summaryrefslogtreecommitdiff
path: root/master_thesis/frensch_task.py
blob: 3b3e5117f250fff7cbc834d80a9cdf946864a614 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
#!/usr/bin/env python3
from __future__ import annotations

from psychopy import constants, core, event, gui, visual
from collections import namedtuple
import frensch_procedures
import random
from pprint import pprint
import pandas as pd
import pickle


DisplayVariable = namedtuple("DisplayVariable", ["name", "values"])
DisplayProcedure = namedtuple("DisplayProcedure", ["procedure", "solution"])

intro_text = """Vielen Dank dass Sie bei unserem Experiment zum menschlichen Lernen teilnehmen!

In diesem Experiment arbeiten Sie in einem Labor, welches die Wasserqualität analysiert.
Dafür bekommen Sie einige Wasserproben und müssen für jede Probe verschiedene Kennwerte ermitteln.

Jede Wasserprobe besitzt bereits verschiedene gemessene Werte, wie der Algengehalt, welche für die Berechnungen benutzt werden.


(Leertaste zum Fortfahren)
"""

intro2_text = """Im folgenden müssen sie verschiedene Rechenaufgaben lösen um die Kennwerte zu berechnen.
Verwenden Sie die gewohnten Rechenregeln und geben sie Ihre Lösung bitte immer als zweistellige Zahl ein, und bestätigen mit Enter.
Die Werte der Variablen (z.B. Algen) werden oben am Bildschirm angezeigt.

Manche Variablen haben mehrere mögliche Werte; "Gifte_2" besagt z.B., dass der zweite Wert der Giftwerte zu verwenden ist.
"_max/_min" besagt, dass der maximale/minimale Wert dieser Variable zu verwenden ist.

Als letzte Berechnung müssen Sie den Gesamtwert der Wasserqualität aus ihren Ergebnissen berechnen.

Nach jeder Aufgabe können Sie kurz pausieren.

Drücken Sie die Leertaste um zu beginnen"""


def experiment_shutdown():
    WIN.close()
    core.quit()


WIN = visual.Window((1920, 1080), fullscr=True, units="pix")
MONITOR_FPS = 60
TRAIN_TRIALS = 75
TEST_TRIALS = 50
# TRAIN_TRIALS = 3
# TEST_TRIALS = 3
ORDER_CONDITIONS = ["fixed", "random", "blocked"]
PROCEDURE_KEYS = ["1", "2", "3", "4", "5", "6", "overall"]

# Cancel experiment anytime with Esc
event.globalKeys.add(key="escape", func=experiment_shutdown, name="shutdown")


def generate_variable_display(varx: list[DisplayVariable], x_positions: list[int]):
    assert len(varx) == len(x_positions)

    stims = []

    def gen_value_stims(values, x, y, offset):
        for value in values:
            y -= offset
            value_stim = visual.TextBox2(
                WIN,
                pos=(x, y),
                text=value,
                # size=200,
                letterHeight=75,
                alignment="center",
            )
            stims.append(value_stim)

    y = 550
    offset = 100

    for var, x_pos in zip(varx, x_positions):
        stim_var = visual.TextBox2(
            WIN,
            pos=[x_pos, y],
            text=var.name,
            # size=[1000, 1000],
            letterHeight=40,
            alignment="center",
        )
        stims.append(stim_var)

        gen_value_stims(var.values, x_pos, y, offset)

    return stims


def generate_procedure_display(procedure: DisplayProcedure, position):
    stim_procedure = visual.TextBox2(
        WIN,
        pos=position,
        text=procedure.procedure,
        size=[1000000, 1000],
        letterHeight=40,
        alignment="center",
    )
    return stim_procedure


def generate_all_watersamples(n):
    samples = []
    for _ in range(n):
        samples.append(frensch_procedures.constrained_WaterSample())
    return samples


def run_trial(water_sample, procedure_keys: list, condition):
    water_sample.print_all()

    if condition == "random":
        random.shuffle(procedure_keys)

    solid = DisplayVariable("Mineralien", [water_sample.solid])
    algae = DisplayVariable("Algen", [water_sample.algae])
    lime = DisplayVariable("Sandstein", water_sample.lime)
    toxin = DisplayVariable("Gifte", water_sample.toxin)
    x_positions = [-800, -400, 400, 800]

    stims = generate_variable_display([solid, algae, lime, toxin], x_positions)

    procedures = water_sample.procedure_dict()

    answers = []
    proc_x = -600
    proc_y = -100
    answ_x = 200
    answ_y = -100
    y_offset = 80
    for proc in procedure_keys:
        p = DisplayProcedure(procedures[proc][1], procedures[proc][0])
        p = generate_procedure_display(p, (proc_x, proc_y))
        stims.append(p)
        proc_y -= y_offset

