Soria Zurita Nicolas F, Gyory Joshua T, Balon Corey, Martin Jay, Kotovsky Kenneth, Cagan Jonathan, McComb Christopher
School of Engineering Design, Technology, and Professional Programs, The Pennsylvania State University, University Park, PA, United States.
Colegio de Ciencias e Ingeniería, Universidad San Francisco de Quito, Diego de Roblesy Vía Interoceánica, Quito, Pichincha, Ecuador.
Data Brief. 2022 Feb 8;41:107917. doi: 10.1016/j.dib.2022.107917. eCollection 2022 Apr.
Human subject experiments are performed to evaluate the influence of artificial intelligence (AI) process management on human design teams solving a complex engineering problem and compare that to the influence of human process management. Participants are grouped into teams of five individuals and asked to generate a drone fleet and plan routes to deliver parcels to a given customer market. The teams are placed under the guidance of either a human or an AI external process manager. Halfway through the experiment, the customer market is changed unexpectedly, requiring teams to adjust their strategy. During the experiment, participants can create, evaluate, share their drone designs and delivery routes, and communicate with their team through a text chat tool using a collaborative research platform called HyForm. The research platform collects step-by-step logs of the actions made by and communication amongst participants in both the design team's roles and the process managers. This article presents the data sets collected for 171 participants assigned to 31 design teams, 15 teams under the guidance of an AI agent (5 participants), and 16 teams under the guidance of a human manager (6 participants). These data sets can be used for data-driven design, behavioral analyses, sequence-based analyses, and natural language processing.
进行人体实验以评估人工智能（AI）流程管理对解决复杂工程问题的人类设计团队的影响，并将其与人类流程管理的影响进行比较。参与者被分成五人一组的团队，要求他们生成一个无人机机队并规划将包裹递送到给定客户市场的路线。这些团队由人类或AI外部流程经理指导。实验进行到一半时，客户市场意外发生变化，要求团队调整他们的策略。在实验过程中，参与者可以创建、评估、分享他们的无人机设计和送货路线，并通过一个名为HyForm的协作研究平台使用文本聊天工具与团队成员进行交流。该研究平台收集设计团队角色和流程经理中参与者的行动和交流的逐步骤日志。本文展示了为分配到31个设计团队的171名参与者收集的数据集，其中15个团队由AI代理指导（每个团队5名参与者），16个团队由人类经理指导（每个团队6名参与者）。这些数据集可用于数据驱动设计、行为分析、基于序列的分析和自然语言处理。
