Student 3
Processed Data
Pearson’s Correlation Test:
Tempo and Response Time:
Student 1: .693617
Student 2: .844965
Student 3: .639486
Tempo and Performance Quality
Student 1: -.926984
Student 2: -.922726
Student 3: -.91517
Response Time and Performance Quality
Student 1: -.547585
Student 2: -.896101
Student 3: -.495064
Qualitative Analysis
Student 1
Student 2
Student 3
Conclusion/Evaluation/Improvements:
In this experiment, I wanted to test the tempo of music and how it affects the focus of students in both response time and performance quality. I picked out different pieces of classical music and measured their tempos with a metronome and collected the data in beats per minute. Next, I picked 3 test subjects who have all played Temple Run before—so they were decently experienced—and took them into a quiet room and tested their response time in a quiet room without music. Next, I let them listen to each song for about a minute to let the songs sink into their heads, and after a minute, I took their response times on the Response Timer app. After taking their response times, I had them play Temple Run and recorded their scores. This procedure was done after every piece. From my notes and research, I hypothesized that as the tempo of a music piece increased, the response time would increase, because a faster tempo will stimulate the Central Nervous System and bring the sympathetic nervous system create a “fight or flight” mentality. This will arouse the nervous system and make the body more aware and stressed, and the stress response could halt productivity and bring anxiety which could slow response time and decrease productivity. The slower-beat music brought a “relaxing and renewing” feeling to my test subjects, and it brought the parasympathetic nervous system, which brought the body to rest, reducing stress, tenseness and anxiety. They were able to be more focused on their response times, so they had quicker response times during the slower pieces, and their scores in Temple Run were higher because they were relaxed and stress free; this made it easier for them to focus on the game.
My data fit very well with my hypothesis. The songs were listed in order of increasing tempo, and for the correlation between tempo and response time, there were some inconsistencies in the middle, but it was a general upward trend, showing that as the tempo increased, the response time was longer, and there was a direct correlation between those two variables. The graph Tempo vs. Response Time shows some inconsistencies to my hypothesis in the middle, but it is a general upward trend. These inconsistencies made me wonder if the medium tempo-ed songs were a nice medium between the two. They were just fast enough to stimulate the system, but not enough to bring out the anxious sympathetic nervous system. I did a Pearson’s Correlation Test between Tempo and Response time, and for each of the three trials, I got a positive number greater than .5. For a Pearson’s Correlation Test, if the result is positive, then it means that there may be direct correlation. If the result is 1, then there is absolute correlation between the two variables, but if the result is 0, then it means that there is no correlation. For tempo and response time, my numbers were .693617, .844965 and .639486. All of these numbers are positive and closer to 1, so there is a pretty heavy degree of correlation between the tempo of a piece of music and the response time one has as a reaction to the tempo. This supports my hypothesis because as the tempo increased, the time it took for my subject to respond also increased, so according to this experiment, as tempo increases, response time also increases.
For Tempo vs. Performance Quality, I hypothesized that as tempo increased, performance quality would decrease because of the anxiety and the stress. As shown in my data and my graphs, there was a general downward trend that showed the scores in Temple Run dropping as the music tempo was increasing. This was supported by the Pearson’s Correlation Test because my calculated numbers for that test was -.926984, -.922726, and -.91517. A negative number in the Pearson’s Correlation Test means that there is an inverse relationship, and just like the direct relationship, 0 means there is no correlation and -1 means that there is an absolute inverse correlation. My numbers are very close to -1, so we can see that there is definitely an inverse relationship between the tempo of a song and the performance quality of the person listening to the song. As the tempo increases, stress and anxiety would increase, and performance quality would go down. Lastly, I wanted to see the response time compared to the performance quality, because I hypothesized that it was an inverse relationship. As response time increased, the score on Temple Run had to have decreased because it is a game based on how fast the player can react to given obstacles. The graphs show the downward trend that as response time became longer, the score decreased, and the Pearson’s Correlation Tests also showed numbers of
-.547585, -.896101, and -.495064. These numbers show that there is an inverse correlation between the two variables, and that slower response time will lead to lower productivity. My test subjects noticed that when the tempo became faster, their heart rates increased, their hair stood up, their adrenaline rushed and they became tenser and anxious, even jittery at times, causing them to make “stupid mistakes” because of an “out of the blue spazz” which caused them to die during Temple Run.
From both my quantitative and qualitative analysis, I can conclude that the quicker the tempo of a song, the more stimulated the Central Nervous System becomes (sympathetic nervous system), and this increases anxiety and stress causing slower/longer reaction times thus decreasing productivity. The slower tempo songs were much more soothing, relaxing and renewing to the Central Nervous System (parasympathetic nervous system), and this minimal level of stress allowed my test subjects to be more focused, thus having a quicker response time a higher score on Temple Run (higher productivity). The null hypothesis must be rejected because from both the raw data and the Pearson’s Correlation Tests, there is in fact correlation among music tempo, response time and performance quality. Students 1 and 3 had their best scores during the silent trial, while student two had his best score during the slowest piece, but did very well during the silent trial. The silent trial, also known as the control actually gave the quickest response times and optimal or near optimal scores.
Improvements:
While doing my experiment, I noticed subtle reactions to the volume of the song. I realized that it was not only tempo that affected the stimulation of the nervous system. The loud music definitely made my test subjects more shocked and stimulated, causing them to be more accident prone, which could definitely have affected their death on Temple Run. Because I did not consider volume or the emphatic levels that the artists played the piece, there was no pattern of volume, but the volumes were different and scattered all over the place, and that could have been a factor that affected the experiment negatively. It could have increased the stimulus or decreased the stimulus without any sort of pattern. Next time, I will definitely consider volume as a factor into this and organize my experiment accordingly. One time during the experiment, I received a text message and this disrupted my test subject’s focus while she was playing Temple Run. I will know to turn off notifications the next time I do this experiment.
Along with volume, my test subjects cited the composition, or the key of the piece as a factor that stimulated or relaxed the brain. The major keys usually stimulated the brain while the minor keys depressed it. The abrupt sharps and flats and clash of instruments were quick, unexpected distractions that stimulated the nervous system. The next time I do this experiment, I will consider decreasing/making this detail uniform alongside volume, so the unwanted factors are not included in this experiment.
Just like any experiment, there are the uncontrollable factors at the time. The game Temple Run itself is different each round of play. Some rounds offer more opportunities than others by giving more or better power ups. This could have inflated or deflated the score, thus making the data less accurate. If I were testing performance quality next time, I would get a more uniform game that gives a fair opportunity to my test subjects instead of give them different unexpected scenarios and opportunities in an arcade-style game. Temple Run is also a game that requires high focus, and it is not a universal representation of test for performance quality. Some of my test subjects drank caffeine beforehand, so the next time, I will properly inform my test subjects to not take caffeinated items and eliminate intakes that are major influences/stimuli/depressants to the nervous system. My test subjects also had some inherent stress and weariness from homework (final extended essays due at midnight), sports etc, and the inherent stress or weariness is almost impossible to eliminate as a factor influencing the outcome of the data, but the next time, I would record their stress and do the experiment when they have lower levels of stress, so the music could influence their central nervous system more.
Response Timer is an app on iTunes that allows people to time their response/reaction times. It does so by flashing a green button, and the user must press a red button as soon as the green light is flashed. Once the red button is pressed, the app will show the user his response time.
Temple Run is an iPhone game where the player runs through a maze and faces obstacles like broken roads, tree stumps, tree trunks, fire, etc, and the player must react to the games by jumping, ducking, sliding, etc. on the spot. The players also collect coins and power ups to maximize score.