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Robotics 2018, 7(3), 50; https://doi.org/10.3390/robotics7030050

She’s Electric—The Influence of Body Proportions on Perceived Gender of Robots across Cultures

1
School of International Liberal Studies, Waseda University, 11-1430, 1-6-1 Nishi-Waseda, Shinjuku-ku, Tokyo 169-8050, Japan
2
Pontificia Universidad Católica del Perú, Lima 32, Peru
This paper is an extended version of Trovato, G.; Lucho, C.; Eyssel, F.; Bernotat, J. The Influence of Body Proportions on Perceived Gender of Robots in Latin America. In Proceedings of the Third International Conference on Love and Sex with Robots, LSR 2017, London, UK, 19–20 December 2017.
*
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Received: 15 August 2018 / Revised: 3 September 2018 / Accepted: 3 September 2018 / Published: 5 September 2018
(This article belongs to the Special Issue Love and Sex with Robot)
Full-Text   |   PDF [1176 KB, uploaded 5 September 2018]   |  

Abstract

The assignment of gender to robots is a debatable topic. Subtle aspects related to gender, in a robot’s appearance, may create biased expectations of the robot’s abilities and influence user acceptance. The present research is a cross-cultural study involving more than 150 participants to investigate the perception of gender in robot design by manipulating body proportions. We are focusing specifically on the contrast between two extremely different cultures: Peruvian and Japanese. From the survey based on stimuli varying in the proportion between chest, waist, and hips, the results indicate the importance of chest-to-hip ratio and waist-to-hip ratio in the attribution of gender to robots. View Full-Text
Keywords: robot design; humanoid robots; gender robot design; humanoid robots; gender
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Trovato, G.; Lucho, C.; Paredes, R. She’s Electric—The Influence of Body Proportions on Perceived Gender of Robots across Cultures. Robotics 2018, 7, 50.

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