Understanding Human–AI Collaboration Modes in Knowledge-Intensive Crowdsourcing: Cognitive Mechanisms, Team Performance, and Design Implications

Authors

• Fangzheng Li, School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
• Xicheng Yin, School of Public Administration, University of Electronic Science and Technology of China, Chengdu 611731, China
• Li Li, School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China

Recommended Citation

Li, Fangzheng; Yin, Xicheng; and Li, Li, "Understanding Human–AI Collaboration Modes in Knowledge-Intensive Crowdsourcing: Cognitive Mechanisms, Team Performance, and Design Implications" (2026). WHICEB 2026 Proceedings. 75.
https://aisel.aisnet.org/whiceb2026/75