The DOI matches its Crossref record, with a small difference in title or year; 9 of the 9 references it cites were found in a registry or an index.
Mapping the Design Space of Human-AI Interaction in Text Summarization
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“Cheng et al. conducted a systematic analysis of the design space, culminating in the creation of a taxonomy featuring five dimensions, including human actions, types of human control, model iterations, workflow initiation, and design of interfaces between human and AI [16].”
From Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation (2024) · cites this paper as [16]
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Citations
Cites
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
Shneiderman, B. (2020) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1741118 · Cited by 1,743
Hierarchical Neural Story Generation
Fan, A., Lewis, M., & Dauphin, Y. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1082 · Cited by 1,266
Hierarchical Neural Story Generation
Fan, A., Lewis, M., & Dauphin, Y. (2018) · arXiv · doi:10.48550/arxiv.1805.04833 · Cited by 1,242
The Role of Explanations on Trust and Reliance in Clinical Decision Support Systems
Bussone, A., Stumpf, S., & O'Sullivan, D. (2015) · 2015 International Conference on Healthcare Informatics · doi:10.1109/ichi.2015.26 · Cited by 441
Metaphoria: An Algorithmic Companion for Metaphor Creation
Gero, K. I., & Chilton, L. B. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300526 · Cited by 146
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Nguyen, K., Daumé III, H., & Boyd-Graber, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1153 · Cited by 110
Osone, H., Lu, J.-L., & Ochiai, Y. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411763.3450391 · Cited by 74
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Huang, Y., Feng, X., Feng, X., & Qin, B. (2021) · arXiv · doi:10.48550/arxiv.2104.14839 · Cited by 62
Daronnat, S., Azzopardi, L., Halvey, M., & Dubiel, M. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.642201 · Cited by 45
Cited by
Sorted by citations
Mirowski, P., Mathewson, K. W., Pittman, J., & Evans, R. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581225 · Cited by 240
Suh, S., Chen, M., Min, B., Li, T. J.-J., & Xia, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642400 · Cited by 148
Cheng, R., Wang, R., Zimmermann, T., & Ford, D. (2024) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3651990 · Cited by 47
Self-citationPANDALens: Towards AI-Assisted In-Context Writing on OHMD During Travels
Cai, R., Janaka, N., Chen, Y., Wang, L., Zhao, S., & Liu, C. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642320 · Cited by 36
Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks
Ding, Z., & Chan, J. (2023) · arXiv · doi:10.48550/arxiv.2303.06430 · Cited by 9
Metadata
- Authors
- Cheng, R., Smith-Renner, A., Zhang, K., Tetreault, J., & Jaimes-Larrarte, A.
- Venue
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Published
- 2022
- Pages
- 431-455
- Cited by
- 20
- References
- 9
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- CoChat. (2026). Citation check: Mapping the Design Space of Human-AI Interaction in Text Summarization. https://app.cochat.ai/papers/10.18653/v1/2022.naacl-main.33
- The paper
- Cheng, R., Smith-Renner, A., Zhang, K., Tetreault, J., & Jaimes-Larrarte, A. (2022). Mapping the Design Space of Human-AI Interaction in Text Summarization. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. https://doi.org/10.18653/v1/2022.naacl-main.33
