8 papers
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…
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…
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…
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…
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation
Evans Xu Han, Alice Qian Zhang, Haiyi Zhu +3
State-of-the-art visual generative AI tools hold immense potential to assist users in the early ideation stages of creative tasks -- offering the ability to generate (rather than s…
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…