Matching Items (31)

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Relationship Satisfaction Across Fourteen Days: A Smartphone-Based Ecological Momentary Assessment Study

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

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.

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Created

Date Created
2018-05

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The Rest Egg Smartphone Connection: Accessibility, Utility, and Ease of Use via Mobile Application Support

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

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.

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Created

Date Created
2016-05

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Reliability of Real-Time Video Smartphone for Assessing National Institutes of Health Stroke Scale in Stroke Patients: The Next Generation of Telestroke

Description

Telestroke networks reduce disparities in acute stroke care between metropolitan primary stroke centers and remote hospitals. Current technologies used to conduct remote patient assessments have very high start-up costs, yet they cannot consistently establish quality connection in a timely manner.

Telestroke networks reduce disparities in acute stroke care between metropolitan primary stroke centers and remote hospitals. Current technologies used to conduct remote patient assessments have very high start-up costs, yet they cannot consistently establish quality connection in a timely manner. Smartphgones can be used for high quality video teleconferencing (HQ-VTC). They are relatively inexpensive and widley used among healthcare providers. We aimed to study the reliability of HQ-VTC using smartphones for conducting the NIHSS. Two vascular neurologists (VNs) assessed 83 stroke patients with the NIHSS. The remote VN assessed patients using videoconferencing on a smartphone with the assistance of a bedside medical aide. The bedside VN rated patients ontemporaneously. Each VN was blinded to the other's NIHSS scores. We tested the inter-method agreement and physician satisfaction with the device. We demonstrated high total NIHSS score correlation between the methods (r=0.941, p<0.001). The mean total NIHSS scores for bedside and remote assessments were 7.3 plus or minus 7.9 and 6.7 plus or minus 7.6 with ranges of 0-30 and 0-37, respectively. Seven NIHSS categories had significantly high agreement beyond chance: LOC-questions, LOC-commands, visual fields, motor left arm, motor right arm, motor left leg, motor right leg; seven categories had moderate agreement: LOC-consciousness, best gaze, facial palsy, sensory, best language, dysarthria, extinction/inattention; one category had poor agreement: ataxia. There was high physician satisfaction with the device. The VNs rated 96% of the assessments as good or very good for "image quality," "sound quality," "ease of use," and "ability to assess subject using NIHSS," and 84% of the assesssments as good or very good for "reception in hospital." The smartphones with HQ-VTC is reliable, easy to use, and affordable for telestroke NIHSS administration. This device has high physician satisfaction. With the variety of smartphones and professional medical applications available today, the telestroke practitioner has all the tools necessary for fast clinical decision-makingby accessing electronic medial records, viewing images, and tracking patient vitals.

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Created

Date Created
2012-05

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The Medical Pal: A Smartphone Application to Improve Healthcare Delivery to Palliative Patients

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

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.

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Created

Date Created
2015-05

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Stereo based visual odometry

Description

The exponential rise in unmanned aerial vehicles has necessitated the need for accurate pose estimation under any extreme conditions. Visual Odometry (VO) is the estimation of position and orientation of a vehicle based on analysis of a sequence of images

The exponential rise in unmanned aerial vehicles has necessitated the need for accurate pose estimation under any extreme conditions. Visual Odometry (VO) is the estimation of position and orientation of a vehicle based on analysis of a sequence of images captured from a camera mounted on it. VO offers a cheap and relatively accurate alternative to conventional odometry techniques like wheel odometry, inertial measurement systems and global positioning system (GPS). This thesis implements and analyzes the performance of a two camera based VO called Stereo based visual odometry (SVO) in presence of various deterrent factors like shadows, extremely bright outdoors, wet conditions etc... To allow the implementation of VO on any generic vehicle, a discussion on porting of the VO algorithm to android handsets is presented too. The SVO is implemented in three steps. In the first step, a dense disparity map for a scene is computed. To achieve this we utilize sum of absolute differences technique for stereo matching on rectified and pre-filtered stereo frames. Epipolar geometry is used to simplify the matching problem. The second step involves feature detection and temporal matching. Feature detection is carried out by Harris corner detector. These features are matched between two consecutive frames using the Lucas-Kanade feature tracker. The 3D co-ordinates of these matched set of features are computed from the disparity map obtained from the first step and are mapped into each other by a translation and a rotation. The rotation and translation is computed using least squares minimization with the aid of Singular Value Decomposition. Random Sample Consensus (RANSAC) is used for outlier detection. This comprises the third step. The accuracy of the algorithm is quantified based on the final position error, which is the difference between the final position computed by the SVO algorithm and the final ground truth position as obtained from the GPS. The SVO showed an error of around 1% under normal conditions for a path length of 60 m and around 3% in bright conditions for a path length of 130 m. The algorithm suffered in presence of shadows and vibrations, with errors of around 15% and path lengths of 20 m and 100 m respectively.

