Psychology of Perception PSYC Spring 2017 Laboratory 2: Perception of Loudness

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PSYC 4165-100 Laboratory 2: Perception of Loudness

Lab Overview Loudness is a psychological dimension of sound experience that depends on several physical dimensions of the sound stimulus (intensity, frequency, and complexity). This laboratory exercise has two purposes: 1. to test the null hypothesis that sound loudness is not influenced by sound complexity; 2. to investigate the mathematical relationship between physical intensity and the magnitude of the psychological experience using the direct magnitude estimation. The simplest relationship between physical and psychological magnitude would be linear: S = b 0 + b 1 I Linear Function (1) where S is the magnitude of psychological experience; I is the intensity of the physical stimulus; b 0 is the y-intercept; and b 1 is the slope of the line. If psychological magnitude is plotted on the y-axis as a function of physical intensity on the x-axis, a straight line will be found if Equation 1 correctly describes the relationship between them. G. T. Fechner (1801 1887), concluded, however, that sensation magnitude was a function of the logarithm of the physical intensity (Fechner, 1860, 1966): S = b 0 + b 1 log( I ) Fechner s Law (2) If Fechner's law were a valid description of the relationship, then when psychological magnitude is plotted on the y-axis as a function of the logarithm of physical intensity on the x-axis, a straight line would be formed. S. S. Stevens, after extensive experimentation, concluded that neither Equation 1 nor Equation 2 were valid. He proposed that the relationship between psychological magnitude and physical intensity is a power function (Stevens, 1961): S = b 0 I b 1 Stevens Law (3) The relationship predicted by Steven s Law is shown in the top panel of Figure 1. If the power function were a valid description of the relationship between psychological magnitude and physical intensity, when the logarithm of the psychological magnitude is plotted on the Page 2 of 13 24 February 2017

y-axis as a function of the logarithm of physical intensity on the x-axis, the data would form a straight line (shown in the bottom panel of Figure 1). This property of the power function is seen by taking the logarithm of both sides of Equation 3. A simple linear equation results: log( S) = log( b 0 ) + b 1 log( I ) Stevens Law (4) Equation 4 is in the familiar linear form y = b 0 + b 1 x, with the slope b 1 equal to the exponent of the power law. Judged Loudness (linear scale) 0 100 250 Stevens' Law Predictions 0.0 0.1 0.2 0.3 0.4 0.5 0.6 Sound Pressure Level (linear scale) Judged Loudness (log scale) 2 10 50 Stevens' Law Predictions 0.002 0.005 0.020 0.050 0.200 0.500 Sound Pressure Level (log scale) Figure 1: Loudness ratings of sine (open circles) and square wave (filled squares) sounds of equal intensity. The upper panel is ploted with linear axes; the lower with logarithmic axes. The results of psychological scaling experiments by S. S. Stevens and others (Stevens, 1961; Teghtsoonian, 1971) suggest that the exponent of the power function is different for different sensory modalities. The exponent for brightness is about 0.3, for loudness about 0.6. For heaviness and electric current the measured exponent is greater than 1.0. Experiment In this experiment, you will make numerical estimations of the loudness magnitude of two types of tones: a 440 Hz sine wave (a simple stimulus) and a 440 Hz square wave (a complex stimulus). These tones will be presented at 21 different physical intensities ranging from approximately 0.002 N/m 2 (40 db) to.63 N/m 2 (90 db). You will test the hypothesis Page 3 of 13 24 February 2017

that stimulus complexity (a square wave is more complex than a sine wave) does not affect the loudness of a tone. Table 1. Possible Results and their Findings for the Complexity Effect Possible Result F ~ 1.0 F >> 1.0 F >> 1.0 Meaning of that Result Waveform complexity has no effect on perceived loudness. Simple waveforms are perceived as louder than complex waveforms. Complex waveforms are perceived as louder than simple waveforms. By the end of this lab you should be able to: Measure the relationship between physical stimulus intensity and sensation magnitude using direct magnitude estimation. Carry out appropriate statistical tests of hypotheses Page 4 of 13 24 February 2017

