Matching Items (31)
Description
ABSTRACT This study evaluated the LoseIt Smart Phone app by Fit Now Inc. for nutritional quality among users during an 8 week behavioral modification weight loss protocol. All participants owned smart phones and were cluster randomized to either a control group using paper and pencil record keeping, a memo group using a memo function on their smart phones, or the LoseIt app group which was composed of the participants who owned iPhones. Thirty one participants completed the study protocol: 10 participants from the LoseIt app group, 10 participants from the memo group, and 11 participants from the paper and pencil group. Food records were analyzed using Food Processor by ESHA and the nutritional quality was scored using the Healthy Eating Index - 2005 (HEI-2005). Scores were compared using One-Way ANOVA with no significant changes in any category across all groups. Non-parametric statistics were then used to determine changes between combined memo and paper and pencil groups and the LoseIt app group as the memo and paper and pencil group received live counseling at biweekly intervals and the LoseIt group did not. No significant difference was found in HEI scores across all categories, however a trend was noted for total HEI score with higher scores among the memo and paper and pencil group participants p=0.091. Conclusion, no significant difference was detected between users of the smart phone app LoseIt and memo and paper and pencil groups. More research is needed to determine the impact of in-person counseling versus user feedback provided with the LoseIt smart phone app.
ContributorsCowan, David Kevin (Author) / Johnston, Carol (Thesis advisor) / Wharton, Christopher (Christopher Mack), 1977- (Committee member) / Mayol-Kreiser, Sandra (Committee member) / Arizona State University (Publisher)
Created2011
Description
Nutrition instruction has become more accessible; it is no longer relegated to the doctor’s office, dietitian briefing, outpatient clinic, or hospital. Now it is available in people’s hands, pockets, and purses via their smartphone. Since nutrition instruction has become more accessible, health professionals and members of the general public are increasingly interested in using smartphone apps to assist with health-related dietary changes. With more and more of the population required to follow certain dietary recommendations and/or monitor specific nutrient intake, commercially available apps may be a useful and cost-effective resource for the public. The purpose of this four-week intervention was to determine if the popular calorie counter app, MyFitnessPal, can be used to reduce sodium intake to ≤ 2,300 mg/day compared to the traditional paper-and-pencil method. This four-week randomized parallel trial enrolled 30 generally healthy adults who were 18 to 80 years of age. Participants were randomly assigned to the MyFitnessPal (“APP”) group or to the paper (“PAP”) group and required to meet three times with the researcher for screening, baseline (start), and completion of the study. There was a significant difference in the mean urinary sodium change between the APP group and the PAP group from the start of the intervention to the completion (-24.0±32.6 and 8.5±41.9 mmol/g creatinine respectively, p = 0.027). Other positive trends that resulted from the intervention included a decline in dietary sodium in both groups and a higher adherence in the APP group compared to the PAP group regarding recording method. The MyFitnessPal app proved to be a useful tool in reducing and/or monitoring sodium intake. Thus, this trial reinforces the potential of this app to be used for monitoring other nutrients, but further research needs to be conducted.
ContributorsIpjian, Michelle (Author) / Johnston, Carol (Thesis advisor) / Shepard, Christina (Committee member) / Johnson, Melinda (Committee member) / Arizona State University (Publisher)
Created2016
Description
Smartphone-based healthcare. It's becoming more real as technology advances, adding value to healthcare and opening the doors to more personalized medicine. The Medical Pal is a smartphone application that can track symptoms and analyze trends in the severity of those symptoms, alerting healthcare providers when there is a significant increase in the symptom severity. This is especially directed to the palliative patient, whose care is focused on managing symptoms and providing comfort. The HIPAA-compliant server used for the smartphone application was Catalyze.io and 40 Mayo Clinic Arizona palliative patients were surveyed on their smartphone usage to test the acceptance of this app in a clinical setting. A trial involving 9 simulated patients was conducted over a two week period to test the functionality of the app. A majority of surveyed patients (85%) expressed favor for the idea of a mobile ESAS, and the app was functioning, with the capability of displaying patient data on a healthcare provider's account. This project is intentionally a door-opener to an open field of opportunity for mobile health, symptom observation, and improvements in healthcare delivery.
