import random import numpy as np from otree.api import * doc = """ Informational Cost of Interventions - baseline & deterministic app with 10 rounds. In base its 5 Part 1s, 1 Part 2, 5 Part 1s and 1 Part 2. In Det its 5 Treatments, 5 Part 1s, and 1 Part 2. """ class C(BaseConstants): NAME_IN_URL = 'strategy_method' PLAYERS_PER_GROUP = None PARAMETERIZATIONS = list(range(1, 6)) NUM_ROUNDS = len(PARAMETERIZATIONS) OUTSIDE_OPTION = cu(1.5) PROBABILITY_OF_SWITCH = 0.25 REVIEW_INSTRUCTIONS = 'informational_cost/reviewInstructions.html' COMPUTER_INTRO_TYPES = 'informational_cost/computerTypes.html' COMPUTER_INTRO_TYPES_INTRO = 'intro/computerTypes.html' PART1_TEMPLATE = 'intro/part1.html' # this comes from the other app PART2_TEMPLATE = 'informational_cost/part2.html' BONUS_PART1_TEMPLATE = 'informational_cost/bonus_part1.html' BONUS_PART2_TEMPLATE = 'informational_cost/bonus_part2.html' INSTRUCTIONS1_TEMPLATE = 'informational_cost/instructions1_template.html' PART1_INTRO_TEMPLATE = 'intro/part1.html' PART2_INTRO_TEMPLATE = 'intro/part2.html' BONUS_INTRO_TEMPLATE = 'intro/bonus.html' # Each of the 5 stages corresponds to our parameterization as in the overleaf document LABEL_POOL = ['Green', 'Blue', 'Orange', 'Purple', 'Gray'] LABEL_SEP = ['Yellow', 'Red', 'Violet', 'Pink', 'Brown'] class Subsession(BaseSubsession): pass def make_field_bonusChoice(): return models.IntegerField(blank=True, choices=[ [1, 'The amount the computer produces in this part.'], [3, 'The fixed payment, independently of how much the computer ' 'produces in this part.'] ], widget=widgets.RadioSelect) class Group(BaseGroup): pass class Player(BasePlayer): cq1_intro = models.IntegerField(blank=True, choices=[ [1, 'It does not do anything.'], [2, 'It solves different tasks.'], [3, 'It decides what task it solves.'] ], widget=widgets.RadioSelect, label='What does the computer do?' ) cq2_intro = models.IntegerField(blank=True, choices=[ [1, 'Only one, which can be of Good or the Bad quality.'], [2, 'Two, one of Good quality and one of Bad quality.'], [3, 'There are no computers.'] ], widget=widgets.RadioSelect, label='How many computers are there in this decision?' ) cq3_intro = models.IntegerField(blank=True, choices=[ [1, 'Yes, there is only one computer which solves tasks in both part 1 ' 'and part 2, but the computer can be of a different quality in part 1 and part 2.'], [2, 'No, there are two computers, one for each part.'], [3, 'Yes, there is only one computer in this decision which solves tasks in both ' 'part 1 and part 2, and the computer is of the same quality in both parts.'] ], widget=widgets.RadioSelect, label='Is the computer that solves the task in part 1 the same as the one that ' 'solves the task in part 2 in this decision?' ) cq1 = models.IntegerField(blank=True, widget=widgets.RadioSelect, label='In part 2 of this decision, which type of task does the computer solve?' ) cq2 = models.IntegerField(blank=True, widget=widgets.RadioSelect, label='How is your bonus determined in this decision?' ) cq3 = models.IntegerField(blank=True, widget=widgets.RadioSelect, label=" Which task allows you to tell the computer's quality after part 1? " "" ) # cq_part2 = models.IntegerField(blank=True, # widget=widgets.RadioSelect) for j in range(1, 4): locals()['cq' + str(j) + '_intro_mistakes'] = models.IntegerField(blank=True, initial=0) del j intro_cq_mistakes = models.IntegerField(blank=True) for j in range(1, 4): locals()['cq' + str(j) + '_mistakes'] = models.IntegerField(blank=True, initial=0) del j # cq_part2_mistakes = models.IntegerField(blank=True, initial=0) info_cost_cq_mistakes = models.IntegerField(blank=True, initial=0) bonusChoice = models.IntegerField(blank=True, widget=widgets.RadioSelect, label='How do you want your bonus for part 2 to be determined?') environment_choice = models.BooleanField( widget=widgets.RadioSelect, blank=True) explain = models.LongStringField(blank=True) advice = models.IntegerField(blank=True, widget=widgets.RadioSelect ) bonusChoicePool = make_field_bonusChoice() bonusChoiceSepGood = make_field_bonusChoice() bonusChoiceSepBad = make_field_bonusChoice() # FUNCTIONS def environment_choice_choices(player): pp = player.participant ps = player.session current_parameterization = pp.param_rounds[player.round_number - 1] part1_bonus = ps.parameterization[current_parameterization - 1][:3] part2_bonus = ps.parameterization[current_parameterization - 1][-2:] comp_type = pp.compType[player.round_number - 1] if player.bonusChoicePool == 3: # if in pooling they chose outside option choices = [ [True, C.LABEL_POOL[player.round_number - 1] + " task. The computer produces " + str(cu(part1_bonus[0])) + " and you get a " + str(C.OUTSIDE_OPTION) + " bonus in part 2, as you selected."]] else: choices = [ [True, C.LABEL_POOL[player.round_number - 1] + " task. If the computer is of the Good quality, you " "get a " + str(cu(part1_bonus[0])) + ' bonus in part 1, and a ' + str(cu(part2_bonus[0])) + " bonus in part 2. If it is of the Bad quality, you" " get a " + str(cu(part1_bonus[0])) + ' bonus in part 1, and a ' + str(cu(part2_bonus[1])) + " bonus in part 2."]] # part_1_bonus = str(cu(part1_bonus[1])) if comp_type == 1 else str(cu(part1_bonus[2])) if player.bonusChoiceSepGood == 3: # if in separating-good they chose outside option if player.bonusChoiceSepBad == 1: # if in separating-bad they chose hire choices.append([False, C.LABEL_SEP[player.round_number-1] + " task. If the computer is of the Good quality, you " "get a " + str(cu(part1_bonus[1])) + ' bonus in part 1, and a ' + str(C.OUTSIDE_OPTION) + " bonus in part 2. If it is of the Bad quality," " you get a " + str(cu(part1_bonus[2])) + ' bonus in part 1, and a ' + str(cu(part2_bonus[1])) + " bonus in part 2."]) elif player.bonusChoiceSepBad == 3: # if in separating-bad they chose outside option choices.append([False, C.LABEL_SEP[player.round_number-1] + " task. If the computer is of the Good quality, you " "get a " + str(cu(part1_bonus[1])) + ' bonus in part 1, and a ' + str(C.OUTSIDE_OPTION) + " bonus in part 2. If it is of the Bad quality, " "you get a " + str(cu(part1_bonus[2])) + ' bonus in part 1, and a ' + str(C.OUTSIDE_OPTION) + " bonus in part 2."]) elif player.bonusChoiceSepGood == 1: # if in separating-good they chose hire if player.bonusChoiceSepBad == 1: # if in separating-bad they chose hire choices.append([False, C.LABEL_SEP[player.round_number-1] + " task. If the computer is of the Good quality, you " "get a " + str(cu(part1_bonus[1])) + ' bonus in part 1, and a ' + str(cu(part2_bonus[0])) + " bonus in part 2. If it is of the Bad quality, you get a " + str(cu(part1_bonus[2])) + ' bonus in part 1, and a ' + str(cu(part2_bonus[1])) + " bonus in part 2."]) elif player.bonusChoiceSepBad == 3: # if in separating-bad they chose outside option choices.append([False, C.LABEL_SEP[player.round_number-1] + " task. If the computer is of the Good quality, you " "get a " + str(cu(part1_bonus[1])) + ' bonus in part 1, and a ' + str(cu(part2_bonus[0])) + " bonus in part 2. If it is of the Bad quality, you get a " + str(cu(part1_bonus[2])) + ' bonus in part 1, and a ' + str(C.OUTSIDE_OPTION) + " bonus in part 2."]) random.shuffle(choices) return choices # def cq_part2_choices(player): # pp = player.participant # chosen_decision_index = pp.chosen_decisions # if pp.treatment == 'deterministic' and chosen_decision_index < 6: # choices = [ # [1, 'No, I will never learn exactly how much each computer produced.'], # [2, 'Yes, I will learn about it, but only once the experiment ends and I get my bonus payment.'], # [3, 'Yes, I will learn how much each computer produced before part 2.'] # ] # elif pp.treatment == 'salient' and chosen_decision_index < 6: # if player.environment_choice: # choices = [ # [3, "No, we will not tell you the computer's quality."], # [2, "Yes, we