LAB INSTRUCTIONS Sound Check 1. You will need headphones for this lab. You can use your own headphones, or borrow a pair of the official PSYC 4165 headphones. 1. Plug in your headphones to the back of the computer. 2. Download Lab 2 Tools from the course website: 1. In a web browser, navigate to the course website and download Lab_2_Tools. Move Lab_2_Tools folder from the Downloads folder, to the Desktop PROTIP: Keep all your working files in the Lab_2_Tools folder on the Desktop, that way you won t overlook a crucial file when you logout! 3. Start PsychoPy 2 application, and Open the loudness calibration script: 1. From the File menu, Open ( O) Lab_2_Tools > loudness CALIBRATION > loudness_calibration.psyexp 2. Run the script ( R). 3. Follow the onscreen instructions, also shown below: 1. Verify your headphones are plugged into the computer. 2. Using the keyboard volume controls, turn the volume down to a low to mid-level of volume. 3. Once you start the calibration, you will hear four tones (2 sine and 2 square) at two levels (40 and 90 db). 4. Your task is to use the keyboard volume controls to increase the volume until you can "just notice" the 40 db tones, but that the 90 db tones are loud but NOT painful. 5. Repeat as necessary. 4. Once you have calibrated the volume, do not adjust the volume for the duration of the lab. Fix PsychoPy script 5. Open the loudness experiment script 1. From the File menu, Open ( O) Lab_2_Tools > loudness EXPERIMENT > loudness_experiment.psyexp This is a relatively simple experiment script. You already have experience adding components in PsychoPy, so today s experiment will be a piece of cake! You will be adding components and loops to each Routine in the experiment. The Flow of this experiment is shown in Figure 2. Page 5 of 13 24 February 2017

Figure 2: Flow panel for the "fixed" loudness_experiment.psyexp Psychopy script. 6. Select the Welcome routine in the Flow panel (bottom) 7. Add a mouse component to the Welcome routine. The properties are shown below: 8. Add a sound component to the Practice routine. Page 6 of 13 24 February 2017

Page 7 of 13 24 February 2017

9. Add a Loop around the Practice routine (see Figure 2 above for help positioning this loop). 1. Click Insert Loop in the Flow panel 2. In the Flow panel, move the mouse left and right to position the black dots to position the ends of the loop. (you did this last week 3. Use the Browse button to select the conditions file (Lab 2 Tools > loudness experiment > conditions > condition.stimuli.csv) Page 8 of 13 24 February 2017

10. Add a mouse component to the Start_Trials routine. Page 9 of 13 24 February 2017

11. Add a rating component to the trial routine. Settings for Basic Tab: Settings for Advanced Tab (rating component): Page 10 of 13 24 February 2017

12. Test the script to ensure that it works properly. 1. If the script crashes, the error message usually gives you a clue as to where/when the problem occurred. Double check your settings! 2. Remember to include $ in the appropriate settings. 3. Make sure the names of your objects match EXACTLY, these are casesensitive! 13. Run a few trials to test whether the experiment is saving your data properly. 1. Respond to the perceived loudness by using the mouse to click on the rating scale, then click the button below the rating scale (the one with the number) to confirm your response. 2. After a few responses, press the Escape key to end the experiment Page 11 of 13 24 February 2017

3. Verify your latest CSV file properly recorded your responses (Lab 2 Tools > loudness experiment > data) 4. The values of your rating responses should be numerical values in the rating.response column. PROTIP: Once you get the experiment script in working order, you might find it helpful to delete all the excess files in the data folder before taking the experiment for reals. Collect Data The 21 intensities of the 440 Hz sine wave tone and the 21 intensities of the square wave tone will be presented twice in a random sequence. After each presentation of a tone, use the rating scale assign a number which best represents its subjective loudness to you. There is no right or wrong answer. Pay attention to your loudness experience and assign whatever number seems appropriate to represent the magnitude of your experience. If one sound seems twice as loud as a previous sound, then the number should be twice as big. Do not use zero unless you had no sensation on a trial (not very likely if you followed the calibration instructions!). All 42 stimuli will be presented in each block of 42 trials. Remember, your task is not to guess which stimulus was given, but is to pay attention to your experienced loudness and assign a number to represent it. 14. Once you have completed the experiment, verify that your data file is complete 1. Open the most recent CSV file (use the timestamp in the filename) 2. The CSV file should have 87 total rows: a. 1 header row b. 2 blank rows from the mouse clicks that advanced the experiment c. 84 trials (2 x 42 stimulus conditions) 15. Once verified, upload your CSV to D2L (Lab 2 Dropbox). Everyone s data will be the basis for the group data analysis next week! Individual Data Analysis After the experiment is finished, use the R script Lab 2 Individual Data Analysis.Rmd to analyze your data. Execute the Code chunks one at a time. Page 12 of 13 24 February 2017

References Fechner, G. T. (1860). Elemente der Psychophysik. Leipzig, Germany: Breitkopf and Härtel. Fechner, G. T. (1966). Elements of Psychophysics (H. E. Adler, Trans. Vol. 1). New York: Holt, Rinehart and Winston. Stevens, S. S. (1961). To Honor Fechner and Repeal His Law. Science, 133(3446), 80-86. doi: 10.1126/science.133.3446.80 Teghtsoonian, R. (1971). On the exponents in Stevens Law and the constant in Ekman s Law. Psychological Review, 78(1), 71 80. Page 13 of 13 24 February 2017