A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles
This addresses the problem of cultural mismatch in digital labor tools for crowdworkers, representing a pioneering but incremental step in culturally-aware interventions.
The paper tackled the problem of standardized crowdsourcing interfaces ignoring cultural diversity, which harms worker well-being and productivity, by proposing a culturally-aware tool called CultureFit that adapts to monochronic and polychronic work styles, and a field experiment with 55 workers from 24 countries showed it significantly improved earnings for workers from overlooked cultural backgrounds.
Crowdsourcing markets are expanding worldwide, but often feature standardized interfaces that ignore the cultural diversity of their workers, negatively impacting their well-being and productivity. To transform these workplace dynamics, this paper proposes creating culturally-aware workplace tools, specifically designed to adapt to the cultural dimensions of monochronic and polychronic work styles. We illustrate this approach with "CultureFit," a tool that we engineered based on extensive research in Chronemics and culture theories. To study and evaluate our tool in the real world, we conducted a field experiment with 55 workers from 24 different countries. Our field experiment revealed that CultureFit significantly improved the earnings of workers from cultural backgrounds often overlooked in design. Our study is among the pioneering efforts to examine culturally aware digital labor interventions. It also provides access to a dataset with over two million data points on culture and digital work, which can be leveraged for future research in this emerging field. The paper concludes by discussing the importance and future possibilities of incorporating cultural insights into the design of tools for digital labor.