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experiment.js
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/* ************************************ */
/* Define helper functions */
/* ************************************ */
function evalAttentionChecks() {
var check_percent = 1
if (run_attention_checks) {
var attention_check_trials = jsPsych.data.getTrialsOfType('attention-check')
var checks_passed = 0
for (var i = 0; i < attention_check_trials.length; i++) {
if (attention_check_trials[i].correct === true) {
checks_passed += 1
}
}
check_percent = checks_passed / attention_check_trials.length
}
return check_percent
}
function assessPerformance() {
/* Function to calculate the "credit_var", which is a boolean used to
credit individual experiments in expfactory. */
var experiment_data = jsPsych.data.getTrialsOfType('poldrack-single-stim')
experiment_data = experiment_data.concat(jsPsych.data.getTrialsOfType('poldrack-categorize'))
var missed_count = 0
var trial_count = 0
var rt_array = []
var rt = 0
//record choices participants made
var choice_counts = {}
choice_counts[-1] = 0
for (var k = 0; k < choices.length; k++) {
choice_counts[choices[k]] = 0
}
for (var i = 0; i < experiment_data.length; i++) {
if (experiment_data[i].possible_responses != 'none') {
trial_count += 1
rt = experiment_data[i].rt
key = experiment_data[i].key_press
choice_counts[key] += 1
if (rt == -1) {
missed_count += 1
} else {
rt_array.push(rt)
}
}
}
//calculate average rt
var avg_rt = -1
if (rt_array.length !== 0) {
avg_rt = math.median(rt_array)
}
//calculate whether response distribution is okay
var responses_ok = true
Object.keys(choice_counts).forEach(function(key, index) {
if (choice_counts[key] > trial_count * 0.85) {
responses_ok = false
}
})
var missed_percent = missed_count/trial_count
credit_var = (missed_percent < 0.4 && avg_rt > 200 && responses_ok)
jsPsych.data.addDataToLastTrial({"credit_var": credit_var})
}
var randomDraw = function(lst) {
var index = Math.floor(Math.random() * (lst.length))
return lst[index]
}
var makeTrialList = function(len, stim, data) {
//choice array: numeric key codes for the numbers 1-4
var choice_array = [83, 72]
// 1 is a switch trial: ensure half the trials are switch trials
var switch_trials = jsPsych.randomization.repeat([0, 1], len / 2)
//create test array
output_list = []
//randomize first trial
var trial_index = jsPsych.randomization.shuffle(['global', 'local'])[0]
if (trial_index == 'global') {
tmpi = Math.floor(Math.random() * (stim.length / 2))
} else {
tmpi = Math.floor(Math.random() * (stim.length / 2)) + stim.length / 2
}
var tmp_obj = {}
tmp_obj.stimulus = stim[tmpi]
var tmp_data = $.extend({}, data[tmpi])
tmp_data.switch = 0
tmp_data.correct_response = choice_array[local_shapes.indexOf(data[tmpi][trial_index + '_shape'])]
tmp_obj.data = tmp_data
output_list.push(tmp_obj)
/* randomly sample from either the global or local stimulus lists (first and half part of the stim/data arrays)
On stay trials randomly select an additional stimulus from that array. On switch trials choose from the other list. */
for (i = 1; i < switch_trials.length; i++) {
tmp_obj = {}
if (switch_trials[i] == 1) {
if (trial_index == 'global') {
trial_index = 'local'
} else {
trial_index = 'global'
}
}
if (trial_index == 'global') {
tmpi = Math.floor(Math.random() * (stim.length / 2))
} else {
tmpi = Math.floor(Math.random() * (stim.length / 2)) + stim.length / 2
}
tmp_obj.stimulus = stim[tmpi]
tmp_data = $.extend({}, data[tmpi])
tmp_data.switch = switch_trials[i]
