732 citations · 777 across the 7 of their papers we have counts for
8 papers
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…
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks
Hope Schroeder, Deb Roy, Jad Kabbara
LLM use in annotation is becoming widespread, and given LLMs' overall promising performance and speed, simply "reviewing" LLM annotations in interpretive tasks can be tempting. In…
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…
Art and the science of generative AI: A deeper dive
Ziv Epstein, Aaron Hertzmann, Laura Herman +11
A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The…
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…
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
Amy Smith, Hope Schroeder, Ziv Epstein +3
Text-to-image generative models have recently exploded in popularity and accessibility. Yet so far, use of these models in creative tasks that bridge the 2D digital world and the c…
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…