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Contents

  • See you_draw_it_data.db.

  • Completed studies:

  • Tables

    • experiment_details
      • experiment: provides the graphical experiment name, emily-you-draw-it-pilot-app.
      • question: what question are the participants being asked? Use your mouse to fill in the trend in the yellow box region.
      • ydipp: you draw it's per plot, 12 (8 log scale; 4 eyefitting).
      • trials_req: number of trieals required for participant to move on to the experiment, 0.
    • exp_parameter_details
      • parm_id: unique parameter combination ID for exponential data, exp_1, exp_2, exp_3, exp_4.
      • beta: beta parameter used to simulate exponential point data, 0.1, 0.23.
      • sd: standard deviation used to generate exponential point data errors, 0.09, 0.25.
      • points_end_scale: parameter indicating how far along the x-domain to simulate points, 0.5, 0.75.
      • points_choice: parameter indicating how far to show points in the you draw it plot, partial.
      • N: number of points to generate along the exponential trend, N = 30.
      • aspect_ratio: aspect ratio of the you draw it plot, 1.
      • free_draw: allow free draw on the you draw it plot, FALSE.
      • x_min: minimum x value to simulate data from, 0.
      • x_max: maximum x value to simulate data to, 20.
      • x_by: step of x values to simulate data from, also determines the increment of user data outputted, 0.25.
      • ymin_scale: lower end buffer on y-axis, 0.5 (implies min(y)*0.5)
      • ymax_scale: upper end buffer on y-axis, 2 (implies max(y)*2).
      • draw_start_scale: where along the x-axis should the user begin drawing 0.5 (implies 20*0.5 = 10)
    • eyefitting_parameter_details see README.md Treatment Design
      • parm_id: unique parameter combination ID for eye fitting straight lines data S, F, V, N
      • y_xbar: parameter indicating the y-value at the mean of the x values.
      • slope: parameter indicating the slope of the line.
      • sigma: parameter indicating the standard deviation of the point data errors.
      • x_min: minimum x value to simulate data from, 0.
      • x_max: maximum x value to simulate data to, 20.
    • simulated_data
      • dataset: indicates whether the given x/y values correspond to the point data or line data
      • parm_id: provides the unique parameter combination ID exp_1, exp_2, exp_3, exp_4, S, F, V, N.
      • x: x values for the entire simulated data set.
      • y: corresponding y values for the entire simulated data set (points or lines)
      • ip_address: (hashed for privacy): unique identifier for the computer being used to complete the experiment.
      • nick_name: (hashed for privacy): unique identifier combining the user's ip_address, screen resolution, etc.
      • study_starttime: indicates the time participant begin the study, used for unique identification of run.
    • feedback
      • parm_id: provides the unique parameter combination ID exp_1, exp_2, exp_3, exp_4, S, F, V, N.
      • x: x values of the points drawn by the user.
      • y: y values of the actual fitted line (by lm or nls) corresponding to the y values.
      • ydrawn: y values as drawn by the user line (participant) corresponding to the x values.
      • linear: indicates whether the data was drawn on the linear or log scale true/false.
      • ip_address: (hashed for privacy): unique identifier for the computer being used to complete the experiment.
      • nick_name: (hashed for privacy): unique identifier combining the user's ip_address, screen resolution, etc.
      • study_starttime: indicates the time participant begin the study, used for unique identification of run.
      • start_time: time in which the participant began predicting that particular you draw it plot
      • end_time: time in which the participant completed predicting that particular you draw it plot.
    • users
      • nick_name: (hashed for privacy): unique identifier combining the user's ip_address, screen resolution, etc.
      • study_starttime: indicates the time participant begin the study, used for unique identification of run.
      • age: indicates the participants age range.
      • gender: indicates the gender the participant identifies by.
      • academic_study: indicates the level of education the participant has completed.
      • recruitment: indicates how the participant was recruited for the study.
      • ip_address: (hashed for privacy): unique identifier for the computer being used to complete the experiment.