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Running head: TECHNO FIT Research Project: Techno Fit Christopher Brown Queens University of Charlotte 2015

chrisbrown93.files.wordpress.com · Web viewRunning head: TECHNO FIT. Research Project: Techno Fit. Christopher Brown. Queens University of Charlotte. 2015. Table of Contents. Abstract3

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37

TECHNO FIT

Running head: TECHNO FIT

Research Project: Techno Fit

Christopher Brown

Queens University of Charlotte

2015

Table of ContentsAbstract3Introduction4Literature Review5Methodology15Analysis & Discussion16Limitations & Future Research Suggestions22Conclusion23Appendix A24Appendix B31References34

Abstract

The purpose of the research is to examine the relationship between the usage of fitness trackers and the influence of the media has on the users of the devices. Over the past ten years, fitness and health app use has grown exponentially. With the continuing development of applications for smart phones, people are being more and more conscious with their health and regulating through a new medium. But when combining fitness trackers and apps together, the possibilities of health tracking are endless. So, along with examining the relationship between the media’s influence and trackers, this study also examines what tracker and app characteristics, or features, attracts users. In terms of data collection, a questionnaire was distributed across various social media platforms to the targeted sample group of fitness tracker and app users between the ages of 18 and 60.

Introduction

This study used the method of survey research to examine the influence of the mass media has on the usage of fitness trackers and health applications on smartphones. Over the past ten years, the use of wearable fitness technology and related health monitoring applications has grown substantially. The underlying purpose of these devices is to monitor your health and exercise in a non-traditional way, making the idea of “getting fit” more appealing and enjoyable. However, as these devices have become more and more popular, speculations have begun to rise about their intended purpose versus what consumers are actually purchasing them for.

Research has shown that health related applications have been widely used in the medical field by doctors for keeping track of patient’s records and medication usage. Furthermore, health applications, coined “mHealth” apps, have been developed to help people in rural areas where a doctor might not be available for diagnosis of an illness. From the development of these applications, grows the emerging trend of wearable fitness and health monitoring technology. Therefore, the major question that needs to be answered, is in what ways are consumers being influenced to use these health apps or purchase the wearable technology?

One of the top sellers of wearable fitness technology is Fitbit. Their fitness trackers not only provide health monitoring capabilities, but also a fashionable way to stay in shape and be active. However, due to the mass amounts of competing brands and their products, the fitness craze has slightly taken a different direction. While people are still purchasing fitness technology for purely fitness purposes, some are using them as a fashion statement. Therefore, it is important to understand just where this influence is coming from and how the mass media is reeling in the consumers, along with how many people are using wearable fitness technology for purely exercise.

The data collected within this study will be beneficial in a few ways. First, it will give those who are skeptical of the real usage of fitness trackers a general understanding of what consumers really use them for and why. While the research was not done with a widespread audience (i.e. the entire United States), it will provide those who wish to learn more about the usage of fitness trackers with a stepping-stone to further the research. Secondly, since the research contains information about the privacy of fitness apps and trackers, people who are skeptical of their online privacy will also benefit from the study. Lastly, the research is important to companies who wish to figure out the usage of their products among consumers. Whether a brand decides to market towards more fashionable devices or strictly “sporty” technology is up to them. But it is important for them to consider which side of the scale consumers are leaning towards.

RESEARCH QUESTION: How has the media influenced the usage of wearable activity trackers and the use of health related apps?

Literature Review

Evolution of Fitness and Health Apps

While people want to maintain their health and fitness regimen with apps, the government is also encouraging the growth of “mHealth” (mobile health) (Melnik, 2011). In 2010, the National Institutes of Health handed out grants for industries to research the mobile health craze. Melnik (2011) states that stakeholders within the mobile health industry see the technology growth as a way to save money when it comes to dealing with major diseases, educate the general population, and to reach people in areas where proper medical care might not be available. For consumers to use these apps, they need to download them to their smartphone or tablet. In August of 2011, the Apple App Store had reportedly sold around 425,000 health related applications and the Android App Stores had sold approximately 250,000 apps (Melnik, 2011).

Focusing more on the United States, Jeff Kabachinksi (2011) states that in 2011 about 12% of the population was 65 or older, which contributed to about $2 trillion in total healthcare costs. In addition to this, about 47 million uninsured Americans are putting extra pressure on the healthcare system and the average American population is about 23 pounds overweight (Kabachinksi, 2011). To help alleviate this added stress on the healthcare system, mobile medical apps can be used by the average American to help prevent and manage conditions such as illnesses and obesity. As of 2011, 19% of American citizens had smartphones that had the capability to support health related applications, which would help alleviate the strain on the healthcare system (Kabachinksi, 2011).

