Volltext herunterladen
(749.4 KB)
Zitationshinweis
Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-98417-7
Export für Ihre Literaturverwaltung
The Robot-Gender Divide: How and Why Men and Women Differ in Their Attitudes Toward Social Robots
[Zeitschriftenartikel]
Abstract Recent developments foretell that social robots will soon become an integral part of everyday life, offering companionship and intimate closeness of different kinds. While research thus far is limited in scope and data, the current research offers two studies into how and why gender affects social r... mehr
Recent developments foretell that social robots will soon become an integral part of everyday life, offering companionship and intimate closeness of different kinds. While research thus far is limited in scope and data, the current research offers two studies into how and why gender affects social robots' acceptance among European and American participants. Study 1 (N = 26,344) is used to identify overall patterns, while Study 2 (N = 426), divided into quantitative and qualitative analyses, is used to investigate specific differences in accepting four types of robots: helpers, companions, lovers, and sex partners. Results show that women have significantly less positive attitudes toward social robots as lovers and sex partners than men. The qualitative analyses of Study 2 show that this is due to women seeing such robots more negatively in terms of social norms, psychological health, morality, and functionality. The study further offers an axis system, on which attitudes toward robots can be theorized and examined.... weniger
Thesaurusschlagwörter
Roboter; Mensch-Maschine-System; Akzeptanz; geschlechtsspezifische Faktoren; Intimität; soziale Norm
Klassifikation
Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie
Freie Schlagwörter
social robots; companionship; human-machine communication; Eurobarometer 87.1 (2017) (ZA6861 v2.0.0, doi:10.4232/1.13738)
Sprache Dokument
Englisch
Publikationsjahr
2023
Seitenangabe
S. 2230-2248
Zeitschriftentitel
Social Science Computer Review, 41 (2023) 6
DOI
https://doi.org/10.1177/08944393231155674
ISSN
1552-8286
Status
Veröffentlichungsversion; begutachtet (peer reviewed)