tmp_data.correct_response = choice_array[local_shapes.indexOf(data[tmpi][trial_index +
'_shape'
])]
tmp_obj.data = tmp_data
output_list.push(tmp_obj)
}
return output_list
}
var getInstructFeedback = function() {
return '<div class = centerbox><p class = center-block-text>' + feedback_instruct_text +
'</p></div>'
}
/* ************************************ */
/* Define experimental variables */
/* ************************************ */
// generic task variables
var run_attention_checks = false
var attention_check_thresh = 0.65
var sumInstructTime = 0 //ms
var instructTimeThresh = 0 ///in seconds
var credit_var = true
// task specific variables
var current_trial = 0
var choices = [72, 83]
var task_colors = jsPsych.randomization.shuffle(['blue', 'black'])
var global_shapes = ['s','h', 'o']
var local_shapes = ['s','h','o']
var path = 'images/'
var prefix = '<div class = centerbox><img src = "'
var postfix = '"</img></div>'
var stim = []
var data = []
var images = []
for (c = 0; c < task_colors.length; c++) {
if (c === 0) {
condition = 'global'
global_shape_length = 2
local_shape_length = 3
} else {
condition = 'local'
global_shape_length = 3
local_shape_length = 2
}
for (g = 0; g < global_shape_length; g++) {
for (l = 0; l < local_shape_length; l++) {
stim.push(prefix + path + task_colors[c] + '_' + global_shapes[g] + '_of_' + local_shapes[l] +
'.png' + postfix)
images.push(path + task_colors[c] + '_' + global_shapes[g] + '_of_' + local_shapes[l] +
'.png')
data.push({
condition: condition,
global_shape: global_shapes[g],
local_shape: local_shapes[l]
})
}
}
}
jsPsych.pluginAPI.preloadImages(images)
//Set up experiment stimulus order
var practice_trials = makeTrialList(36, stim, data) //36
for (i = 0; i < practice_trials.length; i++) {
practice_trials[i].key_answer = practice_trials[i].data.correct_response
}
var test_trials = makeTrialList(96, stim, data) //96
/* ************************************ */
/* Set up jsPsych blocks */
/* ************************************ */
// Set up attention check node
var attention_check_block = {
type: 'attention-check',
data: {
trial_id: "attention_check"
},
timing_response: 180000,
response_ends_trial: true,
timing_post_trial: 200
}
var attention_node = {
timeline: [attention_check_block],
conditional_function: function() {
return run_attention_checks
}
}
//Set up post task questionnaire
var post_task_block = {
type: 'survey-text',
data: {
trial_id: "post task questions"
},
questions: ['<p class = center-block-text style = "font-size: 20px">Please summarize what you were asked to do in this task.</p>',
'<p class = center-block-text style = "font-size: 20px">Do you have any comments about this task?</p>'],
rows: [15, 15],
columns: [60,60]
};
/* define static blocks */
var end_block = {
type: 'poldrack-text',
data: {
trial_id: "end",
exp_id: 'local_global_letter'
},
timing_response: 180000,
text: '<div class = centerbox><p class = center-block-text>Thanks for completing this task!</p><p class = center-block-text>Press <strong>enter</strong> to continue.</p></div>',
cont_key: [13],
timing_post_trial: 0,
on_finish: assessPerformance
};
var feedback_instruct_text =
'Welcome to the experiment. This experiment will take about 8 minutes. Press <strong>enter</strong> to begin.'
var feedback_instruct_block = {
type: 'poldrack-text',
cont_key: [13],
data: {
trial_id: "instruction"
},
text: getInstructFeedback,
timing_post_trial: 0,
timing_response: 180000
};
/// This ensures that the subject does not read through the instructions too quickly. If they do it too quickly, then we will go over the loop again.