ContributorsDao, Lelan Diep (Author) / Cortese, Denis (Thesis director) / Lipinski, Christopher (Committee member) / Fitch, Tom (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor)
Created2015-05
Description
Smartphones have become increasingly common over the past few years, and mobile games continue to be the most common type of application (Apple, Inc., 2013). For many people, the social aspect of gaming is very important, and thus most mobile games include support for playing with multiple players. However, there is a lack of common knowledge about which implementation of this functionality is most favorable from a development standpoint. In this study, we evaluate three different types of multiplayer gameplay (pass-and-play, Bluetooth, and GameCenter) via development cost and user interviews. We find that pass-and-play, the most easily-implemented mode, is not favored by players due to its inconvenience. We also find that GameCenter is not as well favored as expected due to latency of GameCenter's servers, and that Bluetooth multiplayer is the most well favored for social play due to its similarity to real-life play. Despite there being a large overhead in developing and testing Bluetooth and GameCenter multiplayer due to Apple's development process, this is irrelevant since professional developers must enroll in this process anyway. Therefore, the most effective multiplayer mode to develop is mostly determined by whether Internet play is desirable: Bluetooth if not, GameCenter if so. Future studies involving more complete development work and more types of multiplayer modes could yield more promising results.
ContributorsBradley, Michael Robert (Author) / Collofello, James (Thesis director) / Wilkerson, Kelly (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-12
Description
Smartphones have become an integral component of lifestyles worldwide, acting as mobile computers capable of life organization. They remain the most quickly cycled consumer electronic, owned for no more than 3 years on average. Individuals continue to upgrade their smartphones quickly, stemming from the desire for more power and better features. In 2016, there were 1.15 billion smartphone upgrades, resulting in a growing used smartphone market valued at \$18 billion. Individuals continue to invest time and effort to sell their smartphone, receiving payment of less than market value. In regards to value-minded users with solidified schedules, I created Trusted Trade-in. This startup provides the bustling middle class with the ability to upgrade their smartphone in an efficient and valuable manner. Compared to current solutions, Trusted Trade-in offers an all-in-one upgrade system. The creation of this startup involved the complete creation of a business model in addition to the coding of a responsive website. An online-based business, customers will be able to visit the Trusted Trade-in website and be given the options to trade-in or trade-up. Competing against Craigslist, eBay and Verizon, Trusted Trade-in features a combined smartphone resale and upgrade process. If the decision is made to trade-in, the customer will be quoted for their current smartphone according to specific physical criteria. The trade-up option will request the same information from the customer and allow them to select a new model for their upgrade. This exciting and innovative marketplace will completely transform the way people upgrade their smartphones through financial and time-based savings.
ContributorsWoods, Quintin Delane (Author) / Sebold, Brent (Thesis director) / Lin, Elva S. Y. (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Almost sixty percent of adults within the United States are in a married or committed, cohabiting relationship. This study sought to examine the trajectory of relationship satisfaction over 14 consecutive days employing an ecological momentary assessment (EMA) method. Daily reports of relationship satisfaction were collected via a smartphone application developed from the LifeData platform. Phone-based interview questions posed one week after the 14-day EMA period afforded evaluation of usability and acceptability, in preparation for a much larger study of couples coping with cancer. Twenty-seven adults in a married or committed, cohabitating relationship served as participants, recruited from researchmatch.org. (These individuals were not coping with cancer.) Participants received a smartphone notification between 7:30pm and 8:30pm each day, with 45 minutes to begin recording their responses. A single item from the Dyadic Adjustment Scale (item #31) was used to assess relationship satisfaction. Findings revealed a marginally significant increase in satisfaction over the course of 14 days (b = 0.04, t = 1.85, p = .077). In addition, an intraclass correlation (ICC) value of 0.59 indicated larger between-person variability than within-person variability, suggesting that satisfaction varies more from one individual to another than it does within individuals over time. Finally, plots of mean relationship satisfaction by the standard deviation of relationship satisfaction showed lower variability in day-to-day satisfaction among those who were on average more satisfied with their relationship compared to those who were on average less satisfied. Feedback regarding convenience and ease of the application indicated favorable attitudes towards smartphone-based data collection.
