def makeInLabSR():
sessionPackage = '/MonkeyTurk_upstairs/Subjects/exampleSR.json'
c.write_landing_page(sessionPackage,
agentId='example_inlab_worker',
landingPageName='landingPage_InlabSR.html',
saveDirectoryPath=SAVE_LOCATION)
return
def makeInLabMTS():
IMAGEBAGS = 'https://s3.amazonaws.com/milresources/ImageBagMetaDefinitions/MutatorTraining_FullVarWithBGSetA.json'
GAME = {'gameId':'example_inlab_MTS',
"periodicRewardIntervalMsec":60000,
"periodicRewardAmount":1,
"onFinish":"continue",
"randomSeed":'none',
}
TASK_SEQUENCE = [{
"taskType":"MTS",
"sampleBagNames":['FullVarWithBGSetA_batch0obj0', 'FullVarWithBGSetA_batch0obj1',
'FullVarWithBGSetA_batch0obj2'],
"fixationXCentroid":0.5,
"fixationYCentroid":0.8,
"fixationDiameterDegrees":3,
"sampleXCentroid":0.5,
"sampleYCentroid":0.5,
"sampleDiameterDegrees":8,
"actionXCentroid":[0.3, 0.7],
"actionYCentroid":[0.8, 0.8],
"actionDiameterDegrees":[6, 6],
"choiceXCentroid":[0.3, 0.7],
"choiceYCentroid":[0.8, 0.8],
"choiceDiameterDegrees":[4, 4],
"choiceMap":{"FullVarWithBGSetA_batch0obj0":"FullVarWithBGSetA_batch0obj0",
"FullVarWithBGSetA_batch0obj1":"FullVarWithBGSetA_batch0obj1",
'FullVarWithBGSetA_batch0obj2':"FullVarWithBGSetA_batch0obj2"},
"sampleOnMsec":200,
"sampleOffMsec":0,
"choiceTimeLimitMsec":5000,
"punishTimeOutMsec":100,
"punishStreakTimeOutMultiplier":1,
"rewardTimeOutMsec":150,
"probabilityRepeatWhenWrong":0,
"averageReturnCriterion":0.8,
"minTrialsCriterion":5,
"sampleSampleWithReplacement":True,
"drawEyeFixationDot":True
}]
ENVIRONMENT = {
'playspace_degreesVisualAngle':24,
'playspace_verticalOffsetInches':0,
'playspace_viewingDistanceInches':8,
'screen_virtualPixelsPerInch':143.755902965,
'primary_reinforcer_type':'juice',
'action_event_type':['mouseup', 'touchstart', 'touchmove'],
'rigEnvironment':'monkeybox',
"bonusUSDPerCorrect":0.0005,
"juiceRewardPer1000Trials":250,
}
SESSION_PACKAGE = {'GAME_PACKAGE':{'IMAGEBAGS':IMAGEBAGS, 'TASK_SEQUENCE':TASK_SEQUENCE, 'GAME':GAME},
'ENVIRONMENT':ENVIRONMENT}
c.write_landing_page(SESSION_PACKAGE, agentId = 'example_inlab_worker', landingPageName = 'landingPage_InlabMTS.html', saveDirectoryPath = SAVE_LOCATION)
return
def makeMechanicalTurkSwitcher():
STIMBAGS = {
"stimulus_objectome_flute": [
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome/images/objectome_flute_e0aed0e2c3f0c3cb7a7e235bd931f193a536391d_ty-0.85987_tz-0.38018_rxy-36.131_rxz152.6439_ryz28.9932_s1.4314.png",
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome/images/objectome_flute_2012a31313faa422b2623460d0c33a9f5eb3b238_ty-0.33547_tz-0.0026731_rxy-38.2159_rxz-115.311_ryz90.0954_s1.3508.png"
],
"token_objectome_flute": [
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome_tokens/images/objectomeTokens_objectome_flute.png"
],
"stimulus_objectome_dog": [
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome/images/objectome_dog_e1ed016de5e47e8a6567123ce134d72b7187db73_ty0.43294_tz-0.29943_rxy-112.6794_rxz75.5665_ryz127.211_s1.6328.png",
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome/images/objectome_dog_28ebb7db56691da21fa6d640f5ef719f916cb7ff_ty-0.48998_tz-0.20078_rxy-84.7937_rxz-117.8076_ryz175.5429_s1.3151.png"
],
"token_objectome_dog": [
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome_tokens/images/objectomeTokens_objectome_dog.png"