Consumers are not the only ones using the health related apps. In 2011, about 72% of physicians had smartphones and that number was estimated to shoot up to 82% by 2012 (Kabachinksi, 2011). Along with having these apps on their smartphones, they are using the applications within their own offices via iPad and other tablets. For example, patients can now interact with their doctor’s office and pharmacy by refilling prescriptions via designated apps (Kabachinksi, 2011). With the continuing move towards a revolutionized healthcare system, these mobile medical applications will greatly impact the medical field in the near future.

Gary Shapiro (2012) states that more and more people are weaving health apps and other “wearable” tech into their daily lives. In 2012, it was calculated that the use of fitness applications and wearable tech accounted for $70 billion of business in the United States (Shapiro, 2012). A major cause of the huge revenue is that fact that people can literally control their health at their fingertips. With the ease of these apps, people can monitor their own health and work towards goals that they have set for themselves.

Pros and Cons of mHealth Applications

Before diving into the benefits and roadblocks of these mHealth applications, it is important to understand the two groups into which they are categorized. Daniel F. Schulke (2013) separates the apps into two general groups: “provider-focused” and “patient-focused”. The provider-focused group allows doctors and other medical professionals to monitor their patient’s health, examine x-rays, CT scans, and even write electronic prescriptions for a patient. On the other side of the spectrum are the patient-focused apps, which include wellness program applications, medication management that alerts their doctor when they miss a dose, and even heart rate monitoring (Schulke, 2013).

Health monitoring apps can have great potential for improving health in areas where doctors aren’t readily available. In rural areas, there are only about 57 physicians for every 100,000 people, where in urban areas there are about 78 physicians for every 100,000 (Schulke, 2013). With the implementation of the health apps, people in rural areas can get low cost care at their fingertips.

Another excellent benefit of fitness and health apps is the exercise programs that they offer. These various apps include yoga, running, weight lifting, biking, and other various physical activities (Sibley & McKethan, 2012). Along with providing a detailed workout plan, these apps even include pictures of how to do certain exercises that might be difficult to convey by text. Furthermore, social networks can be incorporated into these apps, which allow you to compete with your friends (Sibley & McKethan, 2012). Lastly, physical education teachers can use these applications within the classroom and even outside for homework. Sibley and McKethan (2012) give an example of how the teacher can set up stations for exercises given in a certain app and have the students rotate through the stations, then record their progress in their own app on their phone. Along with doing exercises during class, the students can electronically submit their homework through the apps as well.

Paschou, Sakkopoulos, and Tsakalidis (2013) confirm that many people are using the mHealth apps to help improve their lives and to aid in health needs. In their study, they broke down the process of recreating a health app for doctors to use with their patients. While explaining the method of how certain apps are created, they also mention how great these apps will be to the medical world.

While some studies and researchers show that health and fitness apps are beneficial, some people believe the opposite. Barker (2014) blatantly states, “Fitness apps don’t work”. In 2013, a survey was done to see how many apps actually gave instructions on exercises, rather than just information. Barker (2014) was able to conclude that of the 40,000 apps in the Apple App Store only about half of these provided instructional use. From this, she concludes that while the app “may get you moving for a week or two”, it won’t ultimately lead to better health.

Schulke (2013) also brings up a concern about security risk for users of these mHealth applications. The Health Insurance Portability and Accountability Act (HIPAA) oversee specific standards for personal health information that is submitted electronically. However, they do not cover third-party groups whose apps might not have the best data security (Schulke, 2013). For example, a doctor might store patient information, such as notes and medical records, on a tablet. If the doctor were to ever lose the device, have it stolen, or even hacked, any of the records on the device would be easily accessible to the general public. In other words, the information will be protected to a certain degree but not to what it should be. Another concern that Shulke (2013) brings up is the lack of security when transferring data from device to device. With the right tools, a hacker could easily intercept the information being transferred and hinder the patient’s privacy. Overall, the main concerns of the mobile health apps lean towards the outcomes people may receive and the privacy of patients when it comes to data being stored or transferred on doctor’s mobile devices.

Wearable Fitness Tech

While many people use fitness and health apps singularly, the use of wearable fitness devices to pair with the apps has become an emerging trend. Over recent years physical activity trackers such as Jawbone, Fitbit, and the Nike Fuel Band have become extremely popular with consumers who want to track their health and improve their every day lives. When wearable fitness tech first came out, they were extremely pricy and not available to many people (Skiba, 2014). However, according to Weiser (1993) these wearable technologies are the next phase in the “evolution of ubiquitous computing”. They will gradually be incorporated into every aspect of our lives, such as the popular device called Fitbit.

