Social categorization of social robots: anthropomorphism as a function of robot group membership.
By Friederike A. Eyssel, Dieta Kuchenbrandt. British Journal of Social Psychology, 2012
327 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/db6d367f43ec2b92439aa0922cc00367f8c9bef1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Elizabeth Broadbent
- Urška Tuškej
- Diane Proudfoot
- Christoph Bartneck
- Frank Hegel
- Jakub Złotowski
- Friederike A. Eyssel
- Rachel L. Severson
In Experimental and Cognitive Psychology
- Elizabeth Broadbent
- Urška Tuškej
- Christoph Bartneck
- Frank Hegel
- Friederike A. Eyssel
- Daniel Belanche
- Luis Vicente Casaló
- Steven J. Stroessner
In Social Psychology
- Elizabeth Broadbent
- Daniel Belanche
- Luis Vicente Casaló
- Carlos Flavián
- Jeroen J. L. Schepers
- Urška Tuškej
- Diane Proudfoot
- Christoph Bartneck
Citations in the corpus
- Kids See Human Too: Adapting an Individual Differences Measure of Anthropomorphism for a Child Sample (2016, background): “Even the act of naming, as illustrated in the example of Bertha, can be a salient cue leading to anthropomorphic attributions (Eyssel & Kuchenbrandt, 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 appear to apply gender categories and respective stereotypes to humanoid robots depending on whether their hairstyle implies a female or male gender identity [6].”
- Examining the effects of robots' physical appearance, warmth, and competence in frontline services: The Humanness‐Value‐Loyalty model (2021, unknown): “The model builds on social categorization theory (Eyssel & Kuchenbrandt, 2012; Fiske et al., 2002), which states that individuals use visual and behavioral social cues to categorize an unknown person in a desirable or undesirable category.”
- Interactions With Robots: The Truths We Reveal About Ourselves (2017, background): “In terms of racial prejudice, German participants rated a robot that had a German name and was described as having been developed in Germany as warmer and as having a better design and a greater capacity to experience the world than an identical robot that had been given a Turkish name and was descr”
- ‘If you sound like me, you must be more human’: On the interplay of robot and user features on human-robot acceptance and anthropomorphism (2012, methodology): “Moreover, we took into account user gender and tested effects of these factors on human robot acceptance, psychological closeness and psychological anthropomorphism.”
- Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction (2014, background): “Previous work in HRI shows that people can perceive robots as either ingroup or outgroup members [57] and even apply racial prejudice towards them [58].”
- Service robot implementation: a theoretical framework and research agenda (2019, background): “That is, humans likely apply social categorization rules to robots and exhibit in-group favorability (Eyssel & Kuchenbrandt, 2012; Makatchev et al., 2013).”
- Consumers’ identification with corporate brands: Brand prestige, anthropomorphism and engagement in social media (2017, background): “, 2010a), computers, robots and other technical objects (Gong, 2008; Eyssel and Kuchenbrandt, 2012), as well as companies (Podnar and Melewar, 2010; Stinnett et al.”