12 citations · 28 across the 7 of their papers we have counts for
6 papers · 1 filter
Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities
Sander de Jong, Jane Hsieh, Tzu-Sheng Kuo +3
Across service domains, platform-based gig workers often face a wide range of severe yet hidden vulnerabilities, including opaque pay practices, illusions of flexibility, health an…
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…
Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations
Tzu-Sheng Kuo, Sophia Liu, Quan Ze Chen +4
AI agents, or bots, serve important roles in online communities. However, they are often designed by outsiders or a few tech-savvy members, leading to bots that may not align with…
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…
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…
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…