],
"token_objectome_pineapple": [
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome_tokens/images/objectomeTokens_objectome_pineapple.png"
],
"stimulus_objectome_pineapple": [
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome/images/objectome_pineapple_5946318bc2cdd1947534ae15d43aa7a0d820506e_ty-0.64759_tz0.33642_rxy-5.6836_rxz-71.4586_ryz62.4466_s1.169.png",
"https://s3.amazonaws.com/milresources/Images/MonkeyTurkSets/objectome/images/objectome_pineapple_c50790daa826f1d3fbed5580820c6c91fdded273_ty-0.57074_tz0.84081_rxy-157.3224_rxz64.5421_ryz167.7568_s0.86084.png"
]
}
GAME = {
'gameId': 'example_MechanicalTurk_MTS_to_SR',
"periodicRewardIntervalMsec": 0,
"periodicRewardAmount": 0,
"onFinish": "loop",
"minimumTrials": 30,
"maximumTrials": 30,
}
TASK_SEQUENCE = [{
"assetType":
"image",
"taskType":
"MTS",
"sampleBagNames":
['stimulus_objectome_pineapple', 'stimulus_objectome_flute'],
"fixationXCentroid":
0.5,
"fixationYCentroid":
0.8,
"fixationDiameterDegrees":
3,
"sampleXCentroid":
0.5,
"sampleYCentroid":
0.5,
"sampleDiameterDegrees":
8,
"actionXCentroid": [0.3, 0.7],
"actionYCentroid": [0.8, 0.8],
"actionDiameterDegrees": [6, 6],
"choiceXCentroid": [0.3, 0.7],
"choiceYCentroid": [0.8, 0.8],
"choiceDiameterDegrees": [4, 4],
"choiceMap": {
"stimulus_objectome_flute": "token_objectome_flute",
"stimulus_objectome_pineapple": "token_objectome_pineapple",
'stimulus_objectome_dog': "token_objectome_dog"
},
"sampleOnMsec":
200,
"sampleOffMsec":
0,
"choiceTimeLimitMsec":
5000,
"punishTimeOutMsec":
400,
"punishStreakTimeOutMultiplier":
1.2,
"rewardTimeOutMsec":
150,
"probabilityRepeatWhenWrong":
0,
"averageReturnCriterion":
0.8,
"minTrialsCriterion":
5,
"sampleSampleWithReplacement":
False,
"drawEyeFixationDot":
True
}, {
"taskType":
"SR",
"sampleBagNames":
['stimulus_objectome_pineapple', 'stimulus_objectome_flute'],
"fixationXCentroid":
0.5,
"fixationYCentroid":
0.8,
"fixationDiameterDegrees":
3,
"sampleXCentroid":
0.5,
"sampleYCentroid":
0.5,
"sampleDiameterDegrees":
8,
"actionXCentroid": [0.3, 0.7],
"actionYCentroid": [0.8, 0.8],
"actionDiameterDegrees": [6, 6],
"choiceXCentroid": [0.3, 0.7],
"choiceYCentroid": [0.8, 0.8],
"choiceDiameterDegrees": [4, 4],
"rewardMap": {
"stimulus_objectome_flute": [0, 1],
"stimulus_objectome_pineapple": [1, 0]
},
"sampleOnMsec":
200,
"sampleOffMsec":
0,
"choiceTimeLimitMsec":
5000,
"punishTimeOutMsec":
400,
"punishStreakTimeOutMultiplier":
1.2,
"rewardTimeOutMsec":
150,
"probabilityRepeatWhenWrong":
0,
"averageReturnCriterion":
0.8,
"minTrialsCriterion":
5,
"sampleSampleWithReplacement":
False,
"drawEyeFixationDot":
True
}]
GAME_PACKAGE = {
'STIMBAGS': STIMBAGS,
'GAME': GAME,
'TASK_SEQUENCE': TASK_SEQUENCE
}
ENVIRONMENT = {
'playspace_degreesVisualAngle':
24,
'playspace_verticalOffsetInches':
0,
'playspace_viewingDistanceInches':
8,
'screen_virtualPixelsPerInch':
143.755902965,
'primary_reinforcer_type':
'monetary',
'action_event_type': ['mouseup', 'touchstart', 'touchmove'],
'rigEnvironment':
'mechanicalturk',
"bonusUSDPerCorrect":
0.0005,
"juiceRewardPer1000Trials":
250,
"instructionsDialogueString":
