def __init__(self, condition, value_text, desc_text, fname):
'''All we need to present a single trial of our experiment
So far, only integrated recording into 'EI'
fname :
the name of the avi where we'll store subject face images
'''
# Chunks of stuff that get done in different trials
def generic_E(desc_stop):
return [ Event(instruction, 0.5, 'start_reading', text='ESTIMATE',
log={'condition': condition},
response=ReadResponse('start_reading')) ] + \
self.display_description(desc_text, 'start_reading',
desc_stop) + \
[ Event(answer, 'start_reading', desc_stop,
text='<>', color=(0,0,0),
response=EstimateResponse(timeout=5.0)) ]
def surprise(surp_start):
# return [ Event(answer, surp_start, 'surprise', text='<>',
# color=(0,0,0), response=SurpriseResponse()),
return [ Event(instruction, surp_start, 'surprise',
text='SURPRISED?', response=SurpriseResponse() )]
# Now define our actual conditions
value_text = format_num(value_text)
if condition == 'I':
events = [ Event(instruction, 0.5, 'start_reading', text='READ',
log={'condition': 'I'},
response=ReadResponse('start_reading')),
Event(value, 'start_reading', 'surprise',
text=value_text) ] + \
self.display_description(desc_text,
('start_reading', 2.0),
'surprise') + \
surprise(('start_reading', 2.0))
elif condition == 'E':
events = generic_E('estimate')
elif condition == 'EI':
# Note that we set the first 'value' to offset after 'surprise' to
# prevent this from deactivating the second value prompt ('<>')
# right at 'read_num'
events = [ Event(recording, 0.0, 'surprise', fname=fname) ] + \
generic_E('surprise') + \
[ Event(value, ('estimate', 0.5), 'surprise',
text=value_text)] + \
surprise(('estimate', 2.5))
elif condition == 'EM':
# [ Event(answer, 'estimate', 'memory', text='<>',
# color=(0,0,0) ),
events = generic_E('memory') + \
[ Event(instruction, 'estimate', 'memory',
text='MEMORY?', response=MemoryResponse() ) ]
Trial.__init__(self, events)
def __init__(self, FS):
events=[Event(fixation, start=0, duration=2.0),
Event(FS, start=2, duration=.5,
log={'face':FS.parameters.text,
'subject':subject}),
Event(blank, start=2, duration=2.5,
response = Response(label='press',limit=('z','/')))]
Trial.__init__(self,events)
def __init__(self, stim):
voice_resp = VoiceResponse(label = 'speak',
audio_controller = voice_controller)
events=[Event(fixation, start=0, duration=2.0),
Event(stim, start=2, duration=.5,
log={'type': stim.type,
'subject': subject,
'VT_threshold': voice_controller.THRESHOLD}),
Event(blank, start=2, duration=2.5,
response = voice_resp)]
Trial.__init__(self,events)