As the top market leader in the Connected Health & Fitness category of Business Wire, Fitbit is among the top sellers of wearable fitness tech (Business Wire, 2013). The company’s first product, Fitbit Tracker, was launched in 2009. This product was able to attach to the user’s clothes, tracking steps and sleep patterns (Tucker, 2009). In 2013, they announced the Fitbit One, Fitbit Zip, and Fitbit Flex. A major milestone for the company was when they upgraded the device to using Bluetooth 4.0, which allows the device to update on the mobile app in real-time (Business Wire, 2013). Additionally, Fitbit was the first and only activity tracker to offer Bluetooth 4.0 syncing on iPhones and the only to offer 4.0 syncing on Android devices. As CEO James Park States “People are realizing that they are more active and can get more fit when they are more connected and aware of their fitness activities”. A major draw for consumers is the customizability for the Fitbit Flex. With this device, you can interchange the wristbands for different colors to match your outfit. If companies follow what Fitbit has done, there will be a great future for wearable fitness tech.

Fitness and the Mass Media

When considering the influence of the mass media on the use of wearable fitness technology, and fitness itself, it is important to understand how social media platforms are beginning to be more and more incorporated. Over recent years, social media has become the prime marketing platform for fitness companies, gyms, and various brands to advertise their products and services.

In 2012, Joseph Field, Dennis Elbert, and Steven Moser of the University of North Dakota, conducted a study on how the use of social media could increase interest in wellness on a college campus. To help spread word about the fitness center, they created a competition among the students that would award them virtual “coins” whenever they would check-in at the school’s fitness center (Elbert, Field, Moser, 2012). In order to spread word about the fitness center and the competition, they marketed towards the students on Facebook, YouTube, and Twitter.

From the study, they were able to conclude that marketing towards the students through social media, did in fact have an influence on those who used the fitness center. For example, before the study began, the fitness center’s Facebook page had around 1,200 fans, to almost 3,600 fans at the conclusion of the research (Elbert, Field, Moser, 2012). While Twitter and YouTube started off with the lowest number of followers and fans, they did in fact see an increase as well. The center’s Twitter followers grew from 200 to 300, and the YouTube page grew from 1,000 to 1,300 fans (Elbert, Field, Moser, 2012).

As the fitness center study shows, social media has a major role in influencing not only students, but people in general when it comes to fitness and health. Because social media use is becoming more and more prevalent in today’s society, the advertisements viewers see on the various mediums has a great influence on what they purchase and how the choose to exercise.

Widening the focus from college students to America as a whole, there is much concern over the growing obesity among adolescents and teens. Researchers Myles Jay Polsgrove and Renee Elizabeth Frimming (2013) looked into the causes of the rise of obesity and ways that it could possibly be reversed.

Frimming and Polsgrove (2013) state that while America is becoming more and more lazy, the pressure of reversing the obesity trend has been put on physical education. However, funding for such programs as been greatly reduced which puts strain on teachers and instructors to literally do more with little to no money. In order to overcome this hindrance, Frimming and Polsgrove (2013) have proposed an idea.

Within their research, they state that 83% of students use the Internet for health and medical information and 61% connect to each other through social networks, according to the Pew Internet & American Life Project. Taking this information, Frimming and Polsgrove (2013) stated that students could create a group on Facebook and post questions for each other to answer. In other words, they could ask questions about heath related topics and get answers from their peers. The purpose for the group forum setting is for existing members and new members to gain knowledge about physical education through a new medium. In addition to the students interacting, teachers, instructors, and coaches can also participate and answer questions the students may have (Frimming & Polsgrove, 2013). Overall the main goal of the group would be to help further education about health and wellness, while providing students a more interactive approach to learning.

While social and mass media can be used to bring students together for education purposes and to trigger interest in fitness centers, large companies can also bring consumers together to provide fitness and wellness information. Sears, well known for their appliances and power tools, launched an online fitness component for their rapid selling fitness equipment. In an article written by Natalie Zmuda (2012) from the Advertising Age, she talks with Julia Fitzgerald who is the chief digital engagement officer for sporting goods at Sears. As Fitzgerald claims, “When you buy a piece of equipment, you’re really coming in for a healthier lifestyle or to lose that last 15 pounds.” In response to the high demand for fitness equipment and an overall healthier lifestyle, Sears created an online counterpart called FitStudio (Zmuda, 2012). In a nutshell, FitStudio is comprised of a board of experts in the fitness field along with a number of bloggers to deliver workouts, fitness trends, and nutritional information to its customers (Zmuda, 2012). Efforts to promote the online counterpart has been primarly over social media, in-store advertisements, and advertisements on Facebook.

Online Privacy

While the number of users of wearable fitness technology has exploded, there are rising concerns about security and privacy when sharing information via social media. In an ever-growing world of social media, it is important to understand the amount of personal information that is at just about at anybody’s fingertips on social networking sites. Marwick (2012) conducted a study on how people are using social media as a means of “surveillance” on their friends and other people they know. Through her research, Alice Marwick was able to give a single term to the broadcasting of information to social networks: “lifestreaming”. Simply put, lifestreaming is the sharing of an individual’s information to a social network, like Facebook (Marwick, 2012). Marwick (2012) further explains this process by breaking it down into two distinct processes. First, the individual tracks their personal information or progress. Next, they will broadcast it out to various social media outlets for their friends and followers to see. Marwick (2012) uses the popular Fitbit fitness tracker as an example of information and progress tracking. The device keeps count of the user’s calories burned, amount of sleep, and steps taken throughout the day. In terms of broadcasting, this information is stored on Fitbit’s database hub and is available for all users to see as long as they are “friends” with each other through Fitbit. While it is at the consent of users to let people view their profile, they are still subject to social surveillance (Marwick, 2012).