"<ul><p><text style=\"font-weight:bold; font-size:large\">Thank you for your interest and contributing to research at at MIT!</text><pi><li>Please use the latest version of <b>Google Chrome</b> to work on this HIT. It may not work correctly on other browsers.<p><li>You will be presented with rapidly flashed images. <b>Your task is to figure out where to click on parts of the screen based on the information in the images.</b><p><li>The sound of a bell means you did something right, and received a small bonus reward.<p><li>Each trial begins with a <b>WHITE DOT</b>. Click the dot to begin the trial.<p><li>The HIT will submit <b>AUTOMATICALLY</b> after a certain number of trials. If the HIT freezes or does not submit, please contact us to resolve the issue and receive compensation for your time.<p><text style=\"color:#7A7A7A; font-size:smaller; font-style:italic\">If you cannot meet these requirements or if doing so could cause discomfort or injury, do not accept this HIT. You will not be penalized in any way.</text></ul>"
}
sessionPackage = {'GAME_PACKAGE': GAME_PACKAGE, 'ENVIRONMENT': ENVIRONMENT}
c.write_landing_page(
sessionPackage,
agentId=None,
landingPageName='landingPage_MechanicalTurkMTS_to_SR.html',
saveDirectoryPath=SAVE_LOCATION)
return
def makeVideoMechanicalTurkMTS():
STIMBAGS = {"stimulus_objectome_flute":["/resources/test_01.mp4", "/resources/test_02.mp4"],
"token_objectome_flute": ["/resources/test_token_01.mp4"],
"stimulus_objectome_dog": ["/resources/test_03.mp4", "/resources/test_04.mp4"],
"token_objectome_dog": ["/resources/test_token_02.mp4"],
# "stimulus_objectome_pineapple": [""]
# "token_objectome_pineapple": [""],
}
GAME = {'gameId':'example_MechanicalTurk_MTS',
"periodicRewardIntervalMsec":0,
"periodicRewardAmount":0,
"onFinish":"continue",
"minimumTrials":5,
"maximumTrials":10,
}
TASK_SEQUENCE = [{
"assetTpye":"video",
"taskType":"MTS",
"sampleBagNames":['stimulus_objectome_dog', 'stimulus_objectome_flute'],
"fixationXCentroid":0.5,
"fixationYCentroid":0.8,
"fixationDiameterDegrees":3,
"sampleXCentroid":0.5,
"sampleYCentroid":0.5,
"sampleDiameterDegrees":8,
"actionXCentroid":[0.3, 0.7],
"actionYCentroid":[0.8, 0.8],
"actionDiameterDegrees":[6, 6],
"choiceXCentroid":[0.3, 0.7],
"choiceYCentroid":[0.8, 0.8],
"choiceDiameterDegrees":[4, 4],
"choiceMap":{"stimulus_objectome_flute":"token_objectome_flute",
# "stimulus_objectome_pineapple":"token_objectome_pineapple",
'stimulus_objectome_dog':"token_objectome_dog"},
"sampleOnMsec":200,
"sampleOffMsec":0,
"choiceTimeLimitMsec":5000,
"punishTimeOutMsec":400,
"punishStreakTimeOutMultiplier":1.2,
"rewardTimeOutMsec":150,
"probabilityRepeatWhenWrong":0,
"averageReturnCriterion":0.8,
"minTrialsCriterion":5,
"sampleSampleWithReplacement":False,
"drawEyeFixationDot":True
}]
GAME_PACKAGE = {'IMAGEBAGS':IMAGEBAGS, 'GAME':GAME, 'TASK_SEQUENCE':TASK_SEQUENCE}
ENVIRONMENT = {
'playspace_degreesVisualAngle':24,
'playspace_verticalOffsetInches':0,
'playspace_viewingDistanceInches':8,
'screen_virtualPixelsPerInch':143.755902965,
'primary_reinforcer_type':'monetary',
'action_event_type':['mouseup', 'touchstart', 'touchmove'],
'rigEnvironment':'mechanicalturk',
"bonusUSDPerCorrect":0.0005,
"juiceRewardPer1000Trials":250,