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Agent

Created

Date Created
2010

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Comparing Website Recall on Mobile Devices: Smartphones vs. Tablets

Description

Website usage on both smartphone and tablet devices is rapidly increasing. Website success hinges largely upon how well information on the site is recalled and perceived. The purpose of this study is to explore the question of whether or not

Website usage on both smartphone and tablet devices is rapidly increasing. Website success hinges largely upon how well information on the site is recalled and perceived. The purpose of this study is to explore the question of whether or not the differences in display size and resolution of smartphone versus tablet devices affect the recall of website information. I hypothesize that tablets will produce greater website recall than smartphones, due to their larger screen size and higher resolution which may reduce cognitive strain. During the study, participants viewed a sample website for two minutes on either an iPhone or iPad, and then participated in a brief 20 question memory test to evaluate how well they remembered the website information. Although test scores for the iPad users were about one test point higher than test scores for the iPhone users, the difference was not statistically significant. However, the study was limited by the low sample size (n = 94). This indicates that further research may find that tablets indeed allow for increased recall of certain kinds of website content.

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Created

Date Created
2013-05

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Detection of advanced bots in smartphones through user profiling

Description

This thesis addresses the ever increasing threat of botnets in the smartphone domain and focuses on the Android platform and the botnets using Online Social Networks (OSNs) as Command and Control (C&C;) medium. With any botnet, C&C; is one of

This thesis addresses the ever increasing threat of botnets in the smartphone domain and focuses on the Android platform and the botnets using Online Social Networks (OSNs) as Command and Control (C&C;) medium. With any botnet, C&C; is one of the components on which the survival of botnet depends. Individual bots use the C&C; channel to receive commands and send the data. This thesis develops active host based approach for identifying the presence of bot based on the anomalies in the usage patterns of the user before and after the bot is installed on the user smartphone and alerting the user to the presence of the bot. A profile is constructed for each user based on the regular web usage patterns (achieved by intercepting the http(s) traffic) and implementing machine learning techniques to continuously learn the user's behavior and changes in the behavior and all the while looking for any anomalies in the user behavior above a threshold which will cause the user to be notified of the anomalous traffic. A prototype bot which uses OSN s as C&C; channel is constructed and used for testing. Users are given smartphones(Nexus 4 and Galaxy Nexus) running Application proxy which intercepts http(s) traffic and relay it to a server which uses the traffic and constructs the model for a particular user and look for any signs of anomalies. This approach lays the groundwork for the future host-based counter measures for smartphone botnets using OSN s as C&C; channel.

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Agent

Created

Date Created
2013

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iPhone applications and improvement in weight and health parameters: a randomized controlled trial

Description

Dietary counseling from a registered dietitian has been shown in previous studies to aid in weight loss for those receiving counseling. With the increasing use of smartphone diet/weight loss applications (app), this study sought to investigate if an iPhone diet

