Gender Fairness in Social Robotics : Exploring a Future Care of Peripartum Depression
(2022) ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022) p.598-607- Abstract
- In this paper we investigate the possibility of socially assistive robots (SARs) supporting diagnostic screening for peripartum depression (PPD) within the next five years. Through a HRI/socio-legal collaboration, we explore the gender norms within PPD in Sweden, to inform a gender-sensitive approach to designing SARs in such a setting, as well as governance implications. This is achieved through conducting expert interviews and qualitatively analysing the data. Based on the results, we conclude that a gender-sensitive approach is a necessity in relation to the design and governance of SARs for PPD screening.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1d6dfa8d-87da-4be0-b853-0bcc093f7cfd
- author
- Tanqueray, Laetitia LU ; Paulsson, Tobiaz ; Zhong, Mengyu ; Larsson, Stefan LU and Castellano, Ginevra
- organization
- publishing date
- 2022-01-07
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- fairness, social robotics, gender, peripartum depression (PPD), socially assistive robots (SARs), AI governance
- host publication
- Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction : Alt.HRI - Our Robotics Futures: A Time Capsule - Alt.HRI - Our Robotics Futures: A Time Capsule
- pages
- 10 pages
- publisher
- Association for Computing Machinery (ACM)
- conference name
- ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022)
- conference location
- Japan
- conference dates
- 2022-03-07 - 2022-03-10
- external identifiers
-
- scopus:85140736051
- ISBN
- 978-153868554-9
- DOI
- 10.1109/HRI53351.2022.9889468
- project
- AI Transparency and Consumer Trust
- Fairness in social robotics: gender as a case study for developing a multidisciplinary framework for social robotics and socio-legal studies of AI
- Automated decision-making – Nordic perspectives
- language
- English
- LU publication?
- yes
- id
- 1d6dfa8d-87da-4be0-b853-0bcc093f7cfd
- date added to LUP
- 2022-01-11 11:51:13
- date last changed
- 2023-04-06 16:38:32
@inproceedings{1d6dfa8d-87da-4be0-b853-0bcc093f7cfd, abstract = {{In this paper we investigate the possibility of socially assistive robots (SARs) supporting diagnostic screening for peripartum depression (PPD) within the next five years. Through a HRI/socio-legal collaboration, we explore the gender norms within PPD in Sweden, to inform a gender-sensitive approach to designing SARs in such a setting, as well as governance implications. This is achieved through conducting expert interviews and qualitatively analysing the data. Based on the results, we conclude that a gender-sensitive approach is a necessity in relation to the design and governance of SARs for PPD screening.}}, author = {{Tanqueray, Laetitia and Paulsson, Tobiaz and Zhong, Mengyu and Larsson, Stefan and Castellano, Ginevra}}, booktitle = {{Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction : Alt.HRI - Our Robotics Futures: A Time Capsule}}, isbn = {{978-153868554-9}}, keywords = {{fairness; social robotics; gender; peripartum depression (PPD); socially assistive robots (SARs); AI governance}}, language = {{eng}}, month = {{01}}, pages = {{598--607}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{Gender Fairness in Social Robotics : Exploring a Future Care of Peripartum Depression}}, url = {{https://lup.lub.lu.se/search/files/112225110/Tanqueray_2022_Gender_Fairness_in_Social_Robotics_Exploring_a_Future_Care_of_Peripartum_Depression.pdf}}, doi = {{10.1109/HRI53351.2022.9889468}}, year = {{2022}}, }