The present study was aimed at determining the age and gender distribution of the humanoid robots in the ABOT dataset, and providing a systematic data-driven formalization of the process of age and gender categorizati...
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ISBN:
(数字)9781665407311
ISBN:
(纸本)9781665407311
The present study was aimed at determining the age and gender distribution of the humanoid robots in the ABOT dataset, and providing a systematic data-driven formalization of the process of age and gender categorization of humanoid robots. We involved 153 participants in an online study and asked them to rate the humanoid robots in the ABOT dataset in terms of perceived age, femininity, masculinity, and gender neutrality. Our analyses disclosed that most of the robots in the ABOT dataset were perceived as young adults, and the vast majority of them were attributed a neutral or masculine gender. By merging our data with the data in the ABOT dataset, we discovered that humanlikeness is crucial to elicit social categorization. Moreover, we found out that body manipulators (e.g., legs, torso) guide the attribution of masculinity, surface look features (e.g., eyelashes, apparel) the attribution of femininity, and that robots without facial features (e.g., head, eyes) are perceived as older. Finally, yet importantly, we unveiled that men tend to attribute lower age scores and higher femininity ratings to humanoid robots than women. Our work provides evidence of an existing underlying bias in the design of humanoid robots that needs to be addressed: the under-representation of feminine robots and lack of representation of androgynous ones. We make the results of this study publicly available to the HRI community by attaching the dataset we collected to the present paper and creating a dedicated website.
In this study, we employed Furhat to investigate how people attribute gender to a robot and whether the attribution of gender might elicit stereotypes already at a first impression. We involved 223 participants in an ...
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ISBN:
(纸本)9783030905255;9783030905248
In this study, we employed Furhat to investigate how people attribute gender to a robot and whether the attribution of gender might elicit stereotypes already at a first impression. We involved 223 participants in an online study and asked them to rate 15 of Furhat's predefined faces in terms of femininity, masculinity, communion, and agency, and identify which facial cues they based their attribution of gender upon. Our results show that Furhat's predefined faces are attributed the same gender predicted by their names, except for one face which was perceived as androgynous. They disclose that feminine robots are perceived as less agentic than masculine robots already at a first impression, and reveal that vocal cues have higher relevance than facial cues in determining the gender attributed to a robot. Besides providing a complete account of the genderedness of Furhat's predefined faces, the present study also raises awareness of the importance of gender in the design of robots and provides a starting point to design more inclusive robotic technologies.
This paper introduces the design and development of a modular robotic arm with four degrees of freedom (DoF) intended for implementation in educational environments as an interactive robotics tool for teaching the Bra...
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ISBN:
(纸本)9798350316599
This paper introduces the design and development of a modular robotic arm with four degrees of freedom (DoF) intended for implementation in educational environments as an interactive robotics tool for teaching the Braille system. This project arose from the need for inclusive and accessible education, using robotics to bring Braille to a broader audience and encourage collaborative learning. Integrating direct and inverse kinematics, as well as dynamics and a cubic spline interpolator, ensures accurate and efficient movements. Additionally, a neural network model was developed and trained to calculate the kinematic inverse of the robotic arm, demonstrating a high level of accuracy and reliability in solving the kinematic inverse problem. The last link is modular, which allows switching between a writing tool to teach the Braille alphabet to people with normal visual acuity, a gripper, and a holding mechanism that will allow didactically placing different pieces to form any letter of the alphabet in Braille, as well as other classroom uses.
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