"instructionsDialogueString":"<ul><p><text style=\"font-weight:bold; font-size:large\">Thank you for your interest and contributing to research at at MIT!</text><pi><li>Please use the latest version of <b>Google Chrome</b> to work on this HIT. It may not work correctly on other browsers.<p><li>You will be presented with rapidly flashed images. <b>Your task is to match images with the one that was rapidly flashed (this will become clear after you try a few trials).</b><p><li>The sound of a bell means you did something right, and received a small bonus reward.<p><li>Each trial begins with a <b>WHITE DOT</b>. Click the dot to begin the trial.<p><li>The HIT will submit <b>AUTOMATICALLY</b> after a certain number of trials. If the HIT freezes or does not submit, please contact us to resolve the issue and receive compensation for your time.<p><text style=\"color:#7A7A7A; font-size:smaller; font-style:italic\">If you cannot meet these requirements or if doing so could cause discomfort or injury, do not accept this HIT. You will not be penalized in any way.</text></ul>"
}
sessionPackage = {'GAME_PACKAGE':GAME_PACKAGE, 'ENVIRONMENT':ENVIRONMENT}
c.write_landing_page(sessionPackage, agentId = None, landingPageName = 'landingPage_test_Video_MTS.html', saveDirectoryPath = SAVE_LOCATION)
return
"choiceTimeLimitMsec":5000,
"punishTimeOutMsec":400,
"punishStreakTimeOutMultiplier":1.2,
"rewardTimeOutMsec":150,
"probabilityRepeatWhenWrong":0,
"averageReturnCriterion":0.8,
"minTrialsCriterion":5,
"sampleSampleWithReplacement":False,
"drawEyeFixationDot":True
}]
GAME_PACKAGE = {'IMAGEBAGS':IMAGEBAGS, 'GAME':GAME, 'TASK_SEQUENCE':TASK_SEQUENCE}
ENVIRONMENT = {
'playspace_degreesVisualAngle':24,
'playspace_verticalOffsetInches':0,
'playspace_viewingDistanceInches':8,
'screen_virtualPixelsPerInch':143.755902965,
'primary_reinforcer_type':'monetary',
'action_event_type':['mouseup', 'touchstart', 'touchmove'],
'rigEnvironment':'mechanicalturk',
"bonusUSDPerCorrect":0.0005,
"juiceRewardPer1000Trials":250,
"instructionsDialogueString":"<ul><p><text style=\"font-weight:bold; font-size:large\">Thank you for your interest and contributing to research at at MIT!</text><pi><li>Please use the latest version of <b>Google Chrome</b> to work on this HIT. It may not work correctly on other browsers.<p><li>You will be presented with rapidly flashed images. <b>Your task is to match images with the one that was rapidly flashed (this will become clear after you try a few trials).</b><p><li>The sound of a bell means you did something right, and received a small bonus reward.<p><li>Each trial begins with a <b>WHITE DOT</b>. Click the dot to begin the trial.<p><li>The HIT will submit <b>AUTOMATICALLY</b> after a certain number of trials. If the HIT freezes or does not submit, please contact us to resolve the issue and receive compensation for your time.<p><text style=\"color:#7A7A7A; font-size:smaller; font-style:italic\">If you cannot meet these requirements or if doing so could cause discomfort or injury, do not accept this HIT. You will not be penalized in any way.</text></ul>"
}
sessionPackage = {'GAME_PACKAGE':GAME_PACKAGE, 'ENVIRONMENT':ENVIRONMENT}
c.write_landing_page(sessionPackage, agentId = None, landingPageName = 'landingPage_test_Imgae_MTS.html', saveDirectoryPath = SAVE_LOCATION)
return
if __name__ == '__main__':
makeImageMechanicalTurkMTS()