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var centerblock = main.addblock("center","center",90,90),
rface=['rf1.jpeg','rf2.jpeg','rf3.jpeg','rf4.jpeg','rf5.jpeg'],
aface=['af2.jpeg','af3.jpeg','af4.jpeg','af5.jpeg','af7.png'],
robject=['ro1.jpeg','ro2.png','ro3.jpeg','ro4.jpeg','ro5.jpeg'],
aobject=['ao1.png','ao2.png','ao4.png','ao5.png','ao3.jpeg'],
all=[],
face_hits = 0, object_hits=0,
rt_face=0,rt_object=0,
rtf = [],rto=[],
average_face,
average_object,
i,
e;
text("Participation in this experiment is entirely voluntary and you may withdraw at any time. "
+"Press SPACE bar if you would you like to proceed.
",80);
awaitkey("SPACE");
clear();
text("
The experiment might takes 10s to load!
",75);
await(3000);
clear();
preload('af2.jpeg');
preload('af3.jpeg');
preload('af4.jpeg');
preload('af5.jpeg');
preload('af7.png');
preload('ao1.png');
preload('ao2.png');
preload('ao3.jpeg');
preload('ao4.png');
preload('ao5.png');
preload('ro1.jpeg');
preload('ro2.png');
preload('ro3.jpeg');
preload('ro4.jpeg');
preload('ro5.jpeg');
preload('rf5.jpeg');
preload_range('rf{0}.jpeg',1,5);
image.await("preloading_completed");
main.setfontsize(75);
instruction("You will be shown a series of images.
"
+"Some of them are real photographs and some are AI-generated.
"
+"
Press 's' if you think the image is a real photograph.
"
+"
Press 'l' if you think it is AI-generated.
"
+"
Tips: pay attention to details and check distortion.
").align("left");
all = all.concat(rface,aface,robject,aobject);
shuffle(all);
for (i = 0; i < all.length; i++)
{
centerblock.setimage(all[i]);
e = awaitkey("s,l");
log(e.RT,"reaction_time");
if (e.key === 's')
{
if(contains(rface,all[i]))
{
++face_hits
}
else if (contains(robject,all[i]))
{
++object_hits
}
}
else if (e.key === 'l')
{
if(contains(aface,all[i]))
{
++face_hits
}
else if (contains(aobject,all[i]))
{
++object_hits
}
}
if (contains(rface||aface,all[i]))
{
rt_face += e.RT;
rtf.push(e.RT);
}
else if (contains(robject||aoject,all[i]))
{
rt_object += e.RT;
rto.push(e.RT);
}
log(all[i],"Stimulus");
log(e.key,"Judge")
await(1000)
}
log(rt_face,"RT_Face");
log(rt_object,"RT_Object");
log(face_hits,"face_hits");
log(object_hits,"object_hits");
average_face = rt_face/10;
log(average_face,"average_face");
average_object = rt_object/10;
log(average_object,"average_object");
await(1000);
main.removeblock(centerblock);
text('Your average reaction time for face stimuli was '+(rt_face/10).toFixed(2)+' ms and for animal stimuli '+(rt_object/10).toFixed(2) +' ms!')
await(5000);
clear();
radio("What is your gender?",['female','male','non-binary','others'],'gender');
input("What is your age?","Age");
scale("How well do you know about neural networks and deep learning?",
"Poorly known","Very well","Knowledge");
text("Thank you for participating!").align("center");
await(3000);
clear();
Data inspection is forthcoming!
In the mean time, authors may download their own data and make it available as an Excel file. Check out the 'Stimuli and Files' tab.
Click on a category to view the stimuli and files
You can download the files shown here by clicking on the file names or image. Note that you cannot link directly to the images, sounds, videos, etc. shown here from other web pages; the link will go stale in about one hour and will no longer work after that.
You can download the files shown here by clicking on the file names or image. Note that you cannot link directly to the images, sounds, videos, etc. shown here from other web pages; the link will go stale in about one hour and will no longer work after that.
You can download the files shown here by clicking on the file names or image. Note that you cannot link directly to the images, sounds, videos, etc. shown here from other web pages; the link will go stale in about one hour and will no longer work after that.
You can download the files shown here by clicking on the file names or image. Note that you cannot link directly to the images, sounds, videos, etc. shown here from other web pages; the link will go stale in about one hour and will no longer work after that.