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>

随着机器自主性的不断提升，其在协作场景中学习与适配人类的能力亦同步增强。具体而言，机器可借助人工信任（Artificial Trust, AT）开展任务分配与选择等决策工作。然而，此类决策的结果及其传达方式，会对人类的信任感知产生影响，进而反作用于人类的协作行为。本研究以维持人机间适度的双向信任为目标，开展了一项用户实验，旨在探究基于任务的意愿（如人类对任务的偏好倾向）及其在基于人工信任的决策过程中的沟通作用。本次用户实验的交互场景为二维网格世界（2D grid-world），参与者需与AI智能体（AI Agent）进行互动与协作。实验期间，我们采集了多项客观指标数据；在实验开始前及每次交互结束后，还通过问卷收集了主观指标数据，并记录了开放式问题的作答内容。本仓库共享了本次数据分析所使用的全部采集数据，相关研究成果已发表于论文《"I Know You're Capable, But Are You Willing?": Allocating Tasks in Human-Machine Teams》。