"I use YouTube now in COVID": understanding technology adoption of indigenous communities during COVID-19 pandemic in Bangladesh

Rony, Rahat Jahangir, Sinha, Anik, Amir, Shajnush, Khan, Syeda Shabnam, Saha, Anik, Abeer, Ifti Azad and Ahmed, Nova 2022. "I use YouTube now in COVID": understanding technology adoption of indigenous communities during COVID-19 pandemic in Bangladesh. Presented at: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), Seattle, WA, USA, 29 June - 1 July 2022. Proceedings of COMPASS '22. New York, USA: Association for Computing Machinery, 596–602. 10.1145/3530190.3534847

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Abstract

Indigenous communities in Bangladesh are comparatively disadvantaged and face several barriers regarding rights. Access to technology and ICT can help indigenous communities open new economic, political, and social dimensions. The recent COVID-19 pandemic necessitated technology adoption for routine use, which is equally important for indigenous communities, but their technology adoption scenario remains unexplored in HCI research. Considering the research gap, we interviewed n=36 (Female 26 and Male 10) indigenous people from six different indigenous communities in Chattogarm and Sylhet divisions in Bangladesh. We found that they are strongly connected in communities, have independent technology access, and have no gender differences. They have a strong interest and eagerness to learn available technologies that help them in their professions, enrich their technical skills, communication, social participation, and expand the business. The study also revealed some challenges while using technology, but that did not negatively impact their usage. The study also discussed the community-centric strengths that helped them fight against the COVID-19 crisis and work for their development. This research impacts HCI literature, revealing the technology adoption scenarios of Indigenous communities in Bangladesh.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Association for Computing Machinery
ISBN:	9781450393478
Funders:	Gates Foundation
Last Modified:	29 Nov 2022 11:15
URI:	https://orca.cardiff.ac.uk/id/eprint/154399

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