var instructions_block = {
type: 'poldrack-instructions',
data: {
trial_id: "instruction"
},
pages: [
'<div class = centerbox><p class = block-text>In this experiment you will see blue or black letters made up of smaller letters, like the image below. All of the smaller letters will always be the same letter.</p><div class = instructionImgBox><img src = "images/blue_s_of_o.png" height = 200 width = 200></img></div></div>',
'<div class = centerbox><p class = block-text>Your task is to indicate whether the larger or smaller letters is an "H" or "S", depending on the color. If the letter is ' +
task_colors[0] + ' indicate whether the larger letter is an "H" or "S". If the letter is ' +
task_colors[1] +
' indicate whether the smaller letter is an "H" or "S".</p><p class = block-text>Use the "H" or "S" keys to indicate the letter.</p></div>',
'<div class = centerbox><p class = block-text>For instance, for the letter below you would press "S" because it is ' +
task_colors[1] +
' which means you should respond based on the smaller shapes. If the shape was instead ' +
task_colors[0] +
' you would press "H".</p><div class = instructionImgBox><img src = "images/' +
task_colors[1] + '_h_of_s.png" height = 200 width = 200></img></div></div>'
],
allow_keys: false,
show_clickable_nav: true,
timing_post_trial: 1000
};
var instruction_node = {
timeline: [feedback_instruct_block, instructions_block],
/* This function defines stopping criteria */
loop_function: function(data) {
for (i = 0; i < data.length; i++) {
if ((data[i].trial_type == 'poldrack-instructions') && (data[i].rt != -1)) {
rt = data[i].rt
sumInstructTime = sumInstructTime + rt
}
}
if (sumInstructTime <= instructTimeThresh * 1000) {
feedback_instruct_text =
'Read through instructions too quickly. Please take your time and make sure you understand the instructions. Press <strong>enter</strong> to continue.'
return true
} else if (sumInstructTime > instructTimeThresh * 1000) {
feedback_instruct_text =
'Done with instructions. Press <strong>enter</strong> to continue.'
return false
}
}
}
var start_practice_block = {
type: 'poldrack-text',
timing_response: 180000,
data: {
trial_id: "practice_intro"
},
text: '<div class = centerbox><p class = center-block-text>We will start with some practice. During practice you will get feedback about whether you responded correctly. You will not get feedback during the rest of the experiment.</p><p class = center-block-text>Press <strong>enter</strong> to begin.</p></div>',
cont_key: [13],
timing_post_trial: 1000
};
var start_test_block = {
type: 'poldrack-text',
timing_response: 180000,
data: {
trial_id: "test_intro"
},
text: '<div class = centerbox><p class = center-block-text>We will now start the test. Remember, if the letter is ' +
task_colors[0] + ' indicate whether the larger letter is an "H" or "S". If the letter is ' +
task_colors[1] +
' indicate whether the smaller letter is an "H" or "S".</p><p class = center-block-text>Press <strong>enter</strong> to begin.</p></div>',
cont_key: [13],
timing_post_trial: 1000,
on_finish: function() {
current_trial = 0
}
};
/* define practice block */
var practice_block = {
type: 'poldrack-categorize',
timeline: practice_trials,
is_html: true,
data: {
trial_id: "stim",
exp_stage: "practice"
},
correct_text: '<div class = centerbox><div style="color:green"; class = center-text>Correct!</div></div>',
incorrect_text: '<div class = centerbox><div style="color:red"; class = center-text>Incorrect</div></div>',
timeout_message: '<div class = centerbox><div class = center-text>Respond faster!</div></div>',
choices: choices,
timing_feedback_duration: 1000,
show_stim_with_feedback: false,
timing_response: 2000,
timing_post_trial: 500,
on_finish: function(data) {
jsPsych.data.addDataToLastTrial({
trial_num: current_trial
})
current_trial += 1
}
}
/* define test block */
var test_block = {
type: 'poldrack-single-stim',
timeline: test_trials,
data: {
trial_id: "stim",
exp_stage: "test"
},
is_html: true,
choices: choices,
timing_post_trial: 500,
timing_response: 2000,
on_finish: function(data) {
correct = false
if (data.key_press === data.correct_response) {
correct = true
}
jsPsych.data.addDataToLastTrial({
correct: correct,
trial_num: current_trial
})
current_trial += 1
}
};
/* create experiment definition array */
var local_global_letter_experiment = [];
local_global_letter_experiment.push(instruction_node);
local_global_letter_experiment.push(start_practice_block);
local_global_letter_experiment.push(practice_block);
local_global_letter_experiment.push(start_test_block);
local_global_letter_experiment.push(test_block);
local_global_letter_experiment.push(attention_node)
local_global_letter_experiment.push(post_task_block)
local_global_letter_experiment.push(end_block);