Robots And Racism

Most robots currently being sold or developed are either stylized with white material or have a metallic appearance. In this research we used the shooter bias paradigm and several questionnaires to investigate if people automatically identify robots as being racialized, such that we might say that s...

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Vydáno v:2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 196 - 204
Hlavní autoři: Bartneck, Christoph, Yogeeswaran, Kumar, Ser, Qi Min, Woodward, Graeme, Sparrow, Robert, Wang, Siheng, Eyssel, Friederike
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 26.02.2018
Edice:ACM Conferences
Témata:
Atmospheric measurements
explicit
Human-centered computing > Human computer interaction (HCI) > Empirical studies in HCI
Human-centered computing > Human computer interaction (HCI) > HCI theory, concepts and models
Human-robot interaction
implicit
Particle measurements
prejudice
Psychology
racism
robot
Robots
shooter bias
explicit
robot
prejudice
implicit
racism
shooter bias
ISBN:9781450349536, 1450349536
ISSN:2167-2148
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Popis
Shrnutí:Most robots currently being sold or developed are either stylized with white material or have a metallic appearance. In this research we used the shooter bias paradigm and several questionnaires to investigate if people automatically identify robots as being racialized, such that we might say that some robots are 'White' while others are 'Asian', or 'Black'. To do so, we conducted an extended replication of the classic social psychological shooter bias paradigm using robot stimuli to explore whether effects known from human-human intergroup experiments would generalize to robots that were racialized as Black and White. Reaction-time based measures revealed that participants demonstrated 'shooter-bias' toward both Black people and robot racialized as Black. Participants were also willing to attribute a race to the robots depending on their racialization and demonstrated a high degree of inter-subject agreement when it came to these attributions.
ISBN:9781450349536
1450349536
ISSN:2167-2148
DOI:10.1145/3171221.3171260