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This paper studies the design of an AI tool that supports gig knowledge workers, rather than displacing them, focusing on text-based generative AI technologies. Through a formative study involving interviews and design activities, gig workers shared their views on text-based generative AI and envisioned applications where AI acts as managers, secretaries, and communication aids. Leveraging these insights, we created a generative-AI enhanced tool, Office-Mind AI, to aid gig workers. Our research advances the conversation around algorithmic labor by designing a worker-focused intelligent tool. This tool harness collective intelligence among workers and AI, fostering productive human-AI partnerships. We conclude by discussing the future prospects of collective intelligence tools designed for worker-AI collaborations.
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This content will become publicly available on July 14, 2026
Kumu Connect: Design Thinking for Place-Based Generative Educational Technology in Hawaiian Immersion Schools
In the pursuit of place-based, generative AI educational technologies, the field of Human-Computer Interaction (HCI) offers a powerful framework for identifying and addressing diverse user needs. In partnership an Hawaiian language immersion (Kaiapuni) school and 13 educators, this 1-year case study presents a research approach rooted in assets-based design and Design Thinking that leverages rapid iteration, usability testing, and speculative prototyping to co-design a generative AI tool for Kaiapuni educators. Our synthesis of observations, participant reflections, and usability testing feedback provides evidence for such methods in their ability to envision ideal outcomes for Kaiapuni education supported by generative AI technologies.
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- PAR ID:
- 10648942
- Publisher / Repository:
- ACM
- Date Published:
- Page Range / eLocation ID:
- 186 to 195
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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