Att göra webbsidor tillgängliga för olika sorters enheter är ett område som har uppstått i och med smartphonens utveckling. Mängden enheter har under de senaste åren ökat stort och det är inte längre endast laptops och datorer som används. Då enheternas skärmupplösning skiljer sig krävs en anpassning beroende på enhet för att ge en bra användarupplevelse. För att identifiera tillgängliga tekniker har en kvalitativ undersökning genomförts. Undersökningen består av en genomgång av utvald litteratur samt intervjuer med utvecklare på företagen Nethouse och Laget.se utförts. Detta för att inhämta information om användandet av tekniker, undersöka om det finns något framträdande tankesätt samt undersöka för- och nackdelar med teknikerna. Slutsatsen är att alla tekniker har sina användningsområden eftersom de har olika styrkor och svagheter. Resultatet från denna studie presenteras som en genomgång av de befintliga teknikerna och deras potentiella användningsområden för att vägleda valet av teknik. / Making web pages available for different types of devices is an area that has arisen with the development of smartphones. In recent years it has become a major increase in units and there are no longer only laptops and computers that are being used. Since there is a size difference between the different devices there is need for adjustment depending on the device to provide a good user experience. The study was carried out as a qualitative study to identify available technologies. A review of available literature and interviews with developers at the companies Nethouse and Laget.se was conducted to obtain information on the performance of the techniques, if there is any way of thinking and if there is advantages and disadvantages of the techniques. The conclusion is that all technologies have their uses as they have different strengths and weaknesses. The results from this study are presented as a review of the existing technologies and their potential uses to guide the choice of technology.

Det här är ett examensarbete som är utfört på uppdrag av Meal Planning Concepts AB. Målet var att utveckla en native multi-plattformsapplikation till smartphones och surfplattor som skulle fungera på Android och iOS och dela databas med deras nuvarande webbsystem. Funktionaliteten skulle vara baserad på den som fanns på deras webbsida. Applikationen utvecklades i MoSync som är ett ramverk som klarar utveckling till multiplattform. Examensarbetet gick också ut på att utvärdera MoSync under projektetsgång och presentera andra liknande verktyg och hur de förhöll sig