Supplementary data files for the PhD thesis "Dancing the Vibe: Designerly Exploration of Group Mood in Work Settings"

This dataset comprises five sets of data collected throughout of Alev Sönmez’s PhD Thesis project: Sönmez, A. (2024). Dancing the Vibe: Designerly Exploration of Group Mood in Work Settings. (Doctoral dissertation in review). Delft University of Technology, Delft, the Netherlands.<br>This thesis aims to contribute to the granular understanding of group mood by achieving three objectives,each representing a key research question in the project: (1) to develop a descriptive overview of nuanced group moods, (2) to develop knowledge and tools to effectively communicate nuanced group moods, and (3) to develop knowledge and insights to facilitate reflection on group mood. The research was guided by the following research questions: (1) What types of group moods are experienced in small work groups? (2) How can nuanced group moods be effectively communicated? (3) How can group mood reflection be facilitated?<br>This research was supported by VICI grant number 453-16-009 from The Netherlands Organization for Scientific Research (NWO), Division for the Social and Behavioral Sciences, awarded to Pieter M. A. Desmet.<br>The data is organized into folders corresponding to the chapters of the thesis. Each folder contains a README file with specific information about the dataset.<br><strong>Capter_2_PhenomenologicalStudy:</strong> This dataset conssists of anonymized transcriptions of co-inquiry sessions where 5 small project groups described the group moods they experienced in their eight most recent meetings. Additonaly, we share the observation notes wwe collected in those meetings, the maps filled in during the co-inquiry sessions, the materials used to collect data, and the coding scheme used to analyze the group mood descriptions.<br><strong>Chapter_3_ImageEvaluationStudy:</strong> This dataset consists of anonymized scores from 38 participants indicating the strength of the association between eight group mood–expressing images and 36 group mood qualities, along with their free descriptions of the group moods perceived in those images. Addtioanlly we share the questionnaire design, the eight images, and the data processing files (t-test, correspondence analysis outputs, free description coding, heat map).<br><strong>Chapter_4_VideoEvaluationStudy: </strong>This dataset consists of anonymized scores from 40 participants indicating the strength of the association between eight group mood–expressing videos and 36 group mood qualities, along with their free descriptions of the group moods perceived in those videos. Addtioanlly we share the questionnaire design, and the data processing files (t-test, correspondence analysis outputs, free description coding, heat map) and data processing files to compare the image and video set (PCA output, and image-video HIT rate comparison table).<br><strong>Chapter_5_CardsetInterventionStudy: </strong>This dataset consists of anonymized written responses from each of the 12 project teams, along with notes taken during a plenary session with these teams, evaluating the efficacy of the intervention on their group mood management.<br><strong>Chapter_6_WorkshopEvaluationStudy: </strong>This dataset consists of Anonymized transcriptions of five small work teams reflecting on their lived group mood experiences following the steps of an embodiment workshop we designed, including their takeaways from the workshop and discussions evaluating the workshop's efficacy in stimulating reflection and the overall experience of the workshop.<br>All the data is anonymized by removing the names of individuals and institutions. However, the interviews contain details where participants shared personal information about themselves, colleagues, and company dynamics. Therefore, the data should be handled with extra care to ensure that participant privacy is not put in danger. Contact [e-mail] (Natalia Romero Herrera) to request access to the dataset.

本数据集包含Alev Sönmez博士论文项目中采集的五组数据：Sönmez, A. (2024). 《舞动氛围：工作场景中群体情绪的设计探索》（博士学位论文，待审）。代尔夫特理工大学，荷兰代尔夫特。

本论文旨在通过达成三项核心研究目标，实现对群体情绪的精细化理解，每项目标对应项目中的一个关键研究问题：(1) 构建精细化群体情绪的描述性框架；(2) 开发可有效传递精细化群体情绪的知识与工具；(3) 形成可辅助群体情绪反思的知识与洞察。本研究遵循以下三个研究问题展开：(1) 小型工作群体中存在哪些类型的群体情绪？(2) 如何有效传递精细化群体情绪？(3) 如何辅助开展群体情绪反思？

本研究由荷兰科学研究组织（Netherlands Organization for Scientific Research, NWO）社会与行为科学分部的VICI项目（编号453-16-009）资助，项目负责人为Pieter M. A. Desmet。

本数据集按照论文章节分为对应文件夹，每个文件夹均包含README文件，用于说明该数据集的具体信息。

**第二章：现象学研究（Chapter_2_PhenomenologicalStudy）**：本数据集包含匿名化的共同探究会话（co-inquiry sessions）转录文本，来自5个小型项目团队对其最近8次会议中经历的群体情绪的描述。此外还包含我们在上述会议中采集的观察笔记、共同探究会话中填写的情绪映射表、数据采集所用材料，以及用于分析群体情绪描述的编码方案。

**第三章：图像评估研究（Chapter_3_ImageEvaluationStudy）**：本数据集包含38名参与者的匿名评分数据，用于表征8张群体情绪表达图像与36种群体情绪特质之间的关联强度，同时包含参与者对上述图像中感知到的群体情绪的自由描述文本。此外还提供了问卷设计方案、8张实验用图像，以及数据处理文件（包括t检验、对应分析结果、自由描述编码结果、热力图）。

**第四章：视频评估研究（Chapter_4_VideoEvaluationStudy）**：本数据集包含40名参与者的匿名评分数据，用于表征8段群体情绪表达视频与36种群体情绪特质之间的关联强度，同时包含参与者对上述视频中感知到的群体情绪的自由描述文本。此外还提供了问卷设计方案、数据处理文件（包括t检验、对应分析结果、自由描述编码结果、热力图），以及用于对比图像与视频数据集的处理文件（包括主成分分析（Principal Component Analysis, PCA）结果、图像-视频命中率对比表）。

**第五章：卡片干预研究（Chapter_5_CardsetInterventionStudy）**：本数据集包含12个项目团队的匿名书面反馈，以及我们与这些团队开展全体会议期间采集的笔记，用于评估该干预手段在群体情绪管理中的有效性。

**第六章：工作坊评估研究（Chapter_6_WorkshopEvaluationStudy）**：本数据集包含5个小型工作团队的匿名转录文本，这些团队在参与我们设计的具身工作坊后，对自身的群体情绪实践经历进行反思，文本内容包含他们从工作坊中获得的收获，以及对工作坊在激发反思方面的效果和整体体验的讨论评价。

所有数据均通过移除个人与机构名称完成匿名化处理。但访谈内容中包含参与者分享的关于自身、同事及公司动态的个人信息，因此需格外谨慎处理本数据集，以确保不会泄露参与者隐私。如需申请获取本数据集，请联系[e-mail]（娜塔莉亚·罗梅罗·埃雷拉，Natalia Romero Herrera）。