ContributorsHagan, Rachel Claire (Author) / Langer, Shelby (Thesis director) / Randall, Ashley (Committee member) / Todd, Michael (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This document introduces the need for the Rest Egg system and defines an accessible method of smartphone integration. Excessive noise can prevent recovering patients and special needs persons from resting correctly. The Rest Egg was designed for these people- people who are in critical need of quality rest but are often unable to eliminate stressors themselves. This system ensures their environment is calm by alerting caretakers' smartphones if noise reaches abrasive levels. Smartphones were the preferred device due to the wide spread of such devices in today's market. After making open sourcing a goal, something ubiquitous and affordable \u2014 yet usable and dependable \u2014 was necessary for the alert system. These requirements lead to the election an online alert service: Pushover, a trademark and product of Superblock, LLC.
ContributorsJennings, Tyler Blake (Author) / Goryll, Michael (Thesis director) / Kozicki, Michael (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2016-05
Description
On Android, existing security procedures require apps to request permissions for access to sensitive resources.
Only when the user approves the requested permissions will the app be installed.
However, permissions are an incomplete security mechanism.
In addition to a user's limited understanding of permissions, the mechanism does not account for the possibility that different permissions used together have the ability to be more dangerous than any single permission alone.
Even if users did understand the nature of an app's requested permissions, this mechanism is still not enough to guarantee that a user's information is protected.
Applications can potentially send or receive sensitive information from other applications without the required permissions by using intents.
In other words, applications can potentially collaborate in ways unforeseen by the user, even if the user understands the permissions of each app independently.
In this thesis, we present several graph-based approaches to address these issues.
We determine the permissions of an app and generate scores based on our assigned value of certain resources.
We analyze these scores overall, as well as in the context of the app's category as determined by Google Play.
We show that these scores can be used to identify overzealous apps, as well as apps that do not properly fit within their category.
We analyze potential interactions between different applications using intents, and identify several promiscuous apps with low permission scores, showing that permissions alone are not sufficient to evaluate the security risks of an app.
Our analyses can form the basis of a system to assist users in identifying apps that can potentially compromise user privacy.
Only when the user approves the requested permissions will the app be installed.
However, permissions are an incomplete security mechanism.
In addition to a user's limited understanding of permissions, the mechanism does not account for the possibility that different permissions used together have the ability to be more dangerous than any single permission alone.
Even if users did understand the nature of an app's requested permissions, this mechanism is still not enough to guarantee that a user's information is protected.
Applications can potentially send or receive sensitive information from other applications without the required permissions by using intents.
In other words, applications can potentially collaborate in ways unforeseen by the user, even if the user understands the permissions of each app independently.
In this thesis, we present several graph-based approaches to address these issues.
We determine the permissions of an app and generate scores based on our assigned value of certain resources.
We analyze these scores overall, as well as in the context of the app's category as determined by Google Play.
We show that these scores can be used to identify overzealous apps, as well as apps that do not properly fit within their category.
We analyze potential interactions between different applications using intents, and identify several promiscuous apps with low permission scores, showing that permissions alone are not sufficient to evaluate the security risks of an app.
Our analyses can form the basis of a system to assist users in identifying apps that can potentially compromise user privacy.
ContributorsGibson, Aaron (Author) / Bazzi, Rida (Thesis advisor) / Ahn, Gail-Joon (Committee member) / Walker, Erin (Committee member) / Arizona State University (Publisher)
Created2015
Description
Smartphones are pervasive nowadays. They are supported by mobile platforms that allow users to download and run feature-rich mobile applications (apps). While mobile apps help users conveniently process personal data on mobile devices, they also pose security and privacy threats and put user's data at risk. Even though modern mobile platforms such as Android have integrated security mechanisms to protect users, most mechanisms do not easily adapt to user's security requirements and rapidly evolving threats. They either fail to provide sufficient intelligence for a user to make informed security decisions, or require great sophistication to configure the mechanisms for enforcing security decisions. These limitations lead to a situation where users are disadvantageous against emerging malware on modern mobile platforms. To remedy this situation, I propose automated and systematic approaches to address three security management tasks: monitoring, assessment, and confinement of mobile apps. In particular, monitoring apps helps a user observe and record apps' runtime behaviors as controlled under security mechanisms. Automated assessment distills intelligence from the observed behaviors and the security configurations of security mechanisms. The distilled intelligence further fuels enhanced confinement mechanisms that flexibly and accurately shape apps' behaviors. To demonstrate the feasibility of my approaches, I design and implement a suite of proof-of-concept prototypes that support the three tasks respectively.