will tell you the computer's quality, but only once the experiment ends and you get " # "your bonus payment."], # [1, "Yes, we will tell you the computer's quality before part 2."], # ] # else: # choices = [ # [1, "No, we will not tell you the computer's quality."], # [2, "Yes, we will tell you the computer's quality, but only once the experiment ends and you get " # "your bonus payment."], # [3, "Yes, we will tell you the computer's quality before part 2."], # ] # else: # choices = [ # [1, 'No, I will never learn exactly how much the computer produced.'], # [2, 'Yes, I will learn about it, but only once the experiment ends and I get ' # 'my bonus payment.'], # [3, 'Yes, I will learn how much the computer produced before part 2.'], # ] # return choices # def cq_part2_error_message(player, value): # if not player.session.config['development']: # if value is None: # return 'Please, answer the question.' # elif value != 3: # player.cq_part2_mistakes += 1 # return 'Your answer is incorrect.' def cq1_choices(player): pp = player.participant if pp.det: choices = [ [1, 'They solve the ' + C.LABEL_POOL[player.round_number-1] + ' task, and the ' + C.LABEL_SEP[player.round_number-1] + ' task, for a total of two tasks.'], [2, 'It has not yet been decided. It is my task to decide it.'], [3, 'They solve the ' + C.LABEL_SEP[player.round_number-1] + ' task.'], [4, 'They solve the ' + C.LABEL_POOL[player.round_number - 1] + ' task.'] ] else: choices = [ [1, 'It solves the ' + C.LABEL_POOL[player.round_number-1] + ' task, and the ' + C.LABEL_SEP[player.round_number-1] + ' task, for a total of two tasks.'], [2, 'It has not yet been decided. It is my task to decide it.'], [3, 'It solves the ' + C.LABEL_SEP[player.round_number-1] + ' task.'], [4, 'It solves the ' + C.LABEL_POOL[player.round_number - 1] + ' task.'] ] random.shuffle(choices) return choices def cq1_error_message(player, value): if not player.session.config['development']: if value is None: return 'Please, answer the question.' elif value != 3: player.cq1_mistakes += 1 return 'Your answer is incorrect. Please review the instructions for this decision.' def cq2_choices(player): pp = player.participant if pp.det: choices = [ [1, 'For each task that the computers solve, I get ' + str(cu(player.session.parameterization[player.participant.param_rounds[player.round_number-1] - 1][0]) ) + '. This applies to both tasks.'], [2, "In part 1, I get whatever amount the computers produce in that part's tasks. " "I can choose my bonus for part 2 to be whatever amount the computer of my choice" " produces in that part's task or a fixed bonus of " + str(C.OUTSIDE_OPTION) + '.'], [3, 'For each task the computers solve, I get the amount they produce.' ' This applies to both tasks, and I get ' + str(C.OUTSIDE_OPTION) + ' on top of it.'] ] else: choices = [ [1, 'For each task that the computer solves, I get ' + str(cu(player.session.parameterization[player.participant.param_rounds[player.round_number-1] - 1][0]) ) + '. This applies to both tasks.'], [2, "In part 1, I get whatever amount the computer produces in that part's task. " "I can choose my bonus for part 2 to be whatever amount the computer produces in that part's " "task or a fixed bonus of " + str(C.OUTSIDE_OPTION) + '.'], [3, 'For each task the computer solves, I get the amount it produces.' ' This applies to both tasks, and I get ' + str(C.OUTSIDE_OPTION) + ' on top of it.'] ] random.shuffle(choices) return choices def cq2_error_message(player, value): if not player.session.config['development']: if value is None: return 'Please, answer the question.' elif value != 2: player.cq2_mistakes += 1 return 'Your answer is incorrect. Please review the instructions for this decision.' def cq3_choices(player): pp = player.participant choices = [ [1, C.LABEL_POOL[player.round_number-1] + ' task.'], [2, C.LABEL_SEP[player.round_number-1] + ' task.'] ] random.shuffle(choices) return