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Gender is increasingly being explored as a social characteristic ascribed to robots by people. Yet, research involving social robots that may be gendered tends not to address gender perceptions, such as through pilot studies or manipulation…

人机交互 · 计算机科学 2022-05-03 Katie Seaborn , Peter Pennefather , Haruki Kotani

Perceptions of gender are a significant aspect of human-human interaction, and gender has wide-reaching social implications for robots deployed in contexts where they are expected to interact with humans. This work explored two flexible…

机器人学 · 计算机科学 2024-12-23 Nathaniel S. Dennler , Mina Kian , Stefanos Nikolaidis , Maja Matarić

Gender is a social framework through which people organize themselves-and non-human subjects, including robots. Research stretching back decades has found evidence that people tend to gender artificial agents unwittingly, even with the…

机器人学 · 计算机科学 2022-05-03 Katie Seaborn , Peter Pennefather

Previous research found that robots should best be designed to fit their given task, whilst others identified gender effects in people's evaluations of robots. This study combines this knowledge to investigate stereotyping effects of robot…

机器人学 · 计算机科学 2021-04-14 Sven Y. Neuteboom , Maartje M. A. de Graaf

Here, I ask what we can learn about how gender affects how people engage with robots. I review 46 empirical studies of social robots, published 2018 or earlier, which report on the gender of their participants or the perceived or intended…

机器人学 · 计算机科学 2022-07-04 David Gray Widder

Gender is a primary characteristic by which people organize themselves. Previous research has shown that people tend to unknowingly ascribe gender to robots based on features of their embodiment. Yet, robots are not necessarily ascribed the…

人机交互 · 计算机科学 2022-05-03 Katie Seaborn , Peter Pennefather

A robot's appearance is a known factor influencing user's mental model and human-robot interaction, that has not been studied in the context of its influence in expected robot explanations. In this study, we investigate whether and to what…

机器人学 · 计算机科学 2025-12-15 Hana Kopecka , Jose Such

We humans are biased - and our robotic creations are biased, too. Bias is a natural phenomenon that drives our perceptions and behavior, including when it comes to socially expressive robots that have humanlike features. Recognizing that we…

机器人学 · 计算机科学 2024-12-18 Katie Seaborn

The discussion around the problematic practice of gendering humanoid robots has risen to the foreground in the last few years. To lay the basis for a thorough understanding of how robot's "gender" has been understood within the Human-Robot…

机器人学 · 计算机科学 2023-04-28 Giulia Perugia , Dominika Lisy

Application of humanoid robots has been common in the field of healthcare and education. It has been recurrently used to improve social behavior and mollify distress level among children with autism, cancer and cerebral palsy. This article…

机器人学 · 计算机科学 2019-04-09 Avishek Choudhury , Huiyang Li , Christopher Greene , Sunanda Perumalla

Technology companies have produced varied responses to concerns about the effects of the design of their conversational AI systems. Some have claimed that their voice assistants are in fact not gendered or human-like -- despite design…

人工智能 · 计算机科学 2021-06-07 Gavin Abercrombie , Amanda Cercas Curry , Mugdha Pandya , Verena Rieser

The influence of individual differences on the perception and evaluation of interactions with robots has been researched for decades. Some human demographic characteristics have been shown to affect how individuals perceive interactions…

机器人学 · 计算机科学 2024-09-10 Damian Hostettler

Purpose of Review: The field of humanoid robotics, perception plays a fundamental role in enabling robots to interact seamlessly with humans and their surroundings, leading to improved safety, efficiency, and user experience. This…

机器人学 · 计算机科学 2023-09-28 Arindam Roychoudhury , Shahram Khorshidi , Subham Agrawal , Maren Bennewitz

The rapid development of social robots has challenged robotics and cognitive sciences to understand humans' perception of the appearance of robots. In this study, robot-associated words spontaneously generated by humans were analyzed to…

机器人学 · 计算机科学 2023-08-08 Bing Li , Oumayma Ajjaji , Robin Gigandet , Tatjana Nazir

Unprecedented possibilities of quadruped robots have driven much research on the technical aspects of these robots. However, the social perception and acceptability of quadruped robots so far remain poorly understood. This work investigates…

机器人学 · 计算机科学 2024-03-11 Nanami Hashimoto , Emma Hagens , Arkady Zgonnikov , Maria Luce Lupetti

As different research works report and daily life experiences confirm, learning models can result in biased outcomes. The biased learned models usually replicate historical discrimination in society and typically negatively affect the less…

机器人学 · 计算机科学 2022-01-27 Juana Valeria Hurtado , Valentina Mejia

As artificial agents increasingly integrate into professional environments, fundamental questions have emerged about how societal biases influence human-robot selection decisions. We conducted two comprehensive experiments (N = 1,038)…

机器人学 · 计算机科学 2026-01-21 Jiangen He , Wanqi Zhang , Jessica Barfield

As robots become increasingly integrated into daily life, understanding responses to robot mistreatment carries important ethical and design implications. This mixed-methods study (N = 201) examined how anthropomorphic levels and moral…

机器人学 · 计算机科学 2026-01-28 Fan Yang , Renkai Ma , Yaxin Hu , Lingyao Li

Robots capable of participating in complex social interactions have shown great potential in a variety of applications. As these robots grow more popular, it is essential to continuously evaluate the dynamics of the human-robot…

机器人学 · 计算机科学 2018-07-04 Tobi Ogunyale , De'Aira Bryant , Ayanna Howard

Gender/ing guides how we view ourselves, the world around us, and each other--including non-humans. Critical voices have raised the alarm about stereotyped gendering in the design of socially embodied artificial agents like voice…

机器人学 · 计算机科学 2022-12-09 Katie Seaborn , Alexa Frank
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