def generateGao10e4(vpn):
''' Experiment 4 from Gao et al. (2010)
Gao, T., McCarthy, G., & Scholl, B. J. (2010).
The Wolfpack Effect Perception of Animacy Irresistibly
Influences Interactive Behavior.
Psychological science, 21(12), 1845-1853.
vpn - tuple of ints, each value gives the subject id
'''
# gao10e4 settings
maze=EmptyMaze((1,1),dispSize=(18,18),lw2cwRatio=0)
Q.setTrialDur(8); nrtrials=90;
Q.setAspeed(5.1)
os.chdir('..');os.chdir('input/')
for vp in vpn:
vpname='vp%03d' % vp;os.mkdir(vpname);os.chdir(vpname)
for trial in range(nrtrials):
if vp>400 and vp<500: continue
trajectories=generateTrial(12,maze=maze, rejectionDistance=0.0)
fn='%strial%03d'% (vpname,trial);
np.save(fn,trajectories[:,2:,:])
np.save('order%sb0'% (vpname),np.random.permutation(nrtrials))
np.save('order%sb1'% (vpname),np.random.permutation(nrtrials))
np.save('order%sb2'% (vpname),np.random.permutation(nrtrials))
Q.save('SettingsTraj.pkl')
os.chdir('..')
def generateGao09e1(vpn):
''' Experiment 1 from Gao et al. (2009)
Gao, T., Newman, G. E., & Scholl, B. J. (2009).
The psychophysics of chasing: A case study in
the perception of animacy.
Cognitive psychology, 59(2), 154-179.
vpn - tuple of ints, each value gives the subject id
'''
# gao09e1 settings
# TODO move settings to Settings.py
nrtrials=15
maze=EmptyMaze((1,1),dispSize=(32,24),lw2cwRatio=0)
chs=[0,60,120,180,240,300]
Q.setTrialDur(10);Q.phiRange=(120,120)
Q.setpDirChange([5.9,5.9,5.9])
block=0
#os.chdir('..')
os.chdir('..')
os.chdir('input/')
for vp in vpn:
vpname='vp%03d' % vp
os.mkdir(vpname)
os.chdir(vpname)
i=0
r=np.zeros((2*6*nrtrials,2))
r[:,0]=np.random.permutation(2*6*nrtrials)
for cond in range(6):
for trial in range(nrtrials):
Q.phiRange=(Q.phiRange[0],chs[cond])
trajectories=None
while trajectories ==None:
trajectories=generateTrial(5,maze=maze,
rejectionDistance=5.0)
#target present trial
r[i,1]=cond
fn='gao09e1%sb%dtrial%03d'% (vpname,block,i);
np.save(fn,trajectories[:,:-1,:]);i+=1
#target absent trial
r[i,1]=cond+6
fn='gao09e1%sb%dtrial%03d'% (vpname,block,i);
np.save(fn,trajectories[:,1:,:]);i+=1
np.save('gao09e1order%sb%d'% (vpname,block),r)
Q.save('SettingsTraj.pkl')
os.chdir('..')
os.chdir('..')
