732 citations · 777 across the 7 of their papers we have counts for
5 papers · 1 filter
Interpretive Cultures: Resonance, randomness, and negotiated meaning for AI-assisted tarot divination
Matthew Prock, Ziv Epstein, Hope Schroeder +4
While generative AI tools are increasingly adopted for creative and analytical tasks, their role in interpretive practices, where meaning is subjective, plural, and non-causal, rem…
Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review
Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith +4
Large language models (LLMs) have been positioned to revolutionize HCI, by reshaping not only the interfaces, design patterns, and sociotechnical systems that we study, but also th…
Large Language Models in Qualitative Research: Uses, Tensions, and Intentions
Hope Schroeder, Marianne Aubin Le Quéré, Casey Randazzo +2
Qualitative researchers use tools to collect, sort, and analyze their data. Should qualitative researchers use large language models (LLMs) as part of their practice? LLMs could au…
Location-based AR for Social Justice: Case Studies, Lessons, and Open Challenges
Hope Schroeder, Rob Tokanel, Kyle Qian +1
Dear Visitor and Charleston Reconstructed were location-based augmented reality (AR) experiences created between 2018 and 2020 dealing with two controversial monument sites in the…
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Ziv Epstein, Hope Schroeder, Dava Newman
Generative AI techniques like those that synthesize images from text (text-to-image models) offer new possibilities for creatively imagining new ideas. We investigate the capabilit…