Chasing Luck: Data-driven Prediction, Faith, Hunch, and Cultural Norms in Rural Betting Practices

要旨

HCI research predominantly uses scientific rationality to explain users' behaviors, decisions, and interactions with statistical models based and data-driven systems. However, such interactions are often more diverse in real life, and may straddle beyond scientific and economic rationality. Building on a ten-month ethnography at seven Bangladeshi villages, we explore the social and cultural factors that influence the online betting practices among the villagers. We describe how bets harmonize with users' faith, hunch, and cultural practices, along with statistical recommendations. Drawing on a rich body of social science work on gambling, we contribute to the HCI scholarship in rationality, justification, and postcolonial computing. Finally, we present such betting as an under-appreciated site for HCI that contradicts with the ideological hegemony of statistical rationality, and recommend a smooth integration of AI system with the ``other'' rationalities of the Global South.

著者
Sharifa Sultana
Cornell University, Ithaca, New York, United States
Mobaydul Haque Mozumder
Khulna University of Engineering and Technology, Khulna, Bangladesh
Syed Ishtiaque Ahmed
University of Toronto, Toronto, Ontario, Canada
DOI

10.1145/3411764.3445047

論文URL

https://doi.org/10.1145/3411764.3445047

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Technology Resistance / HCI and Distinct Populations / Queering Technologies

[B] Paper Room 03, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 03, 2021-05-14 09:00:00~2021-05-14 11:00:00 / [A] Paper Room 03, 2021-05-13 17:00:00~2021-05-13 19:00:00
Paper Room 03
12 件の発表
2021-05-14 01:00:00
2021-05-14 03:00:00
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