name='prompt',
text='Respond as quickly as possible.',
font='Arial',
pos=(0, 0),
height=0.05,
wrapWidth=None,
ori=0,
color='white',
colorSpace='rgb',
opacity=1,
languageStyle='LTR',
depth=0.0)
# The import and pyo_init should always come early on:
import psychopy.voicekey as vk
vk.pyo_init(rate=44100, buffersize=256)
# What signaler class to use? Here just the demo signaler:
from psychopy.voicekey.demo_vks import DemoVoiceKeySignal as Signaler
# To use a LabJack as a signaling device:
#from voicekey.signal.labjack_vks import LabJackU3VoiceKeySignal as Signaler
# Initialize components for Routine "instr"
instrClock = core.Clock()
instructions_text = visual.TextStim(win=win,
name='instructions_text',
text='default text',
font='Arial',
pos=(0, 0),
height=0.05,
Author: Quinn Cabooter
Function: Master's student
Affiliation: Ghent University
Departement: Theoretical and experimental psychology
Academic year: 2020-21
An experiment programmed for the RPEP course.
Paper: EFFECT OF VERBAL RESPONSE METHOD ON LEFT VISUAL FIELD ADVANTAGE
COMPARED TO MANUAL RESPONSE METHOD.
"""
#import modules
from psychopy import visual, event, core, gui, data
import os, pandas, time
import numpy as np
from psychopy import voicekey as vk
vk.pyo_init()
speedy = 0
# file management and participant info
## set the directory
my_directory = os.getcwd()
## construct the name of the folder that will hold the data
directory_to_write_to = my_directory + "/data"
## if the folder doesn't exist yet, make it
if not os.path.isdir(directory_to_write_to):
os.mkdir(directory_to_write_to)
os.mkdir(path)
if not os.path.exists(audio):
os.mkdir(audio)
if os.path.exists(path + fileOut):
sys.exit("File " + fileOut + " already exists!")
stimuli_list = pandas.read_csv(IMAGE_LIST).values
trials = random.sample(list(stimuli_list), len(stimuli_list))
for i in range(NBLOCK - 1):
trials.extend([['break']])
trials.extend(random.sample(list(stimuli_list), len(stimuli_list)))
responses = [] # output variable
voicekey.pyo_init() # initialize software for voice recording
try:
win = visual.Window(fullscr=FULL,
size=WINSIZE,
color=[1, 1, 1],
colorSpace='rgb',
units='pix')
# All text stimuli
fixation = visual.TextStim(win=win,
ori=0,
name='fixation',
text='+',
height=15,