Author: Hetanshi Gori
Introduction: Headphones have become an essential personal audio device, widely used for entertainment, online learning, gaming, and professional communication. With rapid technological advancements, consumers are presented with numerous brands offering varied features, sound quality, comfort, and pricing. As a result, consumer preferences and satisfaction levels differ across brands. Understanding these preferences through systematic analysis helps evaluate brand performance and consumer perception in the competitive headphone market.
Objective: To understand consumer ratings for selected headphone brands.
Literature Review:
Smart wireless headphone for cardiovascular and stress monitoring
Bruno M. G. Rosa and Guang Z. Yang (2017) said that, wearable technology has become ubiquitous in recent years due to the miniaturization of circuit electronics and advances in smart materials that can conform to the requirements posed by the human body, behaviour and experience. Sensors of this type are found attached almost to every body segment, capable of delivering signals even in harsh activity scenarios. The reliability and relevance of the physiological data retrieved by wearables have yet to surpass the conventional technologies in the healthcare system today. In this paper we present a small device incorporated inside an headphone set that continuously monitors the ECG, impedance and acceleration of the head. As opposed to most biometric sensors, ECG measurement relies on non-optical methods by capturing the electrical potential around the ear in both sides of the head, whereas impedance monitoring involves AC stimulation instead of DC, the latter commonly involved in skin galvanic response estimation. Signal processing of impedance parameters is performed in situ using a fast variant of the Discrete Fourier Transform in order to save computational resources and power expenditure from a microcontroller equipped with Bluetooth Low Energy. Applications that can benefit from this device include cardiovascular and stress level assessment of individuals for whom an hearable is a requirement for work or leisure.
Mobile music listening and the self-management of health and well-being
Eva Schurig (2022) said that, music has been recognised as being beneficial for health and well-being. Listening to music over headphones in public (i.e., mobile music listening) should be given particular consideration in that regard, since the choice of music is solely dependent on the listener. This article contributes to existing literature by summarising findings about the management of mental and physical well-being through mobile music listening. Urban stressors, such as noise or crowdedness, can negatively impact the health of urban dwellers. Listening to mobile music assists with health management by blocking unwanted noise and by giving the choice back to the listener who would otherwise be at the mercy of the environment and its stimuli. Music can also serve as accompaniment when the listener feels socially isolated, thus supporting them against loneliness. All these benefits have to be weighed against disadvantages that are mostly physical in nature, such as staying safe in traffic or preventing hearing loss in the long run. It seems that listeners are aware of these disadvantages, but the advantages clearly predominate for them and so mobile music keeps supporting listeners in their daily lives.
Data Collection: To understand consumer ratings for selected headphone brands primary data was collected by creating google form and respondents were asked to rate each brand on a scale of 1 to 10 based on their usage experience. 50 students of ITM were surveyed and data was downloaded as excel sheet and Anova test was done on it.
Data Analysis:
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Anova: Single Factor |
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SUMMARY |
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Groups |
Count |
Sum |
Average |
Variance |
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Sony |
50 |
363 |
7.26 |
6.48 |
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Boat Rockerz |
50 |
352 |
7.04 |
5.84 |
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JBL |
50 |
363 |
7.26 |
5.75 |
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Noise |
50 |
379 |
7.58 |
4.66 |
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ANOVA |
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Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
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Between Groups |
7.415 |
3 |
2.47 |
0.44 |
0.73 |
2.65 |
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Within Groups |
1113.34 |
196 |
5.68 |
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Total |
1120.76 |
199 |
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H0: All are same
H1: Any one of this is different
We observe p value as p value is greater than 0.05 accept null hypothesis (H0) meaning all are same.
Conclusion: From data analysis it is conclude that all are same.
Reference:
Bruno M. G. Rosa and Guang Z. Yang (2017). Smart wireless headphone for cardiovascular and stress monitoring. IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN). 10.1109/BSN.2017.7936011. Eindhoven Netherlands
Eva Schurig (2022). Mobile music listening and the self management of health and well being. Techniques of Hearing.