1. Title of the dataset: 
qualitative data analysis of the participants' quotations, field study of Grippy, PhD thesis - Get a grip on stress: Designing smart wearables as partners in stress management

2. Type of data: 
quotations of participants

3. Methodological information:
This dataset presents the results of qualitative data analysis of a field study of a research prototype, Grippy, which is a wearable system aiming to help people manage daily stress. The dataset was a result of the qualitative data analysis following the method of "qualitative content analysis" (Hsieh & Shannon, 2005). The raw data (quotations of participants) were obtained from verbatim transcription of the audio-recording of interviews with participants (n=6). The responsible researcher went through all the transcription iteratively to select and categorise the quotations according to three themes: “framing”, “embedding” and “transformation". Framing involves understanding how Grippy was interpreted and interacted with as a smart wearable; embedding addresses the question about how the use of Grippy became integrated in people’s everyday activities and daily routines; transformation refers to how a partnership with Grippy could be seen to develop and hereby shed light on the way in which Grippy provided support. Detailed explanation of the themes can be found in (Rozendaal et al., 2019). All the interview data was analysed through the software Atlas.ti (version: 8.4.5) and later on transferred into an Excel file (version: 16.16.27), as presented in this dataset.

4. Data specific information:
This Excel file contains three sheets, each titled by the corresponding theme (framing, embedding and transformation). In each sheet, the quotations are further categorised into 'topics' and 'codes', as sub-aspects of the three major 'themes'.

5. Sharing and access information:
The use of this dataset follows the license of Public Domain Dedication (CC0).

References:
Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative
Health Research, 15(9), 1277–1288.
Rozendaal, M. C., Boon, B., & Kaptelinin, V. (2019). Objects with intent: Designing everyday things as
collaborative partners. ACM Transactions on Computer-Human Interaction (TOCHI), 26(4), 1–
33.