(S)he's Got the Look: Gender Stereotyping of Robots1

By Friederike A. Eyssel, Frank Hegel. 2012

500 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/f6182de19971f0dc945ff415e7b940c2edb0906a

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In Experimental and Cognitive Psychology

In Social Psychology

Citations in the corpus

It Sounds Like A Woman: Exploring Gender Stereotypes in South Korean Voice Assistants (2019, background): “Eyssel and Hegel [2] have found that people tend to perceive male robot as agentic while female robot as communal.”
Domo Arigato Mr. Roboto (2017, background): “For example, in investigating how a robot’s facial gender cues influence human inferences about it, Eyssel and Hegel (2012) find that a short-haired, male robot is perceived as more agentic than a long-haired, female robot, whereas the female robot is perceived as more communal.”
Interactions With Robots: The Truths We Reveal About Ourselves (2017, background): “…hair and flat lips was rated less feminine and more suitable for typically male tasks (e.g., technical work) than an otherwise-identical robot with long hair and shapely lips, which was rated more feminine and more suitable for typically female tasks (e.g., child rearing) (Eyssel & Hegel 2012).”
When stereotypes meet robots: The double-edge sword of robot gender and personality in human-robot interaction (2014, background): “However, this stereotyping is not well colligated with occupational role stereotypes (Eyssel & Hegel, 2012; Eyssel & Kuchenbrandt, 2012; Powers et al., 2005).”
The Robotic Social Attributes Scale (RoSAS): Development and Validation (2017, background): “People often feel close to and more strongly anthropomorphize same-gender robots compared to opposite gender robots [7].”
Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot (2018, background): “The tendency for individuals to judge and react to computers as they do to other people has been observed across di ﬀ erent kinds of computerized agents, from embodied conversational agents to robots and text-only chatbots (Eyssel & Hegel, 2012; Krämer et al., 2012; Reeves & Nass, 1996).”
To Err Is Human(-oid): How Do Consumers React to Robot Service Failure and Recovery? (2020, background): “For example, Eyssel and Hegel (2012) found that people perceive male robots as more agentic and intelligent than female robots, while they view female robot as more communal and sociable.”
Artificial intelligence and communication: A Human–Machine Communication research agenda (2019, background): “Research has shown that elements of technology design, such as voice, elicit human-like responses toward devices (Nass and Brave, 2005), as do anthropomorphic cues, including gender (Eyssel and Hegel, 2012).”