DOI: 10.4121/c0202ba2-bdbe-4790-8b80-74baf3a08b4b
title: Supplementary data files for the PhD thesis "Dancing the Vibe: Designerly Exploration of Group Mood in Work Settings"

description: 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 N.A.Romero@tudelft.nl (Natalia Romero Herrera) to request access to the dataset.