Reconceptualizing Team Identification: New Dimensions and Their Relationship to Intergroup Bias.

2005 ◽  
Vol 9 (2) ◽  
pp. 75-86 ◽  
Author(s):  
James A. Dimmock ◽  
J. Robert Grove ◽  
Robert C. Eklund
2020 ◽  
Author(s):  
Dorina de Jong ◽  
Ruud Hortensius ◽  
Te-Yi Hsieh ◽  
Emily S. Cross

Intergroup dynamics shape the ways in which we interact with other people. We feel more empathy towards ingroup members compared to outgroup members, and can even feel pleasure when an outgroup member experiences misfortune, known as schadenfreude. Here, we test the extent to which these intergroup biases emerge during interactions with robots. We measured trial-by-trial fluctuations in emotional reactivity to the outcome of a competitive reaction time game to assess both empathy and schadenfreude in arbitrary human-human and human-robot teams. Across four experiments (total n = 361), we observed a consistent empathy and schadenfreude bias driven by team membership. People felt more empathy towards ingroup members than outgroup members and more schadenfreude towards outgroup members. The existence of an intergroup bias did not depend on the nature of the agent: the same effects were observed for human-human and human–robot teams. People reported similar levels of empathy and schadenfreude towards a human and robot player. The human likeness of the robot did not consistently influence this intergroup bias, however, similar empathy and schadenfreude biases were observed for both humanoid and mechanical robots. For all teams, this bias was influenced by the level of team identification; individuals who identified more with their team showed stronger intergroup empathy and schadenfreude bias. Together, we show that similar intergroup dynamics that shape our interactions with people can also shape interactions with robots. Our results highlight the importance of taking intergroup biases into account when examining social dynamics of human-robot interactions.


2008 ◽  
Author(s):  
Andrew Scott Baron ◽  
Yarrow Dunham ◽  
Mahzarin Banaji
Keyword(s):  

2014 ◽  
Author(s):  
Regis Caprara ◽  
Kerry Kawakami ◽  
Amanda Williams ◽  
Derek Chung ◽  
Rebecca Vendittelli ◽  
...  

2014 ◽  
Author(s):  
Carlee Beth Hawkins ◽  
Mariah Sinden ◽  
Brian A. Nosek

2019 ◽  
Vol 28 (4) ◽  
pp. 195-208
Author(s):  
Katherine Reifurth ◽  
Matthew Bernthal ◽  
Khalid Ballouli ◽  
Dorothy Collins

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 84
Author(s):  
Chiara Imperato ◽  
Tiziana Mancini

The effects of intergroup dialogues on intercultural relations in digital societies and the growing conflict, inflammatory and hate speech phenomena characterizing these environments are receiving increasing attention in socio-psychological studies. Based on Allport’s contact theory, scholars have shown that online intercultural contact reduces ethnic prejudice and discrimination, although it is not yet clear when and how this occurs. By analyzing the role of the Dialogical Self in online intercultural dialogues, we aim to understand how individuals position themselves and others at three levels of inclusiveness—personal, social, and human—and how this process is associated with attitudes towards the interlocutor, intergroup bias and prejudice, whilst also considering the inclusion of the Other in the Self and ethnic/racial identity. An experimental procedure was administered via the Qualtrics platform, and data were collected among 118 undergraduate Italian students through an anonymous questionnaire. From ANOVA and moderation analysis, it emerged that the social level of inclusiveness was positively associated with ethnic/racial identity and intergroup bias. Furthermore, the human level of inclusiveness was associated with the inclusion of the Other in the Self and ethnic/racial identity, and unexpectedly, also with intergroup bias. We conclude that when people interact online as “human beings”, the positive effect of online dialogue fails, hindering the differentiation processes necessary to define one’s own and the interlocutor’s identities. We discuss the effects of intercultural dialogue in the landscape of digital societies and the relevance of our findings for theory, research and practice.


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