Dietary counseling from a registered dietitian has been shown in previous studies to aid in weight loss for those receiving counseling. With the increasing use of smartphone diet/weight loss applications (app), this study sought to investigate if an iPhone diet app providing feedback from a registered dietitian improved weight loss and bio-markers of health. Twenty-four healthy adults who owned iPhones (BMI > 24 kg/m2) completed this trial. Participants were randomly assigned to one of three app groups: the MyDietitian app with daily feedback from a registered dietitian (n=7), the MyDietitian app without feedback (n=7), and the MyPlate feedback control app (n=10). Participants used their respective diet apps daily for 8-weeks while their weight loss, adherence to self-monitoring, blood bio-markers of health, and physical activity were monitored. All of the groups had a significant reduction in waist and hip circumference (p<0.001), a reduction in A1c (p=0.002), an increase in HDL cholesterol levels (p=0.012), and a reduction in calories consumed (p=0.022) over the duration of the trial. Adherence to diet monitoring via the apps did not differ between groups during the study. Body weight did not change during the study for any groups. However, when the participants were divided into low (<50% of days) or high adherence (>50% of days) groups, irrespective of study group, the high adherence group had a significant reduction in weight when compared to the low adherence group (p=0.046). These data suggest that diet apps may be useful tools for self-monitoring and even weight loss, but that the value appears to be the self-monitoring process and not the app specifically.

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Created

Date Created
2014

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Examining the impact of media content, emotions, and mental imagery visualization on pre-trip place attachment

Description

Numerous studies have examined the attachments individuals have to the places they visit, and that those attachments are formed through experiencing a place in person. This study is unique in that it examines pre-trip place attachment formation via the use

Numerous studies have examined the attachments individuals have to the places they visit, and that those attachments are formed through experiencing a place in person. This study is unique in that it examines pre-trip place attachment formation via the use of mobile technology and social media. It proposes that media experienced through the use of a participant's smartphone can foster the development of positive emotions, which in turn, facilitates greater mental imagery processing that ultimately influences pre-trip place attachment formation. An experimental design was constructed to examine how text and video on a destination's Facebook page influences an individual's emotions, mental imagery, and subsequently attachment to that destination. Specifically, a 2 (narrative text vs. descriptive text) x 2 (short, fast-paced video vs. long, slow-paced video) between-subjects design was used. A total of 343 usable participant responses were included in the analysis. The data was then analyzed through a two-step process using structural equation modeling. Results revealed no significant influence of textual or video media on emotions although the choice in text has a greater influence on emotions than choice in video. Additionally, emotions had a significant impact on mental imagery. Finally, mental imagery processing had a significant impact on only the social bonding dimension of place attachment. In conclusion, while media had no significant impact on emotions, the effect of previous traveler's retelling of personal accounts on the emotions of potential travelers researching a destination should be examined more closely. Further, the study participants had no prior experience with the destination, yet emotions influenced mental imagery, which also influenced social bonding. Thus further research should be conducted to better understand how potential traveler's image of a destination can be affected by the stories or others.

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Agent

Created

Date Created
2013

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Perceived Confidentiality of Mobile Application Data

Description

Over the past several years, the three major mobile platforms have seen
tremendous growth and success; as a result, the platforms have been the target
of many malicious attacks. These attacks often request certain permissions in
order to carry out

Over the past several years, the three major mobile platforms have seen
tremendous growth and success; as a result, the platforms have been the target
of many malicious attacks. These attacks often request certain permissions in
order to carry out the malicious activities, and uninformed users usually grant
them. One prevalent example of this type of malware is one that requests
permission  to  the  device’s  SMS  service,  and  once  obtained,  uses  the  SMS
service to accrue charges to the user. This type of attack is one of the most
prevalent on the Android application marketplace, and requires a long-term
solution. Replication of an attack is necessary to fully understand efficient
prevention methods, and due to the open-source nature of Android development,
to determine the likely mechanics of the attack as feasible.
This study uses the Hacker News application, an open source application
that is available for download through GitHub as a basis for creating a malware
application to study the SMS attack and explore prevention methods. From the
results and knowledge gained from both research and experimentation, a
proposition for a more secure operating system architecture was defined to
prevent and mitigate various attacks on mobile systems with a focus on SMS
attacks.

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Agent

Created

Date Created
2013-05