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Gender Fairness in Social Robotics: Exploring a Future Care of Peripartum Depression

Laetitia Tanqueray, Tobiaz Paulsson, Mengyu Zhong, Stefan Larsson, Ginevra Castellano

Year
2022
Citations
16

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.

Keywords

RoboticsDepression (economics)Artificial intelligenceComputer sciencePsychologyRobotEconomics

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