`Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912429896630272 |
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| author | Sultana, Sharifa Chowdhury, Hafsah Mahzabin Sultana, Zinnat Verdezoto, Nervo |
| author_facet | Sultana, Sharifa Chowdhury, Hafsah Mahzabin Sultana, Zinnat Verdezoto, Nervo |
| contents | 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 `\textit{Distributive Justice,}' we designed and evaluated \textit{`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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_12357 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | `Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being Sultana, Sharifa Chowdhury, Hafsah Mahzabin Sultana, Zinnat Verdezoto, Nervo Human-Computer Interaction 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 `\textit{Distributive Justice,}' we designed and evaluated \textit{`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. |
| title | `Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2506.12357 |