Ascribing gender to a social robot

Malene Flensborg Damholdt; Christina Vestergaard; Johanna Seibt

doi:10.3233/FAIA200921

Ascribing gender to a social robot

Malene Flensborg Damholdt, Christina Vestergaard, Johanna Seibt

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

5 Citationer (Scopus)

Abstract

Gender ascription to robots may lead to willingly or inadvertently repeating gender stereotypes. To reduce this risk, it is important to delineate how gender is spontaneously assigned to robots. The present study explores spontaneous ascription of gender to a social robot with minimal visual gender cues. A total of N=63 participants partook and were engaged in interaction with the robot for 45-50 minutes. The majority (n=36) ascribed gender to the robot, mainly based on voice. The remaining participants still assigned mental capacities to the robot. The implications of the results are discussed.

Originalsprog	Engelsk
Titel	Culturally Sustainable Social Robotics - Proceedings of Robophilosophy 2020 : Proceedings of Robophilosophy 2020 August 18–21, 2020, Aarhus University and online
Redaktører	Marco Nørskov, Johanna Seibt, Oliver Santiago Quick
Antal sider	10
Udgivelsessted	Amsterdam
Forlag	IOS Press
Publikationsdato	2020
Sider	247-256
ISBN (Trykt)	978-1-64368-154-2
ISBN (Elektronisk)	978-1-64368-155-9
DOI	https://doi.org/10.3233/FAIA200921
Status	Udgivet - 2020
Begivenhed	Robophilosophy 2020 - Aarhus University and online, Danmark Varighed: 18 aug. 2020 → 21 aug. 2020

Konference

Konference	Robophilosophy 2020
Land/Område	Danmark
By	Aarhus University and online
Periode	18/08/2020 → 21/08/2020

Navn	Frontiers in Artificial Intelligence and Applications
Vol/bind	335
ISSN	0922-6389

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10.3233/FAIA200921

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Link to publication in Scopus

INSOR: Carlsberg Semper Ardens Project: What Social Robots Can and Should Do--Towards Integrative Social Robotics
Seibt, J. (Deltager), Nørskov, M. (Deltager), Rodogno, R. (Deltager), Roepstorff, A. (Deltager), Skewes, J. (Deltager), Ulhøi, J. P. (Deltager), Nørskov, S. (Deltager), Bjerring, J. C. (Deltager), Vestergaard, C. (Deltager), Damholdt, M. F. (Deltager) & Fazekas, P. (Samarbejdspartner)
Carlsbergfondet
01/07/2016 → 28/02/2025
Projekter: Projekt › Forskning

Citationsformater

Damholdt, Malene Flensborg ; Vestergaard, Christina ; Seibt, Johanna. / Ascribing gender to a social robot. Culturally Sustainable Social Robotics - Proceedings of Robophilosophy 2020: Proceedings of Robophilosophy 2020 August 18–21, 2020, Aarhus University and online. red. / Marco Nørskov ; Johanna Seibt ; Oliver Santiago Quick. Amsterdam : IOS Press, 2020. s. 247-256 (Frontiers in Artificial Intelligence and Applications, Bind 335).

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abstract = "Gender ascription to robots may lead to willingly or inadvertently repeating gender stereotypes. To reduce this risk, it is important to delineate how gender is spontaneously assigned to robots. The present study explores spontaneous ascription of gender to a social robot with minimal visual gender cues. A total of N=63 participants partook and were engaged in interaction with the robot for 45-50 minutes. The majority (n=36) ascribed gender to the robot, mainly based on voice. The remaining participants still assigned mental capacities to the robot. The implications of the results are discussed.",

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booktitle = "Culturally Sustainable Social Robotics - Proceedings of Robophilosophy 2020",

note = "Robophilosophy 2020 ; Conference date: 18-08-2020 Through 21-08-2020",

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Damholdt, MF , Vestergaard, C & Seibt, J 2020, Ascribing gender to a social robot. i M Nørskov, J Seibt & OS Quick (red), Culturally Sustainable Social Robotics - Proceedings of Robophilosophy 2020: Proceedings of Robophilosophy 2020 August 18–21, 2020, Aarhus University and online. IOS Press, Amsterdam, Frontiers in Artificial Intelligence and Applications, bind 335, s. 247-256, Robophilosophy 2020, Aarhus University and online, Danmark, 18/08/2020. https://doi.org/10.3233/FAIA200921

Ascribing gender to a social robot. / Damholdt, Malene Flensborg ; Vestergaard, Christina ; Seibt, Johanna.
Culturally Sustainable Social Robotics - Proceedings of Robophilosophy 2020: Proceedings of Robophilosophy 2020 August 18–21, 2020, Aarhus University and online. red. / Marco Nørskov; Johanna Seibt; Oliver Santiago Quick. Amsterdam: IOS Press, 2020. s. 247-256 (Frontiers in Artificial Intelligence and Applications, Bind 335).

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

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N2 - Gender ascription to robots may lead to willingly or inadvertently repeating gender stereotypes. To reduce this risk, it is important to delineate how gender is spontaneously assigned to robots. The present study explores spontaneous ascription of gender to a social robot with minimal visual gender cues. A total of N=63 participants partook and were engaged in interaction with the robot for 45-50 minutes. The majority (n=36) ascribed gender to the robot, mainly based on voice. The remaining participants still assigned mental capacities to the robot. The implications of the results are discussed.

AB - Gender ascription to robots may lead to willingly or inadvertently repeating gender stereotypes. To reduce this risk, it is important to delineate how gender is spontaneously assigned to robots. The present study explores spontaneous ascription of gender to a social robot with minimal visual gender cues. A total of N=63 participants partook and were engaged in interaction with the robot for 45-50 minutes. The majority (n=36) ascribed gender to the robot, mainly based on voice. The remaining participants still assigned mental capacities to the robot. The implications of the results are discussed.

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Damholdt MF , Vestergaard C , Seibt J. Ascribing gender to a social robot. I Nørskov M, Seibt J, Quick OS, red., Culturally Sustainable Social Robotics - Proceedings of Robophilosophy 2020: Proceedings of Robophilosophy 2020 August 18–21, 2020, Aarhus University and online. Amsterdam: IOS Press. 2020. s. 247-256. (Frontiers in Artificial Intelligence and Applications, Bind 335). doi: 10.3233/FAIA200921

Ascribing gender to a social robot

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Projekter

INSOR: Carlsberg Semper Ardens Project: What Social Robots Can and Should Do--Towards Integrative Social Robotics

Citationsformater