Scott Peppet, a writer for the Texas Law Review, further supports the topic of how personal information is so vulnerable by conducting an in depth analysis on little control consumers have over their wearable technology and fitness sensors. Peppet (2014) categorizes the health monitoring devices into five different groups based on how intrusive they are to the consumer. Starting with the most intrusive, are devices such as scales and blood-pressure monitors. Next comes the wearable sensor, such as a wristband or a device that clips on your belt. Third in line are sensors such as an electronic tattoo, followed by electronic pills in the fourth category. Lastly, sensors that can be implanted within the human body are in the fifth category (Peppet, 2014).

According to Peppet’s study, wearable fitness technology is going far beyond just simply monitoring your steps. One of the increasingly popular lines of fitness technology is Fitbit. The Fitbit brand has not only activity trackers to wear on your wrist, but also a scale that links up with your tracker and Fitbit’s website (Peppet, 2014). Peppet states that as these devices become more and more popular, potential employers of those using these devices might ask for an applicant’s Fitbit records over a period of time. Peppet (2014) justifies this insane idea by stating that employers are always incorporating new data analysis technique when hiring applicants based on productivity. In other words, the personal data that people keep on their fitness devices may not be as personal as they thought.

Looking Forward: Wearable Technology and the Digital World

As some people may be skeptical if using the wearable trackers produces any results, a study has been done that shows wearable technology is in fact effective and will only improve as the technology itself improves. Pellegrini et al (2012) conducted a study, which compared the results of weight loss from using wearable fitness tech, and in-person visits with a medical professional. They took 51 subjects between the ages of 21 and 55, separating them into the two groups. In the end of the study, they concluded that both groups resulted in almost equal weight loss (Pellegrini et al, 2012). Since this study has been conducted, numerous other studies testing similar correlations have been conducted, thus supporting the fact that wearable fitness tech is effective.

Over this past year, digital health “exhibits” have jumped skywards about 40% at the International Consumer Electronics Show, an annual event that is held in Las Vegas, Nevada (Collier, 2014). Collier (2014) explains that with the aging “baby boomers” becoming more comfortable with using technology and focusing on more on their health, the market for fitness tech will become more in demand, which in turn will expand the usage population. In Collier’s article, there is a quote from Steve Koenig, director of industry analysis for the Consumer Electronics Association, that states, “by 2017 we are looking at a $3 billion market opportunity”. In other words, Koenig is saying that by 2017 the demand for fitness tech and health trackers will be in extreme demand for all types of users.

As the year’s progress and technology becomes more advanced, the mHealth and wearable fitness tech sectors will slowly begin to bleed out into bigger fields. For example, Mobile Health and News Products published an article back in 2012 that essentially predicted the apps to come out in the near future for doctors and general consumers. These include prescribing apps for doctors, ingestible sensors to track your body’s chemistry, and even a wireless ultrasound device that stores information to a cloud based system.

Douglas Rushkoff (2011), Professor of Media Theory and Digital Economics, raises the question important question of “What are we doing to one another through technology?” In 2011, Rushkoff sat down with PBS to discuss the topic of how users of technology often do not really know what the intended purpose of a certain device is, or how it affects them directly. As a result of this, people are using devices and other forms of technology to get results that they cannot predict. Rushkoff (2011) further states that people are simply using technology because it is accessible to them, rather than using it for its intended purpose. For example, with the fitness trackers, people may be buying them simply because it is affordable and fashionable rather than buying it to help stay healthy and keep track of fitness goals.

While the world is becoming more and more technological every day, all of this technology could in fact be taking time away from us, rather than saving time (Rushkoff, 2013). Rushkoff (2013) states that there is a constant tug-of-war between “chronos”, which is sequential time, and “kairos”, which is a specific moment in time when events take place. In today’s world, we are constantly trying to use technology to create time within our own lives by taking reality out of chronos and trying to adapt it to kairos. However, during this “process” we are actually wasting more time trying to balance all of our media outlets at once, rather than saving it (Rushkoff, 2013). He also states that as humans we need to not let technology and computers “control us”, rather find ways to let it help us create more understanding of kairos and to help get away from chronos. Put simply, humans need to learn how to effectively incorporate the kairos aspect of time into their lives without wasting time trying to do it.

Methodology

Hypothesis

There will be a somewhat even mix of people who use them as just an accessory and those who actually use them for their intended purposes.

