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ORCIDHope Schroeder
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2020 – today
- 2026
[c13]Matthew Kieran Prock
, Ziv Epstein, Hope Schroeder, Amy Smith, Cassandra Lee, Vana Goblot, Farnaz Jahanbakhsh:
Interpretive Cultures: Resonance, randomness, and negotiated meaning for AI-assisted tarot divination. CHI 2026: 784:1-784:15- [c12]William Agnew, Shivani Kapania, Hope Schroeder, Marianne Aubin Le Quéré, Sarah E. Fox, Hoda Heidari:
Workshop on Developing Standards and Documentation For LLM Use as Simulated Research Participants. CHI Extended Abstracts 2026: 984:1-984:4 - [c11]Hope Schroeder, Doug Beeferman, Maya E. Detwiller, Dimitra Dimitrakopoulou, Deb Roy:
Forage: Understanding LLM-facilitated sensemaking of conversation data. CHI 2026: 1341:1-1341:26 - [i8]Matthew Kieran Prock, Ziv Epstein, Hope Schroeder, Amy Smith, Cassandra Lee, Vana Goblot, Farnaz Jahanbakhsh:
Interpretive Cultures: Resonance, randomness, and negotiated meaning for AI-assisted tarot divination. CoRR abs/2602.11367 (2026) - 2025
- [j1]Marianne Aubin Le Quéré, Hope Schroeder, Casey Randazzo, Jie Gao:
The State of Large Language Models in HCI Research: Workshop Report. Interactions 32(1): 8-9 (2025) - [c10]Hope Schroeder, Deb Roy, Jad Kabbara:
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks. ACL (Findings) 2025: 25771-25795 - [c9]Hope Schroeder, Doug Beeferman, Maya E. Detwiller, Dimitra Dimitrakopoulou, Deb Roy:
Forage: Understanding RAG-based Sensemaking for Community Conversations. CHI Extended Abstracts 2025: 283:1-283:12 - [c8]Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith, Solon Barocas, Ziang Xiao, Emily Tseng, Danielle Bragg:
Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review. CHI 2025: 456:1-456:20 - [c7]Hope Schroeder, Marianne Aubin Le Quéré, Casey Randazzo, David Mimno, Sarita Schoenebeck:
Large Language Models in Qualitative Research: Uses, Tensions, and Intentions. CHI 2025: 481:1-481:17 - [c6]Angel Hsing-Chi Hwang, Marianne Aubin Le Quéré, Hope Schroeder, Alejandro Cuevas, Steven P. Dow, Shivani Kapania, Eugenia Ha Rim Rho:
Scale, Engage, or Both?: Potential and Perils of Applying Large Language Models in Interview and Conversation-Based Research. CSCW Companion 2025: 95-98 - [c5]Hope Schroeder, Akshansh Pareek, Solon Barocas:
Disclosure without Engagement: An Empirical Review of Positionality Statements at FAccT. FAccT 2025: 1195-1210 - [i7]Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith, Solon Barocas, Ziang Xiao, Emily Tseng, Danielle Bragg:
Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review. CoRR abs/2501.12557 (2025) - [i6]Hope Schroeder, Deb Roy, Jad Kabbara:
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks. CoRR abs/2507.15821 (2025) - 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 J. Newman:
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. ICCC 2022: 334-338 - [i1]Ziv Epstein, Hope Schroeder, Dava J. Newman:
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. CoRR abs/2206.00533 (2022)
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