in Latin America

Gabriele Trovato, Cesar Lucho, Friederike Eyssel, Jasmin Bernotat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Subtle aspects of a robot’s appearance may create biased expectations of the robot’s abilities, which may influence user acceptance. The present research investigated the perception of gender in robot design, focusing specifically on the proportion between chest, waist, and hips to indicate robot gender. We did so by conducting an online survey in Latin American context. The results highlight the importance of chest-to-hip ratio and waist-to-hip ratio in gender attribution and mind attribution to robots.

Original languageEnglish
Title of host publicationLove and Sex with Robots - 3rd International Conference, LSR 2017, Revised Selected Papers
PublisherSpringer-Verlag
Pages158-168
Number of pages11
ISBN (Print)9783319763682
DOIs
Publication statusPublished - 2018 Jan 1
Event3rd International Conference on Love and Sex with Robots, LSR 2017 - London, United Kingdom
Duration: 2017 Dec 192017 Dec 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10715 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Love and Sex with Robots, LSR 2017
CountryUnited Kingdom
CityLondon
Period17/12/1917/12/20

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Keywords

  • Gender
  • Humanoid robots
  • Robot design

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Trovato, G., Lucho, C., Eyssel, F., & Bernotat, J. (2018). The Influence of Body Proportions on Perceived Gender of Robots in Latin America. In Love and Sex with Robots - 3rd International Conference, LSR 2017, Revised Selected Papers (pp. 158-168). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10715 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-319-76369-9_12