most citedGig2Gether: Data-sharing to Empower, Unify and Demystify Gig Work

9 citations · 15 across the 4 of their papers we have counts for

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cs.HC2025

Beyond Riding: Passenger Engagement with Driver Labor through Gamified Interactions

Jane Hsieh, Emmie Regan, Jose Elizalde +1

Modern cities increasingly rely on ridesharing services for on-demand transportation, which offer consumers convenience and mobility across the globe. However, these marketed consu…

cs.HC2025

Exploring Opportunities to Support Novice Visual Artists' Inspiration and Ideation with Generative AI

Cindy Peng, Alice Qian, Linghao Jin +6

Recent generative AI advances present new possibilities for supporting visual art creation, but how such promise might assist novice artists during early-stage processes requires i…

cs.HC2025

Policy alone is probably not the solution: A large-scale experiment on how developers struggle to design meaningful end-user explanations

Nadia Nahar, Zahra Abba Omar, Jacob Tjaden +6

Developers play a central role in determining how machine learning systems are explained in practice, yet they are rarely trained to design explanations for non-technical audiences…

cs.HC20259 cited

Gig2Gether: Data-sharing to Empower, Unify and Demystify Gig Work

Jane Hsieh, Angie Zhang, Sajel Surati +6

The wide adoption of platformized work has generated remarkable advancements in the labor patterns and mobility of modern society. Underpinning such progress, gig workers are expos…

cs.HC2024

PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation

Tzu-Sheng Kuo, Quan Ze Chen, Amy X. Zhang +3

Community and organizational policies are typically designed in a top-down, centralized fashion, with limited input from impacted stakeholders. This can result in policies that are…

cs.HC20244 cited

Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities

Jane Hsieh, Angie Zhang, Seyun Kim +7

Platform-based laborers face unprecedented challenges and working conditions that result from algorithmic opacity, insufficient data transparency, and unclear policies and regulati…