stereotype content
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Author(s):  
Emily Canton ◽  
Darren Hedley ◽  
Jennifer R Spoor

2021 ◽  
Author(s):  
Sarah Mandl ◽  
Maximilian Bretschneider ◽  
Stefanie Meyer ◽  
Dagmar Gesmann-Nuissl ◽  
Frank Asbrock ◽  
...  

New bionic technologies and robots are becoming increasingly common in work spaces and private spheres. It is thus crucial to understand concerns regarding their use in social and legal terms and the qualities they should possess to be accepted as ‘co-workers’. Previous research in these areas used the Stereotype Content Model (SCM) to investigate, for example attributions of warmth and competence towards people who use bionic prostheses, cyborgs, and robots. In the present study, we propose to differentiate the Warmth dimension into the dimensions Sociability and Morality to gain deeper insight in how people with or without bionic prostheses are perceived. In addition, we extend our research to the perception of robots, such as industrial, social, or android robots. Since legal aspects need to be considered if robots are expected to be ‘co-workers’, we also evaluated current perceptions of robots in terms of legal questions. We conducted two studies in which participants rated visual stimuli of individuals with or without disabilities and low- or high-tech prostheses, and robots of different levels of Anthropomorphism (Study 1), or robots of different levels of Anthropomorphism (Study 2), in terms of Competence, Sociability, and Morality, and, for Study 2, Legal Personality and Decision-Making Authority. We also controlled for participants’ personality. Results showed that attributions of Competence and Morality varied as a function of technical sophistication of the prostheses. For robots, competence attributions were negatively related to Anthropomorphism. Sociability, Morality, Legal Personality , and Decision-Making Authority varied as functions of Anthropomorphism. Overall, this study provides a contribution to technological design, which aims at ensuring high acceptance and minimal undesirable side effects, both with regard to the application of bionic instruments and robotics. Additionally, first insights in whether more anthropomorphized robots will need to be considered differently in terms of legal practice are given.


2021 ◽  
Vol 15 (2) ◽  
pp. 146-166
Author(s):  
Catherine T. Kwantes ◽  
Arief B. Kartolo

In the context of the workplace, and especially in today’s often fast-paced, cross-cultural and virtual work environment, a basic type of trust—“swift trust”—forms quickly based on cognitive processes and beliefs, or stereotypes, of another. Interpersonal trust is in large part based on these contextualized assessments of the extent to which another person is trustworthy. While trust across cultural boundaries has been examined, there is a lack of research investigating how trustworthiness is determined cross-culturally, especially with respect to what heuristics are used in the development of trust. The current project explored how trustworthiness is conceptualized and described for both colleagues and supervisors across 10 nations using the Stereotype Content Model. Qualitative descriptors of trustworthy supervisors and colleagues were coded based on the importance ascribed to warmth and competence, and these codes were used as the basis for cluster analyses to examine similarities and differences in descriptors of role-based trustworthiness. Both differences and similarities in the expectations of trustworthiness were found across the national samples. Some cultures emphasized both warmth and competence as equally important components to developing trustworthiness, some emphasized only warmth, while others emphasized only competence. Variations of trustworthiness stereotypes were found in all but two national samples based on role expectations for supervisors and colleagues. Data from the GLOBE project related to societal cultural practices and cultural leadership prototypes were drawn on to discuss findings.


2021 ◽  
pp. 003329412110581
Author(s):  
Isabel Cuadrado ◽  
Lucía López-Rodríguez ◽  
Marco Brambilla ◽  
Jorge L. Ordóñez-Carrasco

Stereotypes have important social consequences, such as promoting female discrimination in the workplace, which depends on how women are categorized. Extending prior work, here we analyze how two important female subgroups, women who are categorized as professional or sexy women, are evaluated on key dimensions of stereotype content (morality, sociability, and competence), positive and negative emotions, and facilitation behavioral tendencies (active and passive). To this end, we adapted a previous scale of facilitation tendencies to the working environment. Furthermore, we aim to explore the mechanism involved in carrying out helping behaviors towards each subgroup of women in the workplace. In order to fulfill these goals, 201 participants ( Mage = 28.88, SD = 12.25; 66.2% women) were randomly assigned to evaluate a woman categorized as either sexy or professional on the mentioned variables. Results show that women categorized as sexy are devalued compared to those categorized as professionals. We also found that competence has a driving role in predicting more active facilitation tendencies towards a woman categorized as professional than a woman categorized as sexy via positive emotions. These findings have implications for the career development of women.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 605-606
Author(s):  
Katelyn Frey ◽  
Michael Vale ◽  
Toni Bisconti

Abstract Younger adults have coined the popular retort “OK Boomer,” referring to the 76 million Baby Boomers born between 1946-1964. The Stereotype Content Model (SCM) is a framework used to assess stereotypical perceptions of various groups, and older adults generally fall in the paternalistic “high warmth/low competence” quadrant. The stereotypes behind “OK Boomer” could correspond to any of the four quadrants of the SCM. The present study's goals were to determine the parameters for using the phrase, how hostile and benevolent ageism may underlie its use, and whether or not the eponymous “Boomer” fits into the same cluster in the SCM as older adults in general. In a sample of 316 participants (18-33; M = 23; SD = 5.25), we found that age was related to using “OK Boomer” such that being younger is associated with feeling more comfortable using the phrase in front of anyone (r = -.208, p < .01), using the phrase more frequently (r = -.218, p < .01), and sharing “OK Boomer” memes, pictures, and jokes online (r = -.203, p < .01). Hostile ageism, but not benevolent, was associated with an increased likelihood of saying “OK Boomer” in front of anyone (r = .256, p < .01), to use it more frequently (r = .242, p < .01), and to share “OK Boomer” jokes online (r = .301, p < .01). Content analysis results indicate that “OK Boomer” does not correspond to the paternalistic quadrant of the SCM due to Boomers’ perceived low warmth.


2021 ◽  
Vol 11 (11) ◽  
pp. 158
Author(s):  
Daisuke Akiba ◽  
Ana Sofia Velazquez Lopez ◽  
Mari Hirano

Background. The current Coronavirus pandemic has been linked to a dramatic increase in anti-Asian American and Pacific Islander (AAPI) hate incidents in the United States. At the time of writing, there does not appear to be any published empirical research examining the mechanisms underlying Asiaphobia during the current pandemic. Based on the stereotype content model, we investigated the idea that ambivalent attitudes toward AAPIs, marked primarily with envy, may be contributing to anti-AAPI xenophobia. Methods. Study 1 (N = 140) explored, through a survey, the link between envious stereotypes toward AAPIs and Asiaphobia. Study 2 (N = 167), utilizing autobiographical recall tasks, experimentally induced the affect of envy in order to establish causality between feelings of envy toward AAPIs and Asiaphobia. Results. In Study 1, envious stereotypes toward AAPIs were found to be predictive of Asiaphobia and, in Study 2, the inducement of envy led to heightened levels of Asiaphobia. Conclusions. The current research provides support for the proposition that, consistent with the stereotype content model, stereotypes and attitudes toward AAPIs marked with ambivalent and envious views, consisting of a mix of perceived competence and lack of “human warmth,” may be fueling Asiaphobia. Implications for potential applications and future research are discussed.


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