The integration of artificial intelligence (AI) into human decision-making processes at the workplace presents both opportunities and challenges. One promising approach to leverage existing complementary capabilities is allowing humans to delegate individual instances of decision tasks to AI. However, enabling humans to delegate instances effectively requires them to assess several factors. One key factor is the analysis of both their own capabilities and those of the AI in the context of the given task. In this work, we conduct a behavioral study to explore the effects of providing contextual information to support this delegation decision. Specifically, we investigate how contextual information about the AI and the task domain influence humans' delegation decisions to an AI and their impact on the human-AI team performance. Our findings reveal that access to contextual information significantly improves human-AI team performance in delegation settings. Finally, we show that the delegation behavior changes with the different types of contextual information. Overall, this research advances the understanding of computer-supported, collaborative work and provides actionable insights for designing more effective collaborative systems.
Computational ergonomics for task delegation in Human-Robot Collaboration: spatiotemporal adaptation of the robot to the human through contactless gesture recognition
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
Gamaizer；Université de technologie de Compiègne, CNRS, Heudiasyc（法国图尔学院、CNRS、Heudiasyc）；Sorbonne Université, CNRS UMR 7585, LPMHE（索邦大学、CNRS UMR 7585、LPMHE）
DySRec: Dynamic Context-Aware Psychometric Scale Recommendation via Multi-Agent Collaboration
Institute of Artificial Intelligence and Future Networks, Beijing Normal University（北京师范大学人工智能与未来网络研究院）；Wangxuan Institute of Computer Technology, Peking University（北京大学王选计算机研究所）；Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College（中国医学科学院北京协和医学院阜外医院）；Peking University Sixth Hospital, Peking University Institute of Mental Health（北京大学第六医院、北京大学精神卫生研究所）；Beijing Malt Butler Technology Co., Ltd（北京麦芽管家科技有限公司）；School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College（中国医学科学院北京协和医学院人口与健康学院）
AI Agents for Inventory Control: Human-LLM-OR Complementarity
Stern School of Business, New York University（纽约大学斯特恩商学院）；Columbia University（哥伦比亚大学）；Graduate School of Business and Data Science Institute, Columbia University（哥伦比亚大学商学院与数据科学研究院）
Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning
Faculty of Medicine, Lund University（Lund大学医学院）；Department of Economics, Lund University School of Economics and Management（Lund大学经济学与管理学院经济系）；Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine（伦敦卫生与热带医学学院健康服务研究与政策系）
