Methods: Twenty-six healthy young adult women participated in this study. In the experimental phase, each participant ate a meal under three separate conditions: fast (120% speed), moderate (original, 100% speed), and slow (80% speed) BGM. The same music was used for each condition, and appetite before and after eating, the amount of food consumed, and eating speed were recorded.
Results: The results showed that food intake (g, mean standard error (SE)) was slow: 317.9 22.2, moderate: 400.7 16.0, and fast: 342.9 22.0. Eating speed (g/s, mean SE) was slow: 28.1 2.8, moderate: 34.2 2.7, and fast: 27.2 2.4. The analysis showed that the moderate condition showed greater speed than the fast and slow conditions (slow-fast: p = .008; moderate-slow: p = .012; moderate-fast: p = .004). Moreover, the food intake in the moderate condition was significantly higher than that in the slow and fast conditions (moderate-slow: p < .001; moderate-fast: p < .001), and there was no significant difference between the slow and fast conditions in this regard (p = .077).
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Conclusion: These results suggest that original tempo BGM led to higher food intake compared to the faster and slower tempo conditions. These findings suggest that listening to music at an original tempo during meals may support appropriate eating behavior.
Turns out the calming music makes customers more patient. When slow-tempo background music played in the restaurant while customers waited for a table, they were willing to wait for an average period of 47 minutes per group of people. If the music was not as soothing as it was, the wait time would be 20% lower.
To sum up (literally), gross sales from both food and drink calculations showed quite a difference between the two types of background music. Customers spend an average of $55.82 when served with slow-tempo music, compared to $48.62 with fast music.
I'm trying to find a solution to fast forward a track in the Music app while it is minimised and while I'm working on another app. I got some ideas from Keyboard Maestro but not sure if the steps are right.
You've asked two separate questions here, one being really vague and nothing to do with the title of the question. Therefore, I'll focus on the question about fast forwarding the currently playing track in Music.app:
Based on previous literature, the present study examines the effects of background music on English reading comprehension using eye tracking techniques. All the participants, whose first language was Chinese, were selected from a foreign language college and all of them were sophomores who majored in English. The experiment in this study was a 2 (music tempo: fast and slow) 2 (text difficulty: difficult and easy) 2 (background music preference: high and low) mixed design. Both musical tempo and English reading passage were within-subjects factors, and the level of music listening preference was a between-subjects factor. The results showed that the main effect of the music tempo was statistically significant, which indicated that participants read texts more quickly in the fast-tempo music condition than in the slow-tempo music condition. Furthermore, the main effect of the text difficulty was statistically significant. Additionally, the interaction between the text difficulty and music tempo was statistically significant. The music tempo had a greater effect on easy texts than on difficult texts. The results of this study reveal that it is beneficial for people who have a stronger preference for music listening to conduct English reading tasks with fast-tempo music. It is detrimental for people who have little preference for background music listening to complete difficult English reading tasks with slow-tempo music.
Hi All! The Apple Music app seems to be running constantly in the background and very quickly draining my battery on my iPhone 12 Pro. Just started today. In doing some research, I see this was an issue back in July 2020, and then was resolved by an iOS update.
The solution I found was to eject the iPhone in question from the Music application. You can see this iPhone, or other IOS devices in the left section of the Music application. You need to perform this operation using your cable connected to your computer. I also had to delete my music on my iPhone in order to be able to eject my iPhone from the Music application permanently. I then reinstalled the music on my iPhone and had to eject my iPhone from the Music application again without any problem. You must also disable the automatic WIFI synchronization via the Finder and not make the iPhone appear in the Finder.
Im having that same issue and since I normally keep my phone on low power mode the background app refresh is already disabled. The music app drains 30% of my battery in less than hour. This is also after the most recent update 15.0.1
Same thing has been happening to my iPhone 7. Thanks to you, I discovered it was connected in the background to my desktop iMac which must have been causing the drain even though the mac was asleep (I think... never can really tell). I ejected the phone and hope that stops the drain on the battery!
I believe I found a solution- open Music, in the menu bar select Account and if you are signed in, simply sign out. This will disconnect the Music program from iCloud synching which in turn will stop the computer from connecting to your phone (even when the program is not in use) to try and synch in the background. Once I did this, Music is no longer constantly connecting the Mac and the phone, and the battery stopped draining. When I want to use Music I simply sign in to my account to have access to all my music on iTunes etc.
I have been having this problem too, on a 9.7" iPad Pro (1st gen, ~6 years old now). Turning off background app refresh for the Music app did not fix the problem. As I no longer use Music on the iPad, I ended up just deleting the app and that seems to have fixed the problem for me. I realize that is not a great solution for most people. Would be great to get an iOS, iPadOS fix...
Whether listening to background music enhances verbal learning performance is still disputed. In this study we investigated the influence of listening to background music on verbal learning performance and the associated brain activations.
Musical excerpts were composed for this study to ensure that they were unknown to the subjects and designed to vary in tempo (fast vs. slow) and consonance (in-tune vs. out-of-tune). Noise was used as control stimulus. 75 subjects were randomly assigned to one of five groups and learned the presented verbal material (non-words with and without semantic connotation) with and without background music. Each group was exposed to one of five different background stimuli (in-tune fast, in-tune slow, out-of-tune fast, out-of-tune slow, and noise). As dependent variable, the number of learned words was used. In addition, event-related desynchronization (ERD) and event-related synchronization (ERS) of the EEG alpha-band were calculated as a measure for cortical activation.
We did not find any substantial and consistent influence of background music on verbal learning. There was neither an enhancement nor a decrease in verbal learning performance during the background stimulation conditions. We found however a stronger event-related desynchronization around 800 - 1200 ms after word presentation for the group exposed to in-tune fast music while they learned the verbal material. There was also a stronger event-related synchronization for the group exposed to out-of-tune fast music around 1600 - 2000 ms after word presentation.
Verbal learning during the exposure to different background music varying in tempo and consonance did not influence learning of verbal material. There was neither an enhancing nor a detrimental effect on verbal learning performance. The EEG data suggest that the different acoustic background conditions evoke different cortical activations. The reason for these different cortical activations is unclear. The most plausible reason is that when background music draws more attention verbal learning performance is kept constant by the recruitment of compensatory mechanisms.
A further step in avoiding activation of a semantic or episodic network was to use meaningless words. In combination with using unfamiliar musical pieces, this strategy ensures that established (or easy to establish) associations between musical pieces and particular words are not activated.
Within the framework of the theory of changing state effects [54, 55], we anticipated that rapidly changing auditory information would distract verbal learning more seriously than slowly changing music. Thus, slower musical pieces would exert less detrimental effects on verbal learning than faster music.
The basic principle of this study was to explore verbal memory performance under different acoustic background stimulation conditions. The subjects performed a verbal memory test (see below) while acoustic background stimuli were present (background+) or not present (background-). Four different musical pieces and a noise stimulus were used as acoustic background stimuli (in-tune fast, in-tune slow, out-of-tune fast, out-of-tune slow, noise; for a description of these acoustic stimuli see below). The 75 subjects were randomly assigned to one of these five groups, each group comprising therefore 15 subjects. These five groups did not differ in terms of age, IQ, or extraversion/introversion (tested with Kruskal-Wallis-U-test). 0852c4b9a8
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