choices def cq3_error_message(player, value): if not player.session.config['development']: if value is None: return 'Please, answer the question.' elif value != 2: player.cq3_mistakes += 1 return 'Your answer is incorrect. Please review the instructions for this decision.' def bonusChoice_choices(player): # pp = player.participant # chosen_decision_index = pp.chosen_decisions choices = [ [1, 'The amount the computer produces in this part.'], [3, 'The fixed payment, independently of how much the computer produces in this part.'] ] random.shuffle(choices) return choices def bonusChoice_error_message(player, value): if not player.session.config['development'] and value is None: return 'Please, answer the question.' def environment_choice_error_message(player, value): if not player.session.config['development'] and value is None: return 'Please, answer the question.' def vars_for_template1(player: Player): pp = player.participant ps = player.session current_parameterization = pp.param_rounds[player.round_number - 1] chosen_decision_index = pp.chosen_decisions chosen_decision = chosen_decision_index if chosen_decision_index < 6 else chosen_decision_index - 5 part2_bonus = ps.parameterization[current_parameterization - 1][-2:] part1_bonus = ps.parameterization[current_parameterization - 1][:3] return dict( comp_type=pp.compType[player.round_number-1], part2_bonus_good=cu(part2_bonus[0]), part2_bonus_bad=cu(part2_bonus[1]), part1_bonus_pool=cu(part1_bonus[0]), part1_bonus_good_sep=cu(part1_bonus[1]), part1_bonus_bad_sep=cu(part1_bonus[2]), current_parameterization=current_parameterization, chosen_decision=chosen_decision, label_pool=C.LABEL_POOL[player.round_number-1], label_sep=C.LABEL_SEP[player.round_number-1], stage2_rounds=player.round_number - 5, stage_of_chosen_decision=1 if chosen_decision_index < 6 else 2, decision_name = C.LABEL_POOL[player.round_number - 1] + '/' + C.LABEL_SEP[player.round_number - 1] ) def advice_choices(player): choices = [ [1, 'Advise that the computer solves the ' + C.LABEL_POOL[-1] + ' task.'], [2, 'Advise that the computer solves the ' + C.LABEL_SEP[-1] + ' task.'] ] return choices # PAGES class Parameterization(Page): vars_for_template = vars_for_template1 @staticmethod def before_next_page(player: Player, timeout_happened): print(player.participant.param_rounds[player.round_number-1]) class CQIntro(Page): form_model = 'player' @staticmethod def is_displayed(player: Player): return player.round_number == 1 @staticmethod def get_form_fields(player): questions = ['cq1_intro', 'cq2_intro', 'cq3_intro'] # if player.participant.det: # questions = [x + '_det' for x in questions] return questions @staticmethod def error_message(player, values): if not player.session.config['development']: # if not player.participant.det: solutions = dict(cq1_intro=2, cq2_intro=1, cq3_intro=3 ) # else: # solutions = dict(cq1_det=2, # cq2_det=2, # cq3_det=3, # cq4_det=2 # ) error_messages = dict() for field_name in solutions: if values[field_name] is None: error_messages[field_name] = 'Please, answer the question.' elif values[field_name] != solutions[field_name]: error_messages[field_name] = 'Please, correct your answer!' name = 'player.' + str(field_name) + '_mistakes' exec("%s += 1" % name) return error_messages @staticmethod def before_next_page(player: Player, timeout_happened): player.intro_cq_mistakes = player.cq1_intro_mistakes + player.cq2_intro_mistakes + player.cq3_intro_mistakes # + player.cq4_mistakes + player.cq5_mistakes + player.cq1_det_mistakes + player.cq2_det_mistakes + \ # player.cq3_det_mistakes + player.cq4_det_mistakes @staticmethod def vars_for_template(player): pp = player.participant ps = player.session chosen_decision_index = pp.chosen_decisions current_parameterization = pp.param_rounds[player.round_number - 1] part2_bonus = ps.parameterization[current_parameterization - 1][-2:] part1_bonus = ps.parameterization[current_parameterization - 1][:3] return dict( label_pool=C.LABEL_POOL[player.round_number - 1], label_sep=C.LABEL_SEP[player.round_number - 1], stage_of_chosen_decision=1 if chosen_decision_index < 6 else 2, current_parameterization=current_parameterization, part2_bonus_good=cu(part2_bonus[0]), part2_bonus_bad=cu(part2_bonus[1]), part1_bonus_pool=cu(part1_bonus[0]), part1_bonus_good_sep=cu(part1_bonus[1]), part1_bonus_bad_sep=cu(part1_bonus[2]), ) class CQ(Page): form_model = 'player' form_fields = ['cq1', 'cq2', 'cq3'] @staticmethod def before_next_page(player: Player, timeout_happened): player.info_cost_cq_mistakes = player.cq1_mistakes + player.cq2_mistakes + player.cq3_mistakes @staticmethod def vars_for_template(player): pp = player.participant ps = player.session current_parameterization = pp.param_rounds[player.round_number - 1] chosen_decision_index = pp.chosen_decisions chosen_decision = chosen_decision_index if chosen_decision_index < 6 else chosen_decision_index - 5 part2_bonus = ps.parameterization[current_parameterization - 1][-2:] part1_bonus = ps.parameterization[current_parameterization - 1][:3] if player.participant.det: cq1_label = 'In part 2 of this decision, which task do the computers solve?' else: cq1_label = 'In part 2 of this decision, which task does the computer solve?' cq2_label = 'How is your bonus determined in this decision?' return dict( comp_type=pp.compType[player.round_number - 1], part2_bonus_good=cu(part2_bonus[0]), part2_bonus_bad=cu(part2_bonus[1]), part1_bonus_pool=cu(part1_bonus[0]), part1_bonus_good_sep=cu(part1_bonus[1]), part1_bonus_bad_sep=cu(part1_bonus[2]), current_parameterization=current_parameterization, chosen_decision=chosen_decision, label_pool=C.LABEL_POOL[player.round_number - 1], label_sep=C.LABEL_SEP[player.round_number - 1], stage2_rounds=player.round_number - 5, stage_of_chosen_decision=1 if chosen_decision_index < 6 else 2, cq1_label=cq1_label, cq2_label=cq2_label ) class EnvironmentStage(Page): form_model = 'player' form_fields = ['environment_choice'] def vars_for_template(player: Player): pp = player.participant ps = player.session current_parameterization = pp.param_rounds[player.round_number - 1] chosen_decision_index = pp.chosen_decisions chosen_decision = chosen_decision_index if chosen_decision_index < 6 else chosen_decision_index - 5 part2_bonus = ps.parameterization[current_parameterization - 1][-2:] part1_bonus = ps.parameterization[current_parameterization - 1][:3] label = 'Which task do you want the computers to solve in part 1?' if pp.det \ else 'Which task do you want the computer to solve in part 1?' return dict( comp_type=pp.compType[player.round_number - 1], part2_bonus_good=cu(part2_bonus[0]), part2_bonus_bad=cu(part2_bonus[1]), part1_bonus_pool=cu(part1_bonus[0]), part1_bonus_good_sep=cu(part1_bonus[1]), part1_bonus_bad_sep=cu(part1_bonus[2]), current_parameterization=current_parameterization, chosen_decision=chosen_decision, label_pool=C.LABEL_POOL[player.round_number-1], label_sep=C.LABEL_SEP[player.round_number-1], label=label, stage2_rounds=player.round_number - 5, stage_of_chosen_decision=1 if chosen_decision_index < 6 else 2, decision_name = C.LABEL_POOL[player.round_number - 1] + '/' + C.LABEL_SEP[player.round_number - 1] ) @staticmethod def error_message(player, values): if player.session.config['development']: values['environment_choice'] = True player.environment_choice = True elif values['environment_choice'] is None: return 'Please, answer the question.' @staticmethod def before_next_page(player, timeout_happened): environment_choice_MaybeNone = player.field_maybe_none('environment_choice') if player.session.config['development'] and environment_choice_MaybeNone is None: player.environment_choice = True if player.participant.det and player.round_number == 5: player.participant.det = False player.participant.base = True if player.participant.salient and player.round_number == 5: player.participant.salient = False player.participant.base = True # class PostDifficultyChoice(Page): # form_model = 'player' # form_fields = ['cq_part2'] # # def vars_for_template(player: Player): # pp = player.participant # chosen_decision_index = pp.chosen_decisions # chosen_decision = chosen_decision_index if chosen_decision_index < 6 else chosen_decision_index - 5 # current_parameterization = pp.param_rounds[player.round_number - 1] # if pp.treatment == 'deterministic' and chosen_decision_index < 6: # label = 'Will you learn how much money each computer produced in part 1?' # elif pp.treatment == 'salient' and chosen_decision_index < 6: # label = "Will we tell you the computer's quality?" # else: # label = 'Will you learn how much money the computer produced in part 1?' # return dict( # comp_type=player.participant.compType[player.round_number - 1], # current_parameterization=current_parameterization, # chosen_decision=chosen_decision, # label_pool=C.LABEL_POOL[player.round_number - 1], # label_sep=C.LABEL_SEP[player.round_number - 1], # label=label, # environment_chosen_decision=player.environment_choice, # ) # class ObserveMistakes(Page): # @staticmethod # def vars_for_template(player: Player): # pp = player.participant # ps = player.session # chosen_decision_index = pp.chosen_decisions # chosen_decision = chosen_decision_index if chosen_decision_index < 6 else chosen_decision_index - 5 # part1_bonus = ps.parameterization[player.participant.param_rounds[player.round_number - 1] - 1][:3] # myDict = dict(chosen_decision=chosen_decision, # environment_chosen_decision=player.environment_choice, # label_pool=C.LABEL_POOL[player.round_number - 1], # label_sep=C.LABEL_SEP[player.round_number - 1], # stage_of_chosen_decision=1 if chosen_decision_index < 6 else 2, # part1_bonus_pool=cu(part1_bonus[0]), # part1_bonus_good_sep=cu(part1_bonus[1]), # part1_bonus_bad_sep=cu(part1_bonus[2]), # current_parameterization=pp.param_rounds[player.round_number - 1], # comp_type=pp.compType[player.round_number - 1], # ) # # Below we compute payoffs # # if pp.treatment == 'deterministic' and chosen_decision_index < 6: # # if environment_chosen_decision: # pooling chosen # # payoff_part1 = ps.parameterization[pp.param_rounds[chosen_decision_index - 1] - 1][0] * 2 # # pp.part1_payoffs.append(payoff_part1) # # else: # separating chosen # # payoff_part1_good = ps.parameterization[pp.param_rounds[chosen_decision_index - 1] - 1][1] # # payoff_part1_bad = ps.parameterization[pp.param_rounds[chosen_decision_index - 1] - 1][2] # # payoff_part1 = payoff_part1_good + payoff_part1_bad # # pp.part1_payoffs.append(payoff_part1) # # myDict.update(payoff_part1_good=cu(payoff_part1_good), # # payoff_part1_bad=cu(payoff_part1_bad)) # # else: # if player.environment_choice: # pooling chosen # payoff_part1 = ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][0] # else: # separating chosen # if pp.compType[player.round_number - 1] == 1: # if comp is Good # payoff_part1 = ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][1] # else: # if comp is Bad # payoff_part1 = ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][2] # pp.part1_payoffs.append(payoff_part1) # myDict.update(payoff_part1=cu(payoff_part1)) # # if not pp.treatment == 'base': # # pp.part1_payoffs.append(payoff_part1) # return myDict class BonusChoice(Page): form_model = 'player' form_fields = ['bonusChoicePool', 'bonusChoiceSepGood', 'bonusChoiceSepBad'] def vars_for_template(player: Player): pp = player.participant ps = player.session chosen_decision_index = pp.chosen_decisions chosen_decision = chosen_decision_index if chosen_decision_index < 6 else chosen_decision_index - 5 part2_bonus = ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][-2:] part1_bonus = ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][:3] # environment_chosen_decision = player.environment_choice payoff_part1_good = ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][1] payoff_part1_bad = ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][2] stage_of_chosen_decision = 1 if chosen_decision_index < 6 else 2 return dict( comp_type=pp.compType[player.round_number - 1], part2_bonus_good=cu(part2_bonus[0]), part2_bonus_bad=cu(part2_bonus[1]), part1_bonus_pool=cu(part1_bonus[0]), part1_bonus_good_sep=cu(part1_bonus[1]), part1_bonus_bad_sep=cu(part1_bonus[2]), current_parameterization=pp.param_rounds[player.round_number - 1], chosen_decision=chosen_decision, label_pool=C.LABEL_POOL[player.round_number - 1], label_sep=C.LABEL_SEP[player.round_number - 1], stage_of_chosen_decision=stage_of_chosen_decision, # environment_chosen_decision=environment_chosen_decision, # payoff_part1=cu(pp.part1_payoffs[player.round_number-1]), # payoff_part1_indiv=cu(pp.part1_payoffs[stage_of_chosen_decision-1]/2), # payoff_part1_good=cu(payoff_part1_good), # payoff_part1_bad=cu(payoff_part1_bad), label_Pool='If the computer solves the ' + str(C.LABEL_POOL[player.round_number-1]) + ' task in part 1 (and hence you will not know its quality):', label_Sep_Good='If the computer faces the ' + str(C.LABEL_SEP[player.round_number-1]) + ' task in part 1 and is of the Good Quality:', label_Sep_Bad='If the computer faces the ' + str(C.LABEL_SEP[player.round_number - 1]) + ' task in part 1 and is of the Bad Quality:', decision_name=C.LABEL_POOL[player.round_number - 1] + '/' + C.LABEL_SEP[player.round_number - 1] ) @staticmethod def before_next_page(player, timeout_happened): bonusChoicePool_MaybeNone = player.field_maybe_none('bonusChoicePool') bonusChoiceSepGood_MaybeNone = player.field_maybe_none('bonusChoiceSepGood') bonusChoiceSepBad_MaybeNone = player.field_maybe_none('bonusChoiceSepBad') if player.session.config['development'] and bonusChoicePool_MaybeNone is None: player.bonusChoicePool = 1 if player.session.config['development'] and bonusChoiceSepGood_MaybeNone is None: player.bonusChoiceSepGood = 1 if player.session.config['development'] and bonusChoiceSepBad_MaybeNone is None: player.bonusChoiceSepBad = 1 @staticmethod def error_message(player, values): if not player.session.config['development'] and values['bonusChoicePool'] is None: return 'Please, answer the question.' if not player.session.config['development'] and values['bonusChoiceSepGood'] is None: return 'Please, answer the question.' if not player.session.config['development'] and values['bonusChoiceSepBad'] is None: return 'Please, answer the question.' class PostBonusChoice(Page): @staticmethod def vars_for_template(player: Player): pp = player.participant ps = player.session if player.environment_choice: # pooling chosen payoff_part1 = cu(ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][0]) if player.bonusChoicePool == 1: # if variable payment is chosen if pp.compType[player.round_number - 1] == 1: # variable payment chosen and computer is good payoff_part2 = cu(ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][3]) else: # variable payment chosen and computer is bad payoff_part2 = cu(ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][4]) else: # if outside option is chosen payoff_part2 = C.OUTSIDE_OPTION else: # separating chosen if pp.compType[player.round_number - 1] == 1: # if comp is Good payoff_part1 = cu(ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][1]) if player.bonusChoiceSepGood == 1: # if variable payment is chosen payoff_part2 = cu(ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][3]) else: # if outside option is chosen payoff_part2 = C.OUTSIDE_OPTION else: # if comp is Bad payoff_part1 = cu(ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][2]) if player.bonusChoiceSepBad == 1: # if variable payment is chosen payoff_part2 = cu(ps.parameterization[pp.param_rounds[player.round_number - 1] - 1][4]) else: # if outside option is chosen payoff_part2 = C.OUTSIDE_OPTION