cff-version: 1.2.0
abstract: "<p>This dataset comprises five sets of data collected throughout&nbsp;the&nbsp;PhD Thesis project&nbsp;of Pelin Esnaf-Uslu.</p><p>&nbsp;</p><p>Esnaf-Uslu, P.&nbsp;(2024). Design for Interpersonal Mood Regulation:&nbsp;Introducing a Framework and Three Tools to Support Mood-Sensitive Service Encounters.&nbsp;(Doctoral dissertation in review). Delft University of Technology, Delft, the Netherlands.</p><p>&nbsp;</p><p>The research in this thesis is based on the premise that service providers can enhance their effectiveness in client interactions by acquiring a detailed understanding of IMR strategies and effectively applying this knowledge. To achieve this overall aim, the current research aimed to explore (1) the current role of mood in service encounters, (2) the IMR strategies used by service providers during service encounters in response to client’s moods, (3) how IMR strategies can be facilitated by means of tools for service providers and the (4) strengths and limitations of the developed materials.</p><p>&nbsp;</p><p>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.</p><p>&nbsp;</p><p>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.</p><p>&nbsp;</p><p><strong>Chapter_2:&nbsp;</strong>This&nbsp;study&nbsp;investigates&nbsp;the role of mood in service encounters. Samples are collected from service providers experiences during service encounters and in-depth interviews are conducted.&nbsp;The dataset includes the&nbsp;blank diary and the&nbsp;interview protocol.</p><p>&nbsp;</p><p><strong>Chapter_3:&nbsp;</strong>This study investigates the clarity of the images developed representing Interpersonal Mood Regulation (IMR) strategies. The dataset includes anonymized scores from 27 and 29 participants, showing the associations between images representing nine IMR strategies and their corresponding labels and descriptions, along with the free descriptions provided by the participants. Additionally, the dataset contains a screenshot of the workshop material used in the implementation study.</p><p>&nbsp;</p><p><strong>Chapter_4:&nbsp;</strong>This study examines the clarity of developed videos depicting IMR strategies. The dataset includes anonymized scores from 32 participants, showing the associations between videos depicting nine IMR strategies and their corresponding labels and descriptions, along with the free descriptions provided by the participants. In addition, the dataset contains the workshop guideline developed for the implementation study.</p><p>&nbsp;</p><p><strong>Chapter_5:&nbsp;</strong>This study evaluates the clarity of character animations depicting Interpersonal Mood Regulation (IMR) strategies. The dataset includes anonymized scores from 39 participants, demonstrating the associations between videos illustrating nine IMR strategies and their corresponding labels and descriptions, along with the free descriptions provided by the participants.</p><p>&nbsp;</p><p><strong>Chapter_6:&nbsp;</strong>This dataset comprises correspondence analysis files for each material, created for the purpose of comparison.</p><p>&nbsp;</p><p>All the data is anonymized by removing the names of individuals and institutions.&nbsp;</p>"
authors:
  - family-names: Esnaf-Uslu
    given-names: Pelin
    orcid: "https://orcid.org/0000-0003-1710-8459"
  - family-names: Desmet
    given-names: Pieter M. A.
    orcid: "https://orcid.org/0000-0002-0244-5359"
  - family-names: Schifferstein
    given-names: Rick
    orcid: "https://orcid.org/0000-0002-3424-7138"
title: "Supplementary data files for the PhD thesis &#34;Design for Interpersonal Mood Regulation: Introducing a Framework and Three Tools to Support Mood-Sensitive Service Encounters&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/8a9b21b2-6411-42ed-a0e4-05be50fc5a69.v1
license: CC BY-NC-ND 4.0
date-released: 2024-06-14