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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…

Human-Computer Interaction · Computer Science 2022-05-03 Katie Seaborn , Peter Pennefather , Haruki Kotani

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…

Robotics · Computer Science 2022-12-09 Katie Seaborn , Alexa Frank

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…

Robotics · Computer Science 2021-04-14 Sven Y. Neuteboom , Maartje M. A. de Graaf

Information access research (and development) sometimes makes use of gender, whether to report on the demographics of participants in a user study, as inputs to personalized results or recommendations, or to make systems gender-fair,…

Information Retrieval · Computer Science 2023-01-18 Christine Pinney , Amifa Raj , Alex Hanna , Michael D. Ekstrand

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…

Robotics · Computer Science 2022-05-03 Katie Seaborn , Peter Pennefather

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…

Robotics · Computer Science 2024-12-23 Nathaniel S. Dennler , Mina Kian , Stefanos Nikolaidis , Maja Matarić

Automatic Gender Recognition (AGR) systems are an increasingly widespread application in the Machine Learning (ML) landscape. While these systems are typically understood as detecting gender, they often classify datapoints based on…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Camilla Quaresmini , Giacomo Zanotti

The mental models that humans form of other agents---encapsulating human beliefs about agent goals, intentions, capabilities, and more---create an underlying basis for interaction. These mental models have the potential to affect both the…

Robotics · Computer Science 2020-01-07 Connor Brooks , Daniel Szafir

Chatbots are popular machine partners for task-oriented and social interactions. Human-human computer-mediated communication research has explored how people express their gender and sexuality in online social interactions, but little is…

Human-Computer Interaction · Computer Science 2021-06-07 Justin Edwards , Leigh Clark , Allison Perrone

Recent research on human robot interaction explored whether people's tendency to conform to others extends to artificial agents (Hertz & Wiese, 2016). However, little is known about to what extent perception of a robot as having a mind…

Robotics · Computer Science 2018-11-05 Deniz Lefkeli , Baris Akgun , Sahibzada Omar , Aansa Malik , Zeynep Gurhan Canli , Terry Eskenazi

With the rise of human-machine communication, machines are increasingly designed with humanlike characteristics, such as gender, which can inadvertently trigger cognitive biases. Many conversational agents (CAs), such as voice assistants…

Human-Computer Interaction · Computer Science 2024-01-09 Weizi Liu

For machine agents to successfully interact with humans in real-world settings, they will need to develop an understanding of human mental life. Intuitive psychology, the ability to reason about hidden mental variables that drive observable…

Most AI agents remain confined to an instrumental "command-execution" model, resulting in unequal, one-sided interactions. While recent works attempt to build relationships through hidden memory backends, these invisible processes often…

Human-Computer Interaction · Computer Science 2026-03-24 Zihong He , Shuqin Wang , Songchen Zhou , Qinghui Lin , Jialin Wang , Chen Liang , Hai-Ning Liang

This paper introduces two ongoing research projects which seek to apply computer modelling techniques in order to simulate human behaviour within organisations. Previous research in other disciplines has suggested that complex social…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Helen Celia , Christopher Clegg , Mark Robinson , Peer-Olaf Siebers , Uwe Aickelin , Christine Sprigg

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…

Human-Computer Interaction · Computer Science 2022-05-03 Katie Seaborn , Peter Pennefather

Gender contains a wide range of information regarding to the characteristics difference between male and female. Successful gender recognition is essential and critical for many applications in the commercial domains such as applications of…

Artificial Intelligence · Computer Science 2016-03-17 Yingxiao Wu , Yan Zhuang , Xi Long , Feng Lin , Wenyao Xu

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…

Robotics · Computer Science 2022-07-04 David Gray Widder

Animations have become increasingly realistic with the evolution of Computer Graphics (CG). In particular, human models and behaviors were represented through animated virtual humans, sometimes with a high level of realism. In particular,…

Human-Computer Interaction · Computer Science 2022-08-05 V. Araujo , D. Schaffer , A. B. Costa , S. R. Musse

Multi-agent models are a suitable starting point to model complex social interactions. However, as the complexity of the systems increase, we argue that novel modeling approaches are needed that can deal with inter-dependencies at different…

Artificial Intelligence · Computer Science 2018-09-25 Frank Dignum

Existing approaches for generating human-aware agent behaviors have considered different measures of interpretability in isolation. Further, these measures have been studied under differing assumptions, thus precluding the possibility of…

Artificial Intelligence · Computer Science 2021-04-23 Sarath Sreedharan , Anagha Kulkarni , David E. Smith , Subbarao Kambhampati
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