Data underlying the study on the effects of task allocation using human’s willingness in trust and teamwork.

As machines’ autonomy increases, their capacity to learn and adapt to humans in collaborative scenarios increases too. In particular, machines can use artificial trust (AT) to make decisions, such as task and role allocation/selection. However, the outcome of such decisions and the way these are communicated can affect the human’s trust, which in turn affects how the human collaborates too. With the goal of maintaining mutual appropriate trust between the human and the machine in mind, we ran a user study to investigate the role of task-based willingness (e.g. human preferences on tasks) and its communication in AT-based decision-making. This user study involved the interaction with a 2D grid-world where the participants interacted and collaborated with an artificial agent. During the experiment, objective metrics were collected. Both before the experiment and after each interaction subjective metrics (through questionnaires) and answers to open questions were also collected. We share the data collected and used in our analysis in this repository.This data is used for the publication "I Know You're Capable, But Are You Willing?": Allocating Tasks in Human-Machine Teams.<br>

随着机器自主性的提升，其在协作场景中学习并适配人类的能力也同步增强。具体而言，机器可借助人工信任（Artificial Trust，AT）开展决策，例如任务与角色的分配/遴选。然而，此类决策的结果及其传达方式会影响人类的信任感知，进而反过来影响人类的协作行为。为实现人机之间适度互信的目标，我们开展了一项用户研究，以探究基于任务的意愿（如人类对任务的偏好）及其在基于人工信任的决策中的沟通作用。该项用户研究的实验场景为二维网格世界（2D grid-world），参与者需与一个AI智能体（AI Agent）进行互动协作。实验过程中，我们采集了客观指标；在实验前以及每次互动结束后，我们还通过问卷及开放式问题收集了主观指标与参与者回答。本仓库公开了我们在分析中使用的全部采集数据，该数据将用于论文《“我知晓你具备能力，但你是否愿意？”：人机协作团队中的任务分配》。