Dataset for Design Ideation Study

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Abelson, Filip Gornitzka; Dybvik, Henrikke; Steinert, Martin, 2021, "Dataset for Design Ideation Study", https://doi.org/10.18710/PZQC4A, DataverseNO, V1, UNF:6:1NVkv2+s87SAf1qR8RRwvg== [fileUNF]

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Description	Study information 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. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup: 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. DOI Dataset 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. All data is described thoroughly in `00_ReadMe.txt`. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV). All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5) Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5) Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV) Raw API response for each transcription. These files include time offset for each word in a recording. (JSON) Data for questionnaire feedback and ideas generated during the experiment. (CSV) Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. (2021-07-19)
Subject	Engineering; Other
Keyword	Eye tracking, Design ideation, Analogical reasoning
License/Data Use Agreement	CC0 1.0

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	1 to 10 of 15 Files	Original Format Archival Format (.tab)
	00_ReadMe.txt Plain Text - 12.8 KB Published Jul 21, 2021 45 Downloads MD5: 612bfe30862c48109d027080d15d4a78	Preview "00_ReadMe.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	consent_form.pdf Adobe PDF - 32.5 KB Published Jul 21, 2021 26 Downloads MD5: d7ff978279ef4d8aa5420d25c5408f7a	Preview "consent_form.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	api_responses.zip audio_data/ZIP Archive - 567.9 KB Published Jul 21, 2021 16 Downloads MD5: 4b6d92201e98bae3e2c6c9d796590763 Zipped folder of all responses from Google Speech-to-Text API.	Preview "audio_data/api_responses.zip" Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	transcription_dataset.tab audio_data/Tabular Data - 288.2 KB Published Jul 21, 2021 23 Downloads 8 Variables, 576 Observations UNF:6:LY6D54HICU9/tIZwo9AAig==	Preview "audio_data/transcription_dataset.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	feedback.tab eye_tracking_data/Tabular Data - 7.3 KB Published Jul 21, 2021 20 Downloads 9 Variables, 288 Observations UNF:6:C3spgEEPHNRMt+7DsVYGXw==	Preview "eye_tracking_data/feedback.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	all_annotations.tab eye_tracking_data/all_data/Tabular Data - 749.3 KB Published Jul 21, 2021 24 Downloads 23 Variables, 7156 Observations UNF:6:mtAMh5nkzSmd7jLTgiij+w==	Preview "eye_tracking_data/all_data/all_annotations.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	all_blinks.tab eye_tracking_data/all_data/Tabular Data - 1.8 MB Published Jul 21, 2021 22 Downloads 6 Variables, 23814 Observations UNF:6:cfP4uWyUFw/5eIOrP5goYQ==	Preview "eye_tracking_data/all_data/all_blinks.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	all_fixations.h5 eye_tracking_data/all_data/Hierarchical Data Format - 46.9 MB Published Jul 21, 2021 21 Downloads MD5: b86b65583cf505644a26b66e20b9fbf4	Access File File Access Public Download Options Hierarchical Data Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	all_gaze.h5 eye_tracking_data/all_data/Hierarchical Data Format - 515.7 MB Published Jul 21, 2021 19 Downloads MD5: c8dc29efda492f76ef8d0e9e55ffa330	Access File File Access Public Download Options Hierarchical Data Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	all_pupillometry.h5 eye_tracking_data/all_data/Hierarchical Data Format - 487.0 MB Published Jul 21, 2021 19 Downloads MD5: b1b38d97379804a343b1f804180cf7fa	Access File File Access Public Download Options Hierarchical Data Format Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18710/PZQC4A
Publication Date	2021-07-21
Title	Dataset for Design Ideation Study
Author	Abelson, Filip Gornitzka (TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU)) - ORCID: 0000-0002-2084-9111 Dybvik, Henrikke (TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU)) - ORCID: 0000-0003-1076-9684 Steinert, Martin (TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU)) - ORCID: 0000-0002-8366-0201
Point of Contact	Use email button above to contact. Abelson, Filip Gornitzka (TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU)) Dybvik, Henrikke (TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU))
Description	Study information 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. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup: 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. DOI Dataset 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. All data is described thoroughly in `00_ReadMe.txt`. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV). All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5) Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5) Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV) Raw API response for each transcription. These files include time offset for each word in a recording. (JSON) Data for questionnaire feedback and ideas generated during the experiment. (CSV) Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. (2021-07-19)
Subject	Engineering; Other
Keyword	Eye tracking Design ideation Analogical reasoning
Language	English
Producer	TrollLABS https://www.ntnu.edu/mtp/laboratories/trolllabs
Production Date	2021
Production Location	Trondheim, Norway
Contributor	Data Collector : Abelson, Filip Gornitzka Supervisor : Dybvik, Henrikke Supervisor : Steinert, Martin
Distributor	NTNU – Norwegian University of Science and Technology (NTNU – Norwegian University of Science and Technology) (NTNU) https://dataverse.no/dataverse/ntnu
Depositor	Abelson, Filip Gornitzka
Deposit Date	2021-07-19
Date of Collection	Start Date: 2021-06-11 ; End Date: 2021-06-21
Data Type	Eye tracking data; Audio transcriptions; Survey data
Software	Pupil Capture, Version: 3.3.0 Psychopy, Version: 2021.1.4 Python, Version: >3.6
Related Material	https://doi.org/10.5281/zenodo.5130090
Related Dataset	https://hdl.handle.net/11250/2765034
Other Reference	https://doi.org/10.1016/j.destud.2018.07.001

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Dataset for Design Ideation Study

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