Difference between revisions of "DeRijk2024"

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(Created page with "{{BibEntry |BibType=ARTICLE |Author(s)=Lynn de Rijk; Mieke Breukelman; Evi Dalmaijer; Wyke Stommel; |Title=‘This uh. . . young lady young gentleman’: Gender attributio...")
 
 
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|Author(s)=Lynn de Rijk; Mieke Breukelman; Evi Dalmaijer; Wyke Stommel;
 
|Author(s)=Lynn de Rijk; Mieke Breukelman; Evi Dalmaijer; Wyke Stommel;
 
|Title=‘This uh. . . young lady young gentleman’: Gender attribution in the context of a gender-ambiguous robot
 
|Title=‘This uh. . . young lady young gentleman’: Gender attribution in the context of a gender-ambiguous robot
|Tag(s)=EMCA; AI Reference List; Robots; Gender; In press
+
|Tag(s)=EMCA; AI Reference List; Robots; Gender
 
|Key=DeRijk2024
 
|Key=DeRijk2024
 
|Year=2024
 
|Year=2024
 
|Language=English
 
|Language=English
 
|Journal=Discourse & Communication
 
|Journal=Discourse & Communication
 +
|Volume=18
 +
|Number=6
 +
|Pages=965–976
 
|URL=https://journals.sagepub.com/doi/full/10.1177/17504813241267117
 
|URL=https://journals.sagepub.com/doi/full/10.1177/17504813241267117
 
|DOI=10.1177/17504813241267117
 
|DOI=10.1177/17504813241267117
 
|Abstract=For humanoid robots, gender-ambiguous presentation is implemented as a potential way to avoid gender-stereotypical design. Using conversation analysis, we look at video recorded user interaction in the presence of a designedly gender-ambiguous robot, showing how this design choice is actually dealt with within a social context. Robot gender becomes relevant initially when a user refers to the robot with a dual-gendered package (‘young lady young gentleman’), with another user proposing ‘her’ for the robot, and the talk then evolving to the pursuit of agreement on the robot’s proposed femininity. Robot gender attribution is treated by these users as a collaborative endeavor rather than an individual choice. It includes displays of accountability and orientations to delicateness of gender attribution. By implication, the analysis shows that ambiguous design shifts the burden of gender attribution from robot designers to users.
 
|Abstract=For humanoid robots, gender-ambiguous presentation is implemented as a potential way to avoid gender-stereotypical design. Using conversation analysis, we look at video recorded user interaction in the presence of a designedly gender-ambiguous robot, showing how this design choice is actually dealt with within a social context. Robot gender becomes relevant initially when a user refers to the robot with a dual-gendered package (‘young lady young gentleman’), with another user proposing ‘her’ for the robot, and the talk then evolving to the pursuit of agreement on the robot’s proposed femininity. Robot gender attribution is treated by these users as a collaborative endeavor rather than an individual choice. It includes displays of accountability and orientations to delicateness of gender attribution. By implication, the analysis shows that ambiguous design shifts the burden of gender attribution from robot designers to users.
 
}}
 
}}

Latest revision as of 07:48, 8 November 2024

DeRijk2024
BibType ARTICLE
Key DeRijk2024
Author(s) Lynn de Rijk, Mieke Breukelman, Evi Dalmaijer, Wyke Stommel
Title ‘This uh. . . young lady young gentleman’: Gender attribution in the context of a gender-ambiguous robot
Editor(s)
Tag(s) EMCA, AI Reference List, Robots, Gender
Publisher
Year 2024
Language English
City
Month
Journal Discourse & Communication
Volume 18
Number 6
Pages 965–976
URL Link
DOI 10.1177/17504813241267117
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

For humanoid robots, gender-ambiguous presentation is implemented as a potential way to avoid gender-stereotypical design. Using conversation analysis, we look at video recorded user interaction in the presence of a designedly gender-ambiguous robot, showing how this design choice is actually dealt with within a social context. Robot gender becomes relevant initially when a user refers to the robot with a dual-gendered package (‘young lady young gentleman’), with another user proposing ‘her’ for the robot, and the talk then evolving to the pursuit of agreement on the robot’s proposed femininity. Robot gender attribution is treated by these users as a collaborative endeavor rather than an individual choice. It includes displays of accountability and orientations to delicateness of gender attribution. By implication, the analysis shows that ambiguous design shifts the burden of gender attribution from robot designers to users.

Notes