10.18710/PZQC4A Abelson, Filip Gornitzka Filip Gornitzka Abelson https://orcid.org/0000-0002-2084-9111 TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU) Dybvik, Henrikke Henrikke Dybvik https://orcid.org/0000-0003-1076-9684 TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU) Steinert, Martin Martin Steinert https://orcid.org/0000-0002-8366-0201 TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU) DataverseNO 2021 Engineering Other Eye tracking Design ideation Analogical reasoning TrollLABS NTNU – Norwegian University of Science and Technology NTNU – Norwegian University of Science and Technology Abelson, Filip Gornitzka Filip Gornitzka Abelson TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU) Dybvik, Henrikke Henrikke Dybvik TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU) Abelson, Filip Gornitzka Filip Gornitzka Abelson Dybvik, Henrikke Henrikke Dybvik Steinert, Martin Martin Steinert 2021 2021-07-19 2021-07-21 2024-02-28 2021-06-11/2021-06-21 Eye tracking data;Audio transcriptions;Survey data 10.18710/PZQC4A/XWOAMK 10.18710/PZQC4A/IMCOY4 10.18710/PZQC4A/HTIGEO 10.18710/PZQC4A/W5KGXI 10.18710/PZQC4A/61CI1I 10.18710/PZQC4A/NOCAC0 10.18710/PZQC4A/KBOQUX 10.18710/PZQC4A/MQ4QRL 10.18710/PZQC4A/FNJUR8 10.18710/PZQC4A/CWC202 10.18710/PZQC4A/F7AWYR 10.18710/PZQC4A/YPC196 10.18710/PZQC4A/PP89JF 10.18710/PZQC4A/KPTM6E 10.18710/PZQC4A/14MJ69 767327 510702725 49209334 540715825 1935109 25860340 272694817 1336354 286920385 295160 7501 581532 2010 33267 13093 text/tab-separated-values application/x-h5 application/x-h5 application/x-h5 text/tab-separated-values application/x-h5 application/x-h5 text/tab-separated-values application/x-h5 text/tab-separated-values text/tab-separated-values application/zip text/tab-separated-values application/pdf text/plain 1.1 Creative Commons CC0 1.0 Universal Public Domain Dedication. <h2>Study information </h2> <p>Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. <br>This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants.</p> <p> The study is based on the following research paper and follows the same experimental setup: <blockquote>Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. <a href="https://doi.org/10.1016/j.destud.2018.07.001">DOI</a></blockquote> </p> <h3>Dataset </h3> <p>Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. </p> <p> All data is described thoroughly in <code>00_ReadMe.txt</code>. The following processed data is included in the dataset: <li>Concatenated annotations file of experimental flow for all participants (CSV).<br> <li>All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5) <li>Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5) <li>Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV) <li>Raw API response for each transcription. These files include time offset for each word in a recording. (JSON) <li>Data for questionnaire feedback and ideas generated during the experiment. (CSV) <li>Data for the post-experiment survey, including demographic information (TSV).</p> <p> Python code used for the open-source experimental setup and dataset construction is hosted at <a href="https://github.com/filiabel/design_ideation_experiment">GitHub</a>. Repository also includes code of how the dataset has been further processed. </p> Pupil Capture, 3.3.0 Psychopy, 2021.1.4 Python, >3.6 Trondheim, Norway