{
"cells": [
{
"cell_type": "markdown",
"source": [
"# Figures - \"Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility\"\n",
"\n",
"Niek Beckers, Luciano Cavalcante Siebert, Merijn Bruijnes, Catholijn Jonker, David Abbink\n",
"\n",
"This code generates figures 2-5. Some post-processing is needed (we used Inkscape).\n",
"\n",
"Color not distracted (HEX): #33a02c"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"\n",
"save_figures = False"
]
},
{
"cell_type": "code",
"execution_count": 2,
"outputs": [
{
"data": {
"text/plain": " id scenario duration Intentionality aware ability actor \\\n0 2 short_intentional short Intentional 69 54 robyn \n1 6 short_intentional short Intentional 9 8 robyn \n2 19 short_intentional short Intentional 24 52 robyn \n3 24 short_intentional short Intentional 43 70 robyn \n4 26 short_intentional short Intentional 60 50 robyn \n\n responsibility \n0 65 \n1 85 \n2 75 \n3 71 \n4 75 ",
"text/html": "\n\n
\n \n \n | \n id | \n scenario | \n duration | \n Intentionality | \n aware | \n ability | \n actor | \n responsibility | \n
\n \n \n \n | 0 | \n 2 | \n short_intentional | \n short | \n Intentional | \n 69 | \n 54 | \n robyn | \n 65 | \n
\n \n | 1 | \n 6 | \n short_intentional | \n short | \n Intentional | \n 9 | \n 8 | \n robyn | \n 85 | \n
\n \n | 2 | \n 19 | \n short_intentional | \n short | \n Intentional | \n 24 | \n 52 | \n robyn | \n 75 | \n
\n \n | 3 | \n 24 | \n short_intentional | \n short | \n Intentional | \n 43 | \n 70 | \n robyn | \n 71 | \n
\n \n | 4 | \n 26 | \n short_intentional | \n short | \n Intentional | \n 60 | \n 50 | \n robyn | \n 75 | \n
\n \n
\n