This readme.txt file was generated on 2023-04-07 by Tila, Tahrim Zaman [edited by data curator 20230414] Recommended citation for the data: Seecharan, Turuna; Tila, Tahrim Zaman. (2023). EDA Driving Data and Survey Responses. Retrieved from the Data Repository for the University of Minnesota. https://hdl.handle.net/11299/253600. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: EDA Driving Data and Survey Responses 2. Author Information Author Contact: Turuna Seecharan (tseechar@d.umn.edu) Name: Turuna Seecharan Institution: University of Minnesota Duluth Email: tseechar@d.umn.edu ORCID: 0000-0002-4573-031X Name: Tahrim Zaman Tila Institution: University of Minnesota Duluth Email: zaman045@d.umn 3. Date published or finalized for release: 2023-04-05 4. Date of data collection (single date, range, approximate date): 2022-08-30 to 2023-03-04 5. Geographic location of data collection (where was data collected?): Duluth, MN 6. Information about funding sources that supported the collection of the data: Data collected was supported by Dr. Seecharan's start-up funds. 7. Overview of the data (abstract): To find the relation between drivers’ stress levels and driving performance, two types of data were collected: drivers’ stress data, as known as Electrodermal Activity (EDA) Data, and vehicles’ engine data. The purpose of this study is to investigate how drivers’ driving performance changes in higher-stressed situations. 8. Digital record image credits Nick Richards, "Wearable technology," https://creativecommons.org/licenses/by-sa/2.0/ Downloaded from Flickr: https://www.flickr.com/photos/nedrichards/2296073674/in/photolist-4uTYH9-nAQXU2-bmXRUc-nCC6hR-nAQY9v-2j99BSX-njmnzA-aeDos4-nAR77d-njmrqa-2obLrrt-728yAE-2mboZ2F-iwtiid-2j9cRW1-2hPKGPC-2j9ecMY-2hn2obW-nr6ZDf-2j9wGhE-6LzhPk-8fsDt6-2o1PNkR-pPT2od-q57SuA-bmZ3bV-8MhETE-8Meyx2-8MhCgd-c4c9pj-8MeBqD-fc6yKh-8MhDk1-2j98hhL-bmYuJr-23JkcLB-c9URFQ-2o1LPEx-9Nz3As-p6qox4-2j9vnzR-2objopq-bmXXEc-8MhEzA-q9Mjrd-bmYBBR-edSRiG-2obLEWY-2j9c5V4-5sNxMN -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/ 2. Links to publications that cite or use the data: Tila, T.Z., Seecharan, T.S. (2023). Using Wearable Sensors to Form a Relationship Between Driver Stress and Aggressive Driving Habits. In 16th WCEAM Proceedings. WCEAM 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-25448-2_32 Tila, T.Z., Seecharan, T.S. Analysis of driver stress on aggressive driving habits using wearable sensors. (Under Review) 3. Was data derived from another source? EDA data was uploaded to E4 connect and downloaded as a .csv file for analysis. Engine data was uploaded from the telematics device to Geotab's cloud website and then downloaded as a .csv file for analysis. 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- File List Filename: EDA Dataset.xlsx Short description: Electrodermal Activity Raw Data Filename: Engine Dataset.xlsx Short description: Engine Data Filename: Survey Responses.xlsx Short description: Survey Responses Filename: EDA Features.xlsx Short description: Electrodermal Activity Features Data -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: EDA and engine dataset are collection of raw data from E4 wristband and telematics device respectively. EDA features data were generated by using 'FLIRT' toolkit. 2. Methods for processing the data: EDA features were generated using 'FLIRT' toolkit and python from the raw EDA.csv file downloaded from E4 connect account. 3. Environmental/experimental conditions: Sessions were done under any environmental situation. Data were collected while driving vehicles. 4. People involved with sample collection, processing, analysis and/or submission: Dr. Turuna Seecharan, Tahrim ZAMAN TILA ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: EDA Dataset.xlsx ----------------------------------------- 1. Number of variables: 7 2. Number of cases/rows: 572205 3. Missing data codes: Code/symbol Definition Code/symbol Definition 4. Variable List A. Name: Driver Description: Participant id B. Name: TripNo Description: Driving session number for each participant. The first session is '1', second session is '2' and so on. C. Name: Time id Description: Chronological time id to keep track of time D. Name: EDA Description: Raw EDA data collected by E4 wristband and downloaded as a .csv file from E4 Connect account. E. Name: Time increment (seconds) Description: Increment of time in seconds. Each second was divided into 4 by 0.25 increment as we get 4 EDA data for each second. F. Name: Time increment (hours) Description: Increment of time in hours to help organizing the date time data G. Name: Date Time Description: Date and time of EDA data collection. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Engine Dataset.xlsx ----------------------------------------- 1. Number of variables: 5 2. Number of cases/rows: 19402 3. Missing data codes: none 4. Variable List A. Name: DriverID Description: Participant id B. Name: TripID Description: Driving session number for each participant. The first session is '1', second session is '2' and so on. C. Name: datetime Description: Date and time of engine data collection D. Name: description Description: 'LongAcc' and 'AccX' are forward acceleration with a positive value and braking with a negative value, EngSpeed is the speed of engine in kmph. E. Name: value Description: value of respective description in previous column. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Survey Responses.xlsx ----------------------------------------- 1. Number of variables: 7 2. Number of cases/rows: 89 3. Missing data codes: none 4. Variable List A. Name: Q1/Participant Description: Question 1 for survey. Participant id. B. Name: Trip id Description: Driving session number for each participant. The first session is 'Trip 1', second session is 'Trip 2' and so on. C. Name: Q2 Description: Question 2 for survey. Date and time for driving session. D. Name: Q3 Description: Question 3 for survey. Mood of participant before driving session. E. Name: Q4 Description: Question 4 for survey. Mood of participant after driving session. F. Name: Q5 Description: Question 5 for survey. Choices for any events occurred while driving. G. Name: Q6 Description: Option for including more information if any stress-related events occurred while driving. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: EDA Features.xlsx ----------------------------------------- 1. Number of variables: 14 2. Number of cases/rows: 90 3. Missing data codes: none 4. Variable List A. Name: Driver Description: Participant id B. Name: Trip Description: Date and time of driving session C. Name: Base Phasic Mean Description: Mean of baseline Phasic data of one driving session. D. Name: High Phasic Mean Description: Mean of high Phasic data of one driving session. E. Name: Base Tonic Mean Description: Mean of baseline Tonic data of one driving session. F. Name: High Tonic Mean Description: Mean of high Tonic data of one driving session. G. Name: Base Phasic std Description: Standard deviation of baseline Phasic data of one driving session. H. Name: High Phasic std Description: Standard deviation of high Phasic data of one driving session. I. Name: Base Tonic std Description: Standard deviation of baseline Tonic data of one driving session. J. Name: High Tonic std Description: Standard deviation of high Tonic data of one driving session. K. Name: Base Phasic max Description: Max of baseline Phasic data of one driving session. L. Name: High Phasic max Description: Max of high Phasic data of one driving session. M. Name: Base Tonic max Description: Max of baseline Tonic data of one driving session. N. Name: High Tonic max Description: Max of high Tonic data of one driving session.