This codebook.txt file was generated on <2018-04-20> by Lisa Johnston ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Behavioral Measures for 48 Participants in Work-Zone Messaging Driving Simulation Study collected in 2016 at the University of Minnesota 2. Author Information Principal Investigator Contact Information Name: Morris, Nichole L Institution: University of Minnesota HumanFIRST Lab Address: Email: nlmorris@umn.edu Associate or Co-investigator Contact Information Name: Craig, Curtis Institution: University of Minnesota HumanFIRST Lab Address: Email: 3. Date of data collection: 2016-07-15 to 2016-08-24 4. Geographic location of data collection: n/a 5. Information about funding sources that supported the collection of the data: MnDOT Contract Number 99008, Work Order Number 184 -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal 2. Links to publications that cite or use the data: 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? If yes, list source(s): 6. Recommended citation for the data: Craig, Curtis, M; Morris, Nichole L. (2018). Behavioral Measures for 48 Participants in Work-Zone Messaging Driving Simulation Study collected in 2016 at the University of Minnesota. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/D6610M. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: SD Speeds All and Events.csv Short description: Speed and speed deviations Long description: SD Speed file averaged out speed for each interface (PCMS/AO/AV) for overall drives and events, while also separately accounting for speed deviations (speed SD). B. Filename: Lane SD All and Events.csv Short description: Lane deviations as measured in standard deviations Long Description: There were only lane deviations (SD) in the Lane SD file, and no overall measure of lane keeping “average” as deviations are the measure of interest. C. Filename: wzm_mapps.csv Short description: Eyetracking fixation data 2. Relationship between files: The files all reflect some form of behavioral data. They are separated because each were involved in separate classes of analyses, one with speed, one with lane deviation, and one with eye gaze fixations. 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? no -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Participants used a partial motion-based driving simulator made by Realtime Technologies, Inc. Participants drove the two work zone routes for each condition of message modality (counterbalanced). Each drive took approximately 10 minutes to complete. During each drive, five work zone messages were communicated, specific to that route (e.g., active work zone, crash ahead). Eye-tracking technology was employed to measure visual gaze patterns. The Smart Eye AB (Gothenburg, Sweden) four-camera eye tracking system was used in the driving simulator. 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret the data: The data files are comma separated values (.csv) files that can be opened in Excel and similar spreadhsheet programs. There are three files, comprising speed and speed variation data, lane deviation data, and eye tracking fixation counts on the messaging interface. For the driving performance variables, CN, CS, AN, AS, AVN, and AVS all refer to Control (PCMS) Northbound (Shoulder Work work zone), Control Southbound (Lane Closure work zone), Audio-only interface northbound, audio-only southbound, audio-visual interface northbound, and audiovisual southbound. Position indicates the placement of the smartphone interface, with 1 reflecting dashboard placement, and 2 reflecting passenger seat placement. Events reflect messaging events in the simulated work zone. Finally, in the eye-tracking dataset, position 1 and 2 is the same as the other data sets, while Interface 1 is control/PCMS, 2 is audio-only, 3 is audio-visual. DriveBound 1 is northbound/shoulderwork, and DriveBound 2 is southbound/laneclosure. TotalN is number of fixations on interface. 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: SD Speeds All and Events.csv ----------------------------------------- 1. Number of variables: 49 2. Number of cases/rows: 49 3. Codes used: Blank Cell = (row 7) Data recording / driving simulation failed for this participant on that condition (audio-visual messages while driving southbound). SD_Speed = Standard deviation of speed. EventAll = Average value for all events in that condition. All_SD_Speed = Average value for the duration of the drive, including event and non-event portions. Units for this file are in Meters per second. 4. Variable List: Position Definition: the placement of the smartphone interface Code 1 = dashboard placement Code 2 = passenger seat placement CN Definition: Control (PCMS) Northbound (Shoulder Work work zone) CS Defintion: Control Southbound (Lane Closure work zone) AN Defintion: Audio-only interface northbound AS Defintion: audio-only southbound AVN Defintion: audio-visual interface northbound AVS Defintion: audiovisual southbound ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Lane SD All and Events.csv ----------------------------------------- 1. Number of variables: 49 2. Number of cases/rows: 43 3. Codes used: Blank Cell = (row 7) Data recording / driving simulation failed for this participant on that condition (audio-visual messages while driving southbound). SD_Speed = Standard deviation of speed. EventAll = Average value for all events in that condition. All_SD_Speed = Average value for the duration of the drive, including event and non-event portions. Units for this file are in Meters. 4. Variable List Position Definition: the placement of the smartphone interface Code 1 = dashboard placement Code 2 = passenger seat placement CN Definition: Control (PCMS) Northbound (Shoulder Work work zone) CS Defintion: Control Southbound (Lane Closure work zone) AN Defintion: Audio-only interface northbound AS Defintion: audio-only southbound AVN Defintion: audio-visual interface northbound AVS Defintion: audiovisual southbound ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: wzm_mapps.csv ----------------------------------------- 1. Number of variables: 5 2. Number of cases/rows: 137 3. Codes used: n/a 4. Variable List Position Definition: the placement of the smartphone interface Code 1 = dashboard placement Code 2 = passenger seat placement Interface Definition: This is the messaging interface condition, a within-subjects variable in which for some drives, participants were shown messages either through the roadside sign (1; PCMS), the audio only portion of the smartphone (2) or both audio and visual messages through the smartphone (3). Code 1 = control/PCMS Code 2 = audio-only Code 3 = audio-visual DriveBound Definition: This is the direction of the drive, there was a different work zone for these drives. This is a within subjects variable. The northbound drive (1) had participants drive through a shoulder-work work zone. The southbound drive (2) had participants drive through a lane closure work zone. Code 1 = northbound/shoulderwork Code 2 = southbound/laneclosure totalN Definition: number of fixations on interface. This number (total Number) was taken over the entire message/event condition (over time), but there is no explicit time unit. Subject Definition: This is the subject number to keep track within-subject variability for repeated measures / within subjects variables. Position is between subjects, so similar subject numbers do not reflect the same individual (e.g., Position 1, Subject 1, is a different subject than Position 2, Subject 1).