Sultana, Sharifa, Chowdhury, Hafsah Mahzabin, Sultana, Zinnat and Verdezoto, Nervo  ORCID: https://orcid.org/0000-0001-5006-4262
2025.
‘Socheton’: A culturally appropriate AI tool to support reproductive well-being.
Presented at: ACM Designing Interactive Systems (DIS),
Madeira, Portugal,
5-9 July 2025.
Published in: Nunes, Nuno Jardim, Nisi, Valentina, Oakley, Ian, Yang, Qian and Zheng, Clement eds.
Proceedings of the ACM Designing Interactive Systems (DIS) 2025.
New York:
ACM,
pp. 3098-3116.
10.1145/3715336.3735725
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Abstract
Reproductive well-being education in the Global South is often challenged as many communities perceive many of its contents as misinformation, misconceptions, and language-inappropriate. Our ten-month-long ethnographic study (n=41) investigated the impact of sociocultural landscape, cultural beliefs, and healthcare infrastructure on Bangladeshi people’s access to quality reproductive healthcare and set four design goals: combating misinformation, including culturally appropriate language, professionals’ accountable moderation, and promoting users’ democratic participation. Building on the model of ‘Distributive Justice,’ we designed and evaluated ‘Socheton,’ a culturally appropriate AI-mediated tool for reproductive well-being that includes healthcare professionals, AI-language teachers, and community members to moderate and run the activity-based platform. Our user study (n=28) revealed that only combating misinformation and language inappropriateness may still leave the community with a conservative mob culture and patronize reproductive care-seeking. This guides well-being HCI design toward being culturally appropriate in the context of reproductive justice with sensitive marginalized communities.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | ACM |
| ISBN: | 9798400714856 |
| Date of First Compliant Deposit: | 12 June 2025 |
| Date of Acceptance: | 8 May 2025 |
| Last Modified: | 17 Jul 2025 08:59 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/179056 |
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