The Annotation of the Complexity and Diverse Features of Decision Tasks in the Human-AI Decision-Making Literature

This dataset contains annotations of various dimensions of decision-making tasks explored in the human-AI collaboration literature from January 2019 to August 2022. These factors include decision complexity, decision domain, task type, and required expertise. The dataset was created to analyze the complexity of decision-making tasks in the literature and identify research gaps. It is being made public to serve as supplementary data for publications and the PhD thesis of Sara Salimzadeh, as well as to enable other researchers to utilize this data in their own work.

本数据集收录了2019年1月至2022年8月期间，人机协作（human-AI collaboration）研究文献中所探讨的决策任务多维度标注信息。标注维度涵盖决策复杂度、决策应用领域、任务类型与所需专业专长。本数据集的构建目的为分析现有文献中决策任务的复杂度，并识别相关研究空白。本次公开该数据集，既可作为Sara Salimzadeh已发表学术成果与博士学位论文的补充数据，也可为其他研究者在自身研究工作中使用该数据集提供便利。