        stim_answer_equals = visual.TextBox2(
            WIN,
            "=",
            letterHeight=50,
            pos=(answ_x - 100, answ_y),
            size=[150, 70],
            alignment="center",
        )
        stims.append(stim_answer_equals)

        stim_answer_box = visual.TextBox2(
            WIN,
            "",
            letterHeight=50,
            pos=(answ_x, answ_y),
            size=[150, 70],
            editable=True,
            fillColor="white",
            color="black",
            alignment="center",
        )
        stims.append(stim_answer_box)
        answ_y -= y_offset

        not_finished = True
        answer = "not answered"
        start_time = core.monotonicClock.getTime()
        while not_finished:
            stim_answer_box.hasFocus = True
            for stim in stims:
                stim.draw()
            WIN.flip()
            answer = stim_answer_box.text
            if "\n" in answer:
                if answer[0].isdigit() and answer[1].isdigit():
                    not_finished = False
                else:
                    stim_answer_box.text = answer[:-1]
            if len(answer) > 2:
                stim_answer_box.text = stim_answer_box.text[:2]
        answer_time = core.monotonicClock.getTime() - start_time
        answers.append((answer.replace("\n", ""), answer_time))

    # event.waitKeys(keyList=["space"])

    return answers, procedure_keys


pause = visual.TextBox2(
    WIN,
    """Drücken Sie die Leertaste um mit der nächsten Wasserprobe fortzufahren""",
    letterHeight=50,
    alignment="center",
)

intro = visual.TextBox2(
    WIN, intro_text, letterHeight=40, alignment="center", size=(100000, 100000)
)
intro.draw()
WIN.flip()
event.waitKeys(keyList=["space"])

intro2 = visual.TextBox2(
    WIN, intro2_text, letterHeight=40, alignment="center", size=(100000, 100000)
)
intro2.draw()
WIN.flip()
event.waitKeys(keyList=["space"])

train_procedures = PROCEDURE_KEYS[:-1]
random.shuffle(train_procedures)
transfer_procedure = train_procedures[-1]
train_procedures = train_procedures[:-1]
train_procedures.append(PROCEDURE_KEYS[-1])

all_samples = generate_all_watersamples(TRAIN_TRIALS + TEST_TRIALS)
pprint(all_samples)


results = {}
for i in range(TRAIN_TRIALS):
    print(train_procedures)
    answer, procedure_keys = run_trial(
        all_samples[i], train_procedures, ORDER_CONDITIONS[0]
    )
    answer_dict = {}
    answer_dict["procedure_order"] = procedure_keys
    answer_dict["water_sample"] = all_samples[i].water_sample_dict()
    for proc, key in zip(answer, procedure_keys):
        answer_dict[key] = {"answer": proc[0], "time": proc[1]}

    results[f"train_{i}"] = answer_dict

    pause.draw()
    WIN.flip()
    event.waitKeys(keyList=["space"])


phase = visual.TextBox2(
    WIN,
    """Sie haben den ersten Teil geschafft! Der zweite Teil ist etwas kürzer als der erste

Drücken Sie die Leertaste um anzufangen.""",
    letterHeight=40,
    alignment="center",
)
phase.draw()
WIN.flip()
event.waitKeys(keyList=["space"])

train_procedures[2] = transfer_procedure
for i in range(TEST_TRIALS):
    print(train_procedures)
    answer, procedure_keys = run_trial(
        all_samples[TRAIN_TRIALS + i], train_procedures, ORDER_CONDITIONS[0]
    )
    answer_dict = {}
    answer_dict["procedure_order"] = procedure_keys
    answer_dict["water_sample"] = all_samples[TRAIN_TRIALS + i].water_sample_dict()
    for proc, key in zip(answer, procedure_keys):
        answer_dict[key] = {"answer": proc[0], "time": proc[1]}

    results[f"test_{i}"] = answer_dict

    pause.draw()
    WIN.flip()
    event.waitKeys(keyList=["space"])

pprint(results)

df = pd.DataFrame.from_dict(results, orient="index")
df.to_csv("vp_results.csv")

with open("vp.pkl", "wb") as file:
    pickle.dump(results, file)

outro_text = "Das Experiment ist nun vorüber.\n\nVielen Dank für Ihre Teilnahme!"
outro = visual.TextBox2(
    WIN, outro_text, letterHeight=40, alignment="center", size=(100000, 100000)
)
outro.draw()
WIN.flip()
event.waitKeys(keyList=["space"])