# A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles

arXiv: https://arxiv.org/abs/2408.07838 · HTML: https://mlsanity.com/paper/2408.07838/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 15 of its 171 references that are in the map.
- First posted on arXiv 31 Jul 2024.

## Builds on (most cited first, 15 of 15)

- [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://mlsanity.com/paper/1602.07332/) (2016)
- [AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation](https://mlsanity.com/paper/2402.14978/) (2024)
- [A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk](https://mlsanity.com/paper/1712.05796/) (2017)
- [Whose AI Dream? In search of the aspiration in data annotation](https://mlsanity.com/paper/2203.10748/) (2022)
- [Quantifying the Invisible Labor in Crowd Work](https://mlsanity.com/paper/2110.00169/) (2021)
- ["Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent](https://mlsanity.com/paper/1708.03044/) (2017)
- [The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help](https://mlsanity.com/paper/2105.09457/) (2021)
- [In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers](https://mlsanity.com/paper/2112.02255/) (2021)
- [The Challenges of Crowd Workers in Rural and Urban America](https://mlsanity.com/paper/2012.15211/) (2020)
- [TurkScanner: Predicting the Hourly Wage of Microtasks](https://mlsanity.com/paper/1903.07032/) (2019)
- [Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms](https://mlsanity.com/paper/1904.06722/) (2019)
- [Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers](https://mlsanity.com/paper/2005.06021/) (2020)
- [Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships](https://mlsanity.com/paper/1602.06634/) (2016)
- [Crowd Work on a CV? Understanding How AMT Fits into Turkers' Career Goals and Professional Profiles](https://mlsanity.com/paper/1902.05361/) (2019)
- [Designing an Inclusive and Engaging Hybrid Event: Experiences from CHIWORK](https://mlsanity.com/paper/2306.15600/) (2023)

## Abstract (arXiv)

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.