ContributorsJing, Yiming (Author) / Ahn, Gail-Joon (Thesis advisor) / Doupe, Adam (Committee member) / Huang, Dijiang (Committee member) / Zhang, Yanchao (Committee member) / Arizona State University (Publisher)
Created2015
Description
Background: Smartphone diet tracking applications (apps) are increasing in popularity but may not adequately address the important concerns of proper intake and of diet quality. Two novel weight loss apps were designed based on the popular dietary frameworks: MyPlate and FoodLists. MyPlate, the dietary guidelines put forth by the U.S. government, encourages a balanced diet from five primary food groups, but does not specify intake limits. The Food Lists set upper intake limits on all food groups except vegetables, and these guidelines extend to include fats, sweets, and alcohol.
Objective: The purpose of this randomized controlled trial was to determine whether adherence to a weight loss app providing intake limits and more food group detail (the Food Lists app) facilitated more weight loss and better diet quality than adherence to a weight loss app based on the MyPlate platform. An additional objective was to examine whether higher app adherence would lead to greater weight loss.
Design: Thirty seven adults from a campus population were recruited, randomized, and instructed to follow either the Food Lists app (N=20) or the MyPlate app (N=17) for eight weeks. Subjects received one 15 minute session of diet and app training at baseline, and their use of the app was tracked daily. Body mass was measured at baseline and post-test.
Participants/setting: Healthy adults from a university campus population in downtown Phoenix, Arizona with BMI 24 to 40, medically stable, and who owned a smartphone.
Main outcome measures: Outcome measures included weight change, days of adherence, and diet quality change. Secondary measures included BMI, fat %, and waist circumference.
Statistical analysis: Descriptive statistics (means and standard errors); Repeated measures ANOVAs analyzing weight, diet quality, and BMI; Pearson and Spearman correlations analyzing adherence and weight loss.
Results: Repeated measures ANOVAs and correlations revealed no significant mean differences in primary outcome variables of weight loss, adherence, or diet quality (P=0.140; P=0.790; P=0.278). However, there was a significant mean reduction of BMI favoring the group using the Food Lists app (P=0.041).
Conclusion: The findings strengthen the idea that intake limits and food group detail may be associated with weight loss. Further investigation is warranted to determine whether longer use of the Food Lists app can produce more significant dieting successes and encourage healthier behavioral outcomes.
Objective: The purpose of this randomized controlled trial was to determine whether adherence to a weight loss app providing intake limits and more food group detail (the Food Lists app) facilitated more weight loss and better diet quality than adherence to a weight loss app based on the MyPlate platform. An additional objective was to examine whether higher app adherence would lead to greater weight loss.
Design: Thirty seven adults from a campus population were recruited, randomized, and instructed to follow either the Food Lists app (N=20) or the MyPlate app (N=17) for eight weeks. Subjects received one 15 minute session of diet and app training at baseline, and their use of the app was tracked daily. Body mass was measured at baseline and post-test.
Participants/setting: Healthy adults from a university campus population in downtown Phoenix, Arizona with BMI 24 to 40, medically stable, and who owned a smartphone.
Main outcome measures: Outcome measures included weight change, days of adherence, and diet quality change. Secondary measures included BMI, fat %, and waist circumference.
Statistical analysis: Descriptive statistics (means and standard errors); Repeated measures ANOVAs analyzing weight, diet quality, and BMI; Pearson and Spearman correlations analyzing adherence and weight loss.
Results: Repeated measures ANOVAs and correlations revealed no significant mean differences in primary outcome variables of weight loss, adherence, or diet quality (P=0.140; P=0.790; P=0.278). However, there was a significant mean reduction of BMI favoring the group using the Food Lists app (P=0.041).
Conclusion: The findings strengthen the idea that intake limits and food group detail may be associated with weight loss. Further investigation is warranted to determine whether longer use of the Food Lists app can produce more significant dieting successes and encourage healthier behavioral outcomes.
ContributorsScholtz, Cameron (Author) / Johnston, Carol (Thesis advisor) / Mayol-Kreiser, Sandra (Committee member) / Hekler, Eric (Committee member) / Arizona State University (Publisher)
Created2016