Objective

The questionnaire that the researcher will be administering will examine the correlation between health apps for smartphones used with fitness trackers, and the influence they have on those who use them in the United States through media exposure. In recent years, the use of health related apps and fitness trackers have substantially grown, therefore making it important to understand the influence on the users of the fitness products.

Sample

The sample for this project was a fairly broad spectrum. Respondents were targeted on social media websites and email. Due to the vast age range of the users of wearable trackers and apps, the age range of this project is between 18 and 60 years old.

Questionnaire (Quantitative)

The participants were asked questions that relate to how often they work out, to what extent they follow plans on the fitness apps, and how closely they monitor their trackers. Furthermore, the respondents were asked what influenced them to buy their fitness trackers or download the apps, and if the media had any “say” in their decision. For example, what brand did they get based on the media’s influence.

Analysis & Discussion

As stated in the methodology, the wearable fitness technology and health app questionnaire was distributed across the following social media platforms: Facebook, Twitter, and LinkedIn. The questionnaire was open and able to be filled out for about two months, with occasional reminder posts to motivate the potential respondents to fill out the questionnaire. After closing down the questionnaire and compiling the data into graphs and charts using Microsoft Excel, the results could then be analyzed according to each question.

In total, there were 139 participants who completed or attempted to complete the questionnaire. At the beginning of the questionnaire there was a screening question that would let you continue if you met the needed criteria, or direct you to the disqualification page if you did not meet the criteria. Out of the 139 participants, 58 (40%) used or have used fitness trackers and apps, 81 (55%) have never used fitness trackers or apps therefore disqualified, and 8 (5%) did not fully complete the survey (Figure 1, Appendix A).

Moving on in the questionnaire, the respondents were then asked their average exercise time. The choice of answers was 30-60 minutes, 60-90 minutes, and 90 minutes or more. The category that was chosen the most among respondents was the “30-60 minute” category, containing 61% of the total respondents. Next highest was the “60-90 minute” category, with 27.8% responses. Lastly, the “90 minutes or more” category was the least chosen, containing only 11% of the responses (Figure 2, Appendix A).

Next the participants were asked whether or not they wear their tracker all the time, every day. 58.5% answered yes, whereas 41.5% answered no (Figure 3, Appendix A). In terms of the fitness apps, the participants were asked how often they use or look at fitness apps on their smartphone. 30.8% said they look at a fitness app 1-2 times per week, 26.5% said 3-4 times per week, and 32.4% said they looked every day (Figure 4, Appendix A). In addition to being asked how often they look at fitness apps and how frequently they wear their tracker, the participants were asked to categorize, in general, the media’s influence. Out of the four categories, “health websites & blogs” was rated the highest influence, containing 78.4% of the responses. The next highest was the “TV shows” category with 41.5% saying that they were influenced by shows on TV, followed by the “ads in gyms” category at 7.8%. Lastly, the “celebrity endorsement” category had 1.9% (Figure 5, Appendix A).

Participants were asked to rate, on a Likert scale, how the price of the activity tracker influenced their purchase. 18.9% said that they “strongly agree” with the fact that price influenced their decision. 54.7% claimed that they “somewhat agree” with the statement. In between the two sides of the scale, lies 13.2% who claim that they had “no opinion” about the price factor. On the other side of the scale, 5.7% said they “somewhat disagree” with the influence of price. The “strongly disagree” category was chosen the least, with only 7.6% (See Figure 6, Appendix A).

In addition to the influence of price, the participants also rated whether or not they thought there were a decent amount of advertisements for trackers on TV, on a Likert scale. 9.4% said that they “strongly agree” that there are enough advertisements on TV. 26.4% said that they “somewhat agree” with the statement and 24.5% had “no opinion” or were indifferent about the statement. However, most of the participants chose the “disagree” side of the scale with 26.4% in the “somewhat disagree” group and 13.2% in the “strongly disagree” group (Figure 7, Appendix A).

Since social media has become a major part of advertising and marketing, a question was asked about whether or not the participants believed social media was a primary advertisement outlet. 24% said they “strongly agree” that social media is a main source of advertisement and 42.6% “somewhat agreed” with the statement. About 28% said that they have “no opinion” as to the affect social media has on advertising, 5.6% “somewhat disagreed” and the “strongly disagree” category had 0% (Figure 8, Appendix A). Furthermore, social networking sites when connected with those you know, allows an influence from other peers in your purchasing decision. Participants were asked whether or not they believed social networks and their friends had an influence on their purchase. The results were as follows: “strongly agree” 17%, “somewhat disagree” 35.4%, “no opinion” 13%, “somewhat disagree” 16.7%, and “strongly disagree” 19% (Figure 9, Appendix A).

