Subjective and objective data from the master thesis "Exploring the Effect of Automation Failure on the Human's Trustworthiness in Human-Agent Teamwork"

Contains the answers to the questionnaire from qualtrics and the results from the analysed objective measurements. Questions are given at the top row. - scenario: 1 means no automation failure, 2 means automation failure (during "post") - trust: 1-5 Likert - liking: 1-5 Likert - propensity: 1-5 Likert - trustworthiness: -100-100 sliding scale <br> The participant first answers the questions about their gender, age and gaming experience, where they receive the scenario number. Then they play the tutorial. Then they play the first game. This game is the same for every scenario: they have to move boxes in the correct order to the dropzone. There are three types of boxes: light, medium, and heavy. Light can only be carried alone, medium can be carried either alone or together, but carrying it alone slows you down, heavy can only be carried together. An automation walks around trying to help. Whenever you as a human need help or the automation needs help, you can press the help button and the robot comes to you, or you see that the robot needs help by the red exclamation mark next to its head. <br> During the second game, the robot fails if you have scenario 2. In scenario 1, the robot behaves the same as in the first game. <br> Measurements are taking after the first game ("mid"-) and after the second game ("post"-). Only during the second game is there automation failure. This happens in terms of the automation breaking boxes (letting a box go while either holding it with the human or without), picking up the wrong box, dropping a box into the wrong location, asking for help at the wrong box. Objective measures are: - broken boxes (how many boxes they broke) per robot or participant - ask for help (how many times an agent asked for help) per robot or participant - respond to help (how many times an agent responded to the call for help) per robot or participant - carried together (how many times they carried a box together) - carried alone (how many times the participant carried a box alone) - response (how long it took in seconds for the participant to respond to the call for help of the robot) <br> <br>

本数据集收录了来自Qualtrics平台的问卷作答数据，以及经分析处理的客观测量结果。问卷题目置于表格首行。
场景编号规则：1代表无自动化故障，2代表发生自动化故障（故障发生于"post"（后置）环节）；信任度（trust）采用1-5级李克特（Likert）量表，好感度（liking）采用1-5级李克特量表，倾向性（propensity）采用1-5级李克特量表，可信度（trustworthiness）采用-100至100的滑动评分量表。

参与者首先填写性别、年龄与游戏经历相关问卷，同时获知自身被分配的场景编号。随后完成教程练习，再进行第一局游戏。所有参与者的第一局游戏内容完全一致：需将不同类型的箱子按正确顺序搬运至投放区。箱子共分为三类：轻型、中型与重型。轻型箱子仅可单人搬运；中型箱子可单人或双人搬运，但单人搬运会降低移动速度；重型箱子仅可双人搬运。场景中设有一台自动化协助设备，在场地内巡回提供协助。当人类玩家需要协助，或自动化设备需要帮助时，玩家可按下求助按钮召唤机器人；玩家也可通过机器人头部旁的红色感叹标识，识别到机器人当前处于需协助状态。

第二局游戏环节：若参与者对应的场景编号为2，则第二局游戏中机器人会发生故障；若为场景1，则机器人的行为与第一局完全一致。

数据分别在第一局游戏结束后（标注为"mid"-）与第二局游戏结束后（标注为"post"-）进行采集。仅在第二局游戏中会触发自动化故障，具体表现为：自动化设备损坏箱子（在与人类玩家共同握持或单独握持时松开箱子）、误拾取箱子、将箱子投放至错误位置、在非对应箱子旁发起求助请求。

客观测量指标包括：
1. 机器人/参与者的损坏箱子总数
2. 机器人/参与者的求助请求次数
3. 机器人/参与者的求助响应次数
4. 双人协作搬运箱子的总次数
5. 参与者单人搬运箱子的总次数
6. 参与者响应机器人求助请求的耗时（单位：秒）