pp.part1_payoffs.append(payoff_part1) pp.part2_payoffs.append(payoff_part2) part2_sep = True if (player.environment_choice and player.bonusChoicePool == 1) or \ (not player.environment_choice and pp.compType[player.round_number - 1] == 1 and player.bonusChoiceSepGood == 1) or \ (not player.environment_choice and pp.compType[ player.round_number - 1] == 0 and player.bonusChoiceSepBad == 1) else False # if not pp.treatment == 'base': # pp.part2_payoffs.append(payoff_part2) return dict( payoff_part2=payoff_part2, payoff_part1=payoff_part1, payoff_total = payoff_part1+payoff_part2, part2_sep = part2_sep, label_pool=C.LABEL_POOL[player.round_number - 1], label_sep=C.LABEL_SEP[player.round_number - 1], decision_name=C.LABEL_POOL[player.round_number - 1] + '/' + C.LABEL_SEP[player.round_number - 1] ) # @staticmethod # def before_next_page(player: Player, timeout_happened): # pp = player.participant # all_participant_choices = [] # all_bonus_participant_choices = [] # if not pp.treatment == 'base': # in these treatments we only record the last bonusChoice since its the only one elicited # pp.environment_choice = player.environment_choice # pp.bonus_choices = player.bonusChoice # else: # if player.round_number == C.NUM_ROUNDS: # in baseline we record the last bonusChoice and the one in round 5, which are the two we elicit # all_participant_choices.append(player.in_round(5).environment_choice) # all_participant_choices.append(player.environment_choice) # pp.environment_choice = all_participant_choices # all_bonus_participant_choices.append(player.in_round(5).bonusChoice) # all_bonus_participant_choices.append(player.bonusChoice) # pp.bonus_choices = all_bonus_participant_choices class Transition(Page): @staticmethod def is_displayed(player: Player): return player.round_number == C.NUM_ROUNDS # class TransitionDet(Page): # vars_for_template = vars_for_template1 # # @staticmethod # def is_displayed(player: Player): # return player.round_number == 5 and player.participant.treatment == 'deterministic' class TransitionSalient(Page): vars_for_template = vars_for_template1 @staticmethod def is_displayed(player: Player): return player.round_number == 5 and player.participant.treatment == 'salient' class Hypothetical(Page): form_model = 'player' form_fields = ['explain', 'advice'] @staticmethod def vars_for_template(player): ps = player.session if player.environment_choice: label = 'In part 1 of the last decision, you chose the ' + \ C.LABEL_POOL[-1] + ' task. Why did you choose this task?' else: label = 'In part 1 of the last decision, you chose the ' + \ C.LABEL_SEP[-1] + ' task. Why did you choose this task?' adv_label = 'If you could advise another participant on the last decision of whether the computer ' \ 'solves the ' + C.LABEL_POOL[-1] + ' or the ' + C.LABEL_SEP[-1] + ' task, which would you advise ' \ 'them to choose?' current_parameterization = player.participant.param_rounds[- 1] part2_bonus = ps.parameterization[current_parameterization - 1][-2:] part1_bonus = ps.parameterization[current_parameterization - 1][:3] return dict( explain_label=label, advice_label=adv_label, label_pool=C.LABEL_POOL[- 1], label_sep=C.LABEL_SEP[- 1], stage_of_chosen_decision=2, current_parameterization=current_parameterization, part2_bonus_good=cu(part2_bonus[0]), part2_bonus_bad=cu(part2_bonus[1]), part1_bonus_pool=cu(part1_bonus[0]), part1_bonus_good_sep=cu(part1_bonus[1]), part1_bonus_bad_sep=cu(part1_bonus[2]), ) @staticmethod def error_message(player, values): if not player.session.config['development'] and (values['advice'] is None or values['explain'] is None): return 'Please, answer the questions.' @staticmethod def is_displayed(player: Player): return player.round_number == C.NUM_ROUNDS page_sequence = [ Parameterization, CQIntro, CQ, # PostDifficultyChoice, # ObserveMistakes, BonusChoice, EnvironmentStage, PostBonusChoice, Hypothetical, Transition, # TransitionDet, # TransitionSalient ]