Do Robots Need to Be Stereotyped? Technical Characteristics as a Moderator of Gender Stereotyping
Florian Dufour and
Céline Ehrwein Nihan
Additional contact information
Florian Dufour: Interdisciplinary Institute of Business Development, School of Engineering and Management Vaud (HEIG-VD), University of Applied Sciences of Western Switzerland (HES-SO), Avenue des Sports, 20, 1401 Yverdon-les-Bains, Switzerland
Céline Ehrwein Nihan: Interdisciplinary Institute of Business Development, School of Engineering and Management Vaud (HEIG-VD), University of Applied Sciences of Western Switzerland (HES-SO), Avenue des Sports, 20, 1401 Yverdon-les-Bains, Switzerland
Social Sciences, 2016, vol. 5, issue 3, 1-9
Abstract:
As suggested by previous results, whether, when designing robots, we should make use of social stereotypes and thus perpetuate them is question of present concern. The aim of this study was the identification of the specific conditions under which people’s judgments of robots were no longer guided by stereotypes. The study participants were 121 individuals between 18 and 69 years of age. We used an experimental design and manipulated the gender and strength of robots, and we measured the perception of how a robot could be used in automotive mechanics for light and heavy tasks. Results show that the technical characteristics of robots helped to anchor people’s judgments on robots’ intrinsic characteristics rather than on stereotypical indicators. Thus, stereotype perpetuation does not seem to be the sole option when designing robots.
Keywords: stereotype; gender; social robots; experiment (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2076-0760/5/3/27/pdf (application/pdf)
https://www.mdpi.com/2076-0760/5/3/27/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:5:y:2016:i:3:p:27-:d:72677
Access Statistics for this article
Social Sciences is currently edited by Ms. Yvonne Chu
More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().