Whether or not people used the trackers to be fashionable or purely for fitness purposes was another aspect of the study. Participants were given the statement “bought tracker to be more fashionable” and then chose categories from “strongly agree” to “strongly disagree”. 2% said they “strongly agree”, 27.1% said they “somewhat agree”, 8.3% had “no opinion”, 27.1% “somewhat disagreed”, and finally 35.4% said they “strongly disagreed” with the statement (Figure 10, Appendix A). In response to whether or not they use a tracker for goals and daily progress, 43.75% chose “strongly agree”, 47.92% “somewhat agreed”, 6.25% “no opinion”, 2% “somewhat disagree”, and 0% in the “strongly disagree” group (Figure 11, Appendix A). Concluding the questions about the activity trackers, was a question asking participants which brand of tracker they own. 47% stated they own a Fitbit product, 8% own Samsung, 12% use a Jawbone device, 21% use Garmin, and 12% chose the “other” category which includes Nike and Apple iPhone Health Dashboard (Figure 12, Appendix A).

Lastly, demographics were also taken into consideration in the questionnaire. After gathering the responses and dividing up the data, it was determined that 52% of participants were male and 48% were female (Figure 13, Appendix A). For age, participants were broken up into 4 groups: 18-24 years old, 25-34 years old, 35-44 years old, and then 45 and up. The percentage for each group is as follows: 24% 18-24 years old, 22.45% 25-34 years old, 10.20% 35-44 years old, and 42.86% were 45 and up (Figure 14, Appendix A).

Through data collection by questionnaire, the researcher hoped to answer the following questions:

· How has the media influenced the usage of wearable activity trackers and the use of health related apps?

· Has the use of activity trackers become more of a fashion statement or are people actually using them for fitness purposes?

· What brand of fitness trackers do consumers predominantly use?

· What characteristics of activity trackers attract consumers?

Based on the questions that were asked in the questionnaire, the results were categorized under the appropriate research question in order to help answer or provide a reasonable outcome to the question. In order to get a better understanding of what each research question’s answer was, this section has been subdivided into three parts that correspond to the three research questions of the study.

The Media’s Influence

To start with, the general influence of the media was grouped into various groups such as TV shows and health related websites. After graphing the results from this section, it was determined that people were most influenced by health websites and blogs. Most likely, these sites include advertisements on Facebook, Twitter, and other forms of popular social media that linked them to a specific brand of fitness tracker. Furthermore, health related websites could even include sporting goods stores as they pertain to leading a healthy and active lifestyle.

The next question pertaining to the media’s influence, asked the participants whether or not they thought there are a decent amount of advertisements on TV for health trackers and mobile apps. While the expected outcome was that there would be fewer responses saying that there were enough advertisements on television promoting fitness trackers, the result was the complete opposite. At the close of the questionnaire, those who chose the “somewhat disagree” and “somewhat agree” categories were tied at 26.4%.

Moving towards the social media side as a form of advertisement, Elbert, Field, and Moser’s (2012) study supports the results gathered. While their study involved promoting a fitness center for a college over social media, their results proved that social media does have an effect promotion and advertising. For example, in the results collected from this research project on wearable fitness technology, it was concluded that respondents do see social media as a primary advertisement outlet for fitness trackers and health apps.

Finally, the questionnaire looked at how social networks and friends influenced consumers’ purchase decisions. The majority of respondents agreed that social media and friends, inferring that they rely on what others think of certain brands and trackers, influenced them. Furthermore, the data that Frimming and Polsgrove (2013) collected about how students seek out information on health and medical information on social media can support this study as well. In their study, it was found that 83% of students use the Internet for health and medical information, while 61% used social media to connect with each other.

Fashion or Fitness

To start, it was important to ask participants how often they exercise in order to get a basic idea of the “fitness demographic” that was answering the questionnaire. As predicted, the majority of respondents spend about 30-60 minutes exercising. Instead of asking the frequency of their exercise, they were asked how long they usually exercise when they exercise. Most of the respondents also wore their activity trackers all the time, while almost half did not wear theirs all the time. This result was a bit shocking due to the fact that since the questionnaire was targeted towards those who use fitness trackers, it was assumed that participants would almost always wear their trackers all the time. A reason why they may not wear it all the time, could be simply because they only wear it when exercising and want to calories or miles ran during a workout.

While some activity trackers were designed with the fashion-conscious people in mind, the overall response to whether or not people bought a tracker to be fashionable was a surprising. The majority of respondents decided that they strongly disagree with the statement: “Bought tracker to be fashionable”. From the data collected, one can confirm that those who have a fitness tracker use it for mainly exercise purposes, rather than as a fashion statement. To further support this, in the question that asked participants about using trackers to keep note of goals and daily progress, it can be clearly seen that more than half of the respondents in fact use their device for goal and progress tracking. This data in one way confirms Fitbit CEO James Park’s statement about how people become more active when they are more digitally connected and more aware of their fitness regimen.

Brand of Tracker

The results for this section were particularly interesting. As the research discussed in the literature review and the data collected in this study show, Fitbit is the brand owned by the majority of participants. As the previous research done by Business Wire states, Fitbit is the top market leader in the Connected Health & Fitness category of wearable technology. Other popular brands such as Jawbone, Garmin, and Samsung were the runner ups the category, which is shown in the research from this study. A factor that might have contributed to Samsung’s somewhat low percentage, is the fact that their trackers only work with Samsung smartphones such as the Galaxy series. Whereas Jawbone and Fitbit can be synced to any smartphone and users can download the accompanying app. Another factor that may have encouraged consumers to purchase Fitbit is the fact that the Fitbit Flex tracker can be customized. Through customization, users can match the tracker’s wristband to their outfit.

Characteristic Influences

When purchasing wearable fitness technology, consumers take a lot into consideration about the characteristics of the device. For example the price of the fitness tracker. Most likely, consumers have a budget they are looking to keep their purchase within and are only willing to spend outside of their targeted range if the purchase will be worth the extra cost. It was expected that the price of the tracker would influence their decision, so the results of this aspect were not shocking. Over half of the respondents claimed that the price was extremely important to them, therefore influencing their decision. Another characteristic that consumers take into account is the features and size of the device. As expected, the results showed that the size and features of the tracker have a great influence on the choice of purchase.

Demographics

The last important aspect of this study, are the demographics that were obtained from respondents. After compiling all of the questionnaire data, it was determined that the gender ratio was almost split directly in half. In other words, both male and females stated that they use fitness trackers and health apps on a regular basis. Furthermore, the age range of users tended to learn towards the higher end of the scale. While there was still a decent amount of users between the ages of 18 and 44, the 45 and up group contained the most respondents. The age group of 35 to 44 had the least respondents, containing only 10.2% of the overall responses

Limitations & Future Research Suggestions

While this research project did provide useful and descriptive results, it is not without limitations that hindered optimal results from the sample used. First, the methods in which the questionnaire was distributed should be reevaluated. For this project, the questionnaire was distributed to the sample group across social media platforms such as Facebook, Twitter, and LinkedIn. While those social networking sites provided decent results, gaining respondents through hard copy questionnaires could increase the respondent pool.

In addition, the screening question at the beginning of the questionnaire presented a small setback. In order to obtain accurate results for this study, the questionnaire needed a question at the beginning that would prevent those who do not use fitness apps or wearable technology from answering the questionnaire. As a result of this, almost half of the respondents were turned away and could not answer the questionnaire. Therefore, for future research by use of an online questionnaire, the researcher should rework the questionnaire to where not having a screening question would be beneficial to the research.

A final limitation that presented itself in this study was the lack of questionnaire completion. Since respondents were allowed to skip over questions, the accuracy of each individual question was not 100% at the time of data analysis. Furthermore, there were a few surveys that had only two or three questions answered. A suggestion for future research is to get approval to make questions required in order to get as close to 100% accuracy as possible.

Conclusion

While this report is not confirming any aspect of the wearable technology community, it does however provide an insight as to how the media influences consumers and how those consumers interact with the technology. Due to the rising growth the wearable technology and health app industry, it is important that we have a general understanding of what direction the media is driving consumers. Whether the consumers use the technology for health reasons or fashion is ultimately up to them. But it is important for scholars in the field of Communication to understand the various ways in which the media has influenced consumers.

From the results of this research project, it is worth taking note of a few inferences drawn from the data. Overall, many people do not use wearable trackers or apps on a regular basis and while there are multiple brands of wearable trackers, Fitbit is the most purchased of them all. Furthermore, while one might assume the gender distribution might lean one way or the other, the distribution was about equal.

Confirming the social media influence on consumer’s purchases, the results from this study showed a correlation between the advertisements, blog posts, and other posts on social media, and the purchases of apps and trackers. Lastly, the price of the tracker, size, and features was shown to have impact on the purchasing of wearable fitness technology.

From this project as a whole, it is intended that other researchers studying this field will continue the research and gain larger, more in-depth results about the influence of the mass media on wearable fitness technology. For suggestions on possible ways to further the research and increase accuracy of future research, consult the “Limitations & Future Research Suggestions” section of this report.

Appendix A

Data Charts

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Appendix B

Questionnaire

Activity Trackers & Health Apps

You are being asked to participate in a study about the media’s influence on fitness apps and wearable technology, being conducted by Chris Brown, a Queens University of Charlotte student under the supervision of Dr. Daina Nathaniel, in the Communication department/school. Please know that all responses are anonymous and will be kept confidential. Please do not write your name or any other identifying information anywhere on the questionnaire. You may skip any items you do not wish to answer and may stop at any time without penalty. By completing this questionnaire you are giving your consent to be a part of this research. Thank you for your time. Trackers & Health Apps

1. Are you currently using, or have used in the past, any activity trackers or health apps? (i.e. Fitbit)

Yes

No

2. On average, how long do you typically exercise for?

30-60 minutes

60-90 minutes

90 minutes or more

3. Do you always have your activity tracker on you?

Yes

No

4. How often do you look at fitness apps on your smartphone?

1-2 times per week

3-4 times per week

Everyday

5. Thinking back on how you heard of the activity tracker you purchased, which media outlets had an influence on your decision?

TV shows (Dr. Oz, Good Morning America, etc.)

Health websites and blogs

Advertisements in gyms

Celebrities endorsing the product

6. The price of the activity tracker influenced my purchase.

Strongly AgreeSomewhat AgreeNo OpinionSomewhat DisagreeStrongly Disagree

7. The features and size of the tracker helped persuade my purchase.

Strongly AgreeSomewhat AgreeNo OpinionSomewhat DisagreeStrongly Disagree

8. There are advertisements on TV for activity trackers and health related apps.

Strongly AgreeSomewhat AgreeNo OpinionSomewhat DisagreeStrongly Disagree

9. Social media is a primary advertisement outlet for activity trackers.

Strongly AgreeSomewhat AgreeNo OpinionSomewhat DisagreeStrongly Disagree

10. I bought the tracker I have to be more fashionable.

Strongly AgreeSomewhat AgreeNo OpinionSomewhat DisagreeStrongly Disagree

11. Social networks and friends influenced my purchase decision.

Strongly AgreeSomewhat AgreeNo OpinionSomewhat DisagreeStrongly Disagree

12. I primarily use my tracker to keep track of daily activities and to keep track of goal progress.

Strongly AgreeSomewhat AgreeNo OpinionSomewhat DisagreeStrongly Disagree

13. What brand of activity tracker do you own?

14. Please indicate your age:

18-24 years old

25-34 years old

35-44 years old

45 and up

15. Please indicate your gender:

Female

[Type text][Type text][Type text]

2

TECHNO FIT

Male

References

Barker, J. (2014, Jan 06). The lessons of 2013 make way for a better 2014; forget about fitness apps - and maybe even breakfast. The Gazette

Collier, R. (2014). Rapid growth forecast for digital health sector. Canadian Medical Association Journal, 186(4), E143-4.

Elbert, D. J., Field, J. A., & Moser, S. B. (2012). The use of social media in building interest in wellness on a college campus. American Journal of Business Education, 5(5).

The evolution of fitness. (2012, Jun 05). Mint

Fitbit offers first and only connected fitness products with bluetooth 4.0 syncing on android devices. (2013, Feb 12). Business Wire

Kabachinski, J. (2011). It world: Mobile medical apps changing healthcare technology. Biomedical Instrumentation & Technology, 45(6), 482-6.

Marwick, A. E. (2012). The public domain: Social surveillance in everyday life. Surveillance & Society, 9(4), 378-393.

Melnik, T. (2011). There's an app for that! The FDA offers a framework for regulating mobile health. Journal of Health Care Compliance, 13(5), 45-46,65-66.

Mobile health & news products. (2012). Biomedical Instrumentation & Technology, 46(2), 6-9.

Paschou, M., Sakkopoulos, E., & Tsakalidis, A. (2013). EasyHealthApps: E-health apps dynamic generation for smartphones & tablets. Journal of Medical Systems, 37(3), 1-9951.

Pellegrini, C. A., Verba, S. D., Otto, A. D., Helsel, D. L., Davis, K. K., & Jakicic, J. M. (2012). The comparison of a technology-based system and an in-person behavioral weight loss intervention. Obesity, 20(2), 356-363.

Peppet, S. R. (2014). Regulating the Internet of things: First steps toward managing discrimination, privacy, security, and consent. Texas Law Review, 93(1), 85-176.

Polsgrove, M. J., & Frimming, R. E. (2013). A creative way to utilize social media to enhance fitness and health knowledge. American Alliance for Health, 26(2), 3-7.

PSFK. (2013, June 2). Douglas Rushkoff: Present Shock. When Everything Happens Now [Video file].

Public Broadcasting Service. (2011, January 3). Video: Doug Rushkoff - Program or Be Programmed | FRONTLINE | PBS [Video file].

Schulke, D. F. (2013). THE regulatory arms race. Mobile-health applications and agency posturing. Boston University Law Review, 93(5), 1699-1752.

Shapiro, G. (2012). Monitoring the growth of health & fitness technology. Appliance Design, 60(8), 32.

Sibley, B. A., & McKethan, R. (2012). App up your physical education program. Journal of Physical Education, Recreation & Dance, 83(8), 9-12,55.

Skiba, D. J. (2014). The connected age and wearable technology. Nursing Education Perspectives, 35(5), 346-347.

Vandelanotte, C., Kirwan, M., & Short, C. (2014). Examining the use of evidence-based and social media supported tools in freely accessible physical activity intervention websites. International Journal of Behavioral Nutrition and Physical Activity, 11, 105.

Tucker, P. (2009). Be your own big brother. The Futurist, 43(1), 9.

Zmuda, N. (2012). Fitness track may work out for stumbling Sears. Advertising Age, 83(3), 2-20.