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2020 – today
- 2024
[c4]Hope Schroeder, Deb Roy, Jad Kabbara:
Fora: A corpus and framework for the study of facilitated dialogue. ACL (1) 2024: 13985-14001- [c3]Marianne Aubin Le Quéré
, Hope Schroeder, Casey Randazzo, Jie Gao, Ziv Epstein, Simon Tangi Perrault, David Mimno, Louise Barkhuus, Hanlin Li:
LLMs as Research Tools: Applications and Evaluations in HCI Data Work. CHI Extended Abstracts 2024: 479:1-479:7 - [i5]Hope Schroeder, Marianne Aubin Le Quéré, Casey Randazzo, David Mimno, Sarita Schoenebeck:
Large Language Models in Qualitative Research: Can We Do the Data Justice? CoRR abs/2410.07362 (2024) - 2023
- [c2]Hope Schroeder, Rob Tokanel, Kyle Qian, Khoi Le:
Location-based AR for Social Justice: Case Studies, Lessons, and Open Challenges. CHI Extended Abstracts 2023: 391:1-391:10 - [i4]Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman:
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts. CoRR abs/2302.00561 (2023) - [i3]Hope Schroeder, Rob Tokanel, Kyle Qian, Khoi Le:
Location-based AR for Social Justice: Case Studies, Lessons, and Open Challenges. CoRR abs/2302.02050 (2023) - [i2]Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky:
Art and the science of generative AI: A deeper dive. CoRR abs/2306.04141 (2023) - 2022
- [c1]Ziv Epstein, Hope Schroeder, Dava Newman:
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. ICCC 2022: 334-338 - [i1]Ziv Epstein, Hope Schroeder, Dava Newman:
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. CoRR abs/2206.00533 (2022)
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