The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making
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“Research indicates users value AI's responsiveness to their arguments [139].”
From Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making (2025) · cites this paper as [139]
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Cited by
Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate
Chiang, C.-W., Lu, Z., Li, Z., & Yin, M. (2024) · Proceedings of the 29th International Conference on Intelligent User Interfaces · doi:10.1145/3640543.3645199 · Cited by 142
Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students
Zheng, C., Yuan, K., Guo, B., Mogavi, R. H., Peng, Z., Ma, S., & Ma, X. (2024) · arXiv · doi:10.48550/arxiv.2401.14915 · Cited by 70
Self-citationCharting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students
Zheng, C., Yuan, K., Guo, B., Hadi Mogavi, R., Peng, Z., Ma, S., & Ma, X. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642807 · Cited by 70
Self-citationA Taxonomy for Human-LLM Interaction Modes: An Initial Exploration
Gao, J., Gebreegziabher, S. A., Choo, K. T. W., Li, T. J.-J., Perrault, S. T., & Malone, T. W. (2024) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613905.3650786 · Cited by 57
“This is typically achieved by integrating an agent within the team that aids in communication [16], decision-making [83], information sharing, and coordination.”
Ma, S., Chen, Q., Wang, X., Zheng, C., Peng, Z., Yin, M., & Ma, X. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713423 · Cited by 48
Self-citationSalimzadeh, S., He, G., & Gadiraju, U. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641905 · Cited by 41
“Recent studies have explored variables that contribute to the fairness [31, 76, 124, 130] and trustworthiness [34, 48, 80, 139] of AI systems, as well as the impact of assigning different decision-making roles to humans and AI on the reliance on such systems [52, 103, 122, 144].”
Background
Metadata
- Authors
- Zheng, C., Wu, Y., Shi, C., Ma, S., Luo, J., & Ma, X.
- Affiliations
- Hong Kong University of Science and Technology, China
- Chinese University of Hong Kong, Shenzhen, China
- The Hong Kong University of Science and Technology, China
- Hong Kong University of Science and Technology, Hong Kong
- Venue
- Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2023-04-19
- Pages
- 1-19
- Cited by
- 48
- References
- 27
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.