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

Gabriele Trovato; Cesar Lucho; Friederike Eyssel; Jasmin Bernotat

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

Gabriele Trovato
, Cesar Lucho
, Friederike Eyssel
, Jasmin Bernotat

Waseda University
Pontificia Universidad Católica del Perú
Universität Bielefeld

Research output: Book/Report › Book › peer-review

4 Scopus citations

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 language	Spanish
State	Published - 1 Jan 2018

Cite this

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title = "The Influence of Body Proportions on Perceived Gender of Robots in Latin America",

abstract = "Subtle aspects of a robot{\textquoteright}s appearance may create biased expectations of the robot{\textquoteright}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.",

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AB - 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.

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