A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles
Toxtli, Carlos, Curtis, Christopher, Savage, Saiph
–arXiv.org Artificial Intelligence
This issue usually stems from the assumption that crowdworkers are a homogeneous group [56], neglecting their diverse cultural backgrounds [90]. Moreover, a notable trend in design has emerged advocating for minimizing cultural impact in work interfaces, aiming for global uniformity in their design rather than customizing these systems to accommodate cultural nuances [133, 134, 193]. Consequently, many work interfaces have strived for uniform standards, and have ignored worker diversity [76, 84, 88]. However, interfaces often reflect the cultural biases of their designers [18], inadvertently embedding their cultural norms [146, 150, 177]. This can lead to designs that unintentionally require "outside workers" to adapt or modify their behaviors [126, 177], potentially hindering their success and effectiveness in their jobs [24, 60, 64, 85]. A solution can be to create culturally aware tools for crowdworkers, yet research into integrating culture theory into such designs remains limited [108, 118, 163]. Further research is crucial to assess these systems' effectiveness and their potential benefits for crowdworkers from varied cultural backgrounds. To address this knowledge gap, we focus on designing a tool that aims to enhance crowdworkers' experiences by incorporating cultural considerations.
arXiv.org Artificial Intelligence
Jul-31-2024
- Country:
- Africa (0.14)
- Asia
- India (0.04)
- Indonesia > Bali (0.04)
- Southeast Asia (0.04)
- Europe
- Sweden (0.04)
- Western Europe (0.04)
- France (0.04)
- Norway (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Oxfordshire > Oxford (0.04)
- San Marino > Fiorentino
- Fiorentino (0.04)
- Denmark > Capital Region
- Copenhagen (0.04)
- Germany (0.04)
- Switzerland > Zürich
- Zürich (0.04)
- North America
- Canada > Ontario
- Toronto (0.14)
- Central America (0.04)
- Mexico (0.04)
- United States
- California > Los Angeles County
- Los Angeles (0.14)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- New York > New York County
- New York City (0.04)
- California > Los Angeles County
- Canada > Ontario
- Oceania > Australia
- Victoria (0.04)
- South America > Venezuela (0.04)
- Genre:
- Overview (0.93)
- Questionnaire & Opinion Survey (1.00)
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Industry:
- Banking & Finance (0.67)
- Education > Educational Setting (0.93)
- Information Technology (0.93)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning > Statistical Learning (0.46)
- Natural Language (0.67)
- Representation & Reasoning > Personal Assistant Systems (0.68)
- Robots (0.93)
- Communications
- Collaboration (0.68)
- Social Media (1.00)
- Data Science (0.92)
- Human Computer Interaction > Interfaces (1.00)
- Artificial Intelligence
- Information Technology