Data from experiments of Leveraging Systems and Control Theory for Social Robotics: A Model-Based Behavioral Control Approach to Human-Robot Interaction
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This dataset is a supplement to the article entitled<em> Leveraging Systems and Control Theory for Social Robotics: A Model-Based Behavioral Control Approach to Human-Robot Interaction. </em>More specifically, it contains the data from the experiments performed in the case study of this paper.The objective of the case study was to assess the novel approach to steer the behavior of social robots proposed in the paper.This approach consists of a model-based controller that integrates the model of human behavior developed in http://dx.doi.org/10.1109/ACCESS.2023.3316603 to select the actions of the social robot that optimize the users' mental states.<strong>INCLUDED DATA</strong>│── Raw outputs from sessions│ ├── Replies of participants - session 1 and 2 │ ├── Replies of participants - session 3│ └── Questionnaires 3rd session.xlsx│── Processed results from sessions│ ├── Participants IDed models│ └── video results│── Interaction documents │ ├── Briefing Documents│ └── Experimental DocumentsPlease read the "readme.md" file for further information on the structure of this dataset.<strong>SHARING/ACCESS INFORMATION</strong>Recommended citation for this dataset: Data from experiments of “Leveraging Systems and Control Theory for Social Robotics: A Model-Based Behavioral Control Approach to Human-Robot Interaction”
本数据集为论文《利用系统与控制理论开展社交机器人研究:一种面向人机交互的基于模型的行为控制方法》(Leveraging Systems and Control Theory for Social Robotics: A Model-Based Behavioral Control Approach to Human-Robot Interaction)的补充资料。具体而言,其包含该论文案例研究中开展的全部实验数据。该案例研究的目标为评估本文提出的新型社交机器人行为调控方法,该方法采用一款集成了http://dx.doi.org/10.1109/ACCESS.2023.3316603中开发的人类行为模型的基于模型控制器,以选择可优化用户心理状态的社交机器人动作。 **包含数据** ├─ 会话原始输出 │ ├─ 第1、2轮参与者回复 │ ├─ 第3轮参与者回复 │ └─ 第3轮问卷.xlsx ├─ 会话处理结果 │ ├─ 标注参与者身份的模型 │ └─ 视频结果 └─ 交互文档 ├─ 简介文档 └─ 实验文档 请参阅`readme.md`文件以了解本数据集的详细结构。 **共享与获取说明** 本数据集的推荐引用格式为:《“利用系统与控制理论开展社交机器人研究:一种面向人机交互的基于模型的行为控制方法”配套实验数据》



