# quiztalker.py by Bruce_Landon@douglas.bc.ca 10-22-06 # works with display only once then close and restart IDLE # this should work most easily with glossary style questions # question lines need to be preporocesed to wrap before being in the list to show correctly from ccm.env.objects import * import random import pyTTS tts = pyTTS.Create() #set the speech rate tts.Rate = 4 #set the speech volume percentage (0-100%) tts.Volume = 60 #get a list of all the available voice actors #print tts.GetVoiceNames() #explicitly set a voice from MS standard voices #tts.SetVoiceByName('MSSam') tts.SetVoiceByName('MSMike') #tts.SetVoiceByName('MSMary') #explicitly set a voice from additional voices added #tts.SetVoiceByName('CMUKal') #tts.SetVoiceByName('VW Kate') #tts.SetVoiceByName('VW Paul') #speak the text #tts.Speak('This is the sound of my voice.') thekey='4255442232' instructions=""" You will now be shown a series of questions. Answer each one by pressing the appropriate letter. Press any key to start. """ questions=[ """ 1. The sequence of brain regions from oldest to newest is: A) limbic system; brainstem; cerebral cortex. B) brainstem; cerebral cortex; limbic system. C) limbic system; cerebral cortex; brainstem. D) brainstem; limbic system; cerebral cortex. E) cerebral cortex; brainstem; limbic system. """, """ 2. Simple thinking strategies that allow us to solve problems and make judgments efficiently are called: A) semantics. B) heuristics. C) prototypes. D) algorithms. E) fixations. """, """ 3. College students routinely underestimate how much time it will take them to complete assigned course projects. This best illustrates the impact of: A) framing. B) functional fixedness. C) the availability heuristic. D) the representativeness heuristic. E) overconfidence. """, """ 4. Attribution theory was designed to account for: A) the process of revealing intimate aspects of ourselves to others. B) the impact of both heredity and environment on social behavior. C) social facilitation and social loafing. D) the loss of self-awareness that occurs in group situations. E) how people explain others` behavior. """, """ 5. Whorf`s linguistic determination hypothesis states that: A) language is primarily a learned ability. B) language is partially an innate ability. C) the size of a person's vocabulary reflects his or her intelligence. D) our language shapes our thinking. """, """ 6. During a televised political debate, the Republican and Democratic candidates each argued that the results of a recent public opinion poll supported their party`s platform regarding sexual harassment. Because both candidates saw the information as supporting their belief, it is clear that both were victims of: A) functional fixedness. B) mental set. C) belief bias. D) confirmation bias. """, """ 7. Failing to solve a problem that requires using an object in an unusual way illustrates the phenomenon of A) mental set. B) functional fixedness. C) framing. D) belief perseverance. E) overconfidence. """, """ 8. The mind processes information like a computer is a statement most likely made by a A) structuralist B) cognitive psychologist C) phenomenologist D) behaviorist """, """ 9. Cognitive psychologists are most concerned in learning with the role of prior A) activity B) reinforcement C) knowledge D) socialization """, """ 10. Compared to behavioral psychology, cognitive psychology places more emphasis on A) rote learning B) mental processes C) observational learning D) the environment """ ] class MultipleChoiceEnvironment(ObjectEnvironment): def start(self): self.text=Object(isa='text',x=0.5,y=0.5) self.text.value=instructions tts.Speak(instructions) # add voice self.currentQuestion=None self.answers=[] yield 'key' # wait for any key to be pressed self.text.value=None yield 0.5 x=str(questions[0]) # split into stem and choices stem='' choiceA='' choiceB='' choiceC='' choiceD='' choiceE='' stem=x[0:(x.find('\nA)'))] choiceA=x[(x.find('\nA)')):(x.find('\nB)'))] choiceB=x[(x.find('\nB)')):(x.find('\nC)'))] choiceC=x[(x.find('\nC)')):(x.find('\nD)'))] if choiceD.find('\nE)') > 0 : choiceD=x[(x.find('\nD)')):(x.find('\nE)'))] choiceE=x[(x.find('\nD')):] else : choiceD=x[(x.find('\nD')):] self.text.value=questions[0] # show the first question # say stem - translated in memory tts.Speak(stem) # add voice self.currentQuestion=0 # remember what question we are on # model makes a choice # say choices - checking in memory for closeness to translated stem if choiceA != '' : tts.Speak(choiceA) if choiceB != '' : tts.Speak(choiceB) if choiceC != '' : tts.Speak(choiceC) if choiceD != '' : tts.Speak(choiceD) if choiceE != '' : tts.Speak(choiceE) @ccm.parallelize def press(self,key): #fix to add in model if self.currentQuestion is None: return # make sure we are waiting # for a response if key not in 'abcdeABCDE': return # make sure it's a valid key self.answers.append(key) # remember the answer self.text.value=None nextQuestion=self.currentQuestion+1 self.currentQuestion=None if nextQuestion 0 : choiceD=x[(x.find('\nD)')):(x.find('\nE)'))] choiceE=x[(x.find('\nD')):] else : choiceD=x[(x.find('\nD')):] self.text.value=questions[nextQuestion] # show the next question # say stem - translated in memory tts.Speak(stem) # add voice # brief pause self.currentQuestion=nextQuestion # model makes a choice if choiceA != '' : tts.Speak(choiceA) if choiceB != '' : tts.Speak(choiceB) if choiceC != '' : tts.Speak(choiceC) if choiceD != '' : tts.Speak(choiceD) if choiceE != '' : tts.Speak(choiceE) else: log.answers=self.answers # record the answers self.stop() ######### actr model for reading and making a choice ########################## log=ccm.log() env=MultipleChoiceEnvironment(log=log) import ccm.display ccm.display.Display(env) env.run(rate=1) # to run at real-time print 'thekey=' + thekey env.stop() #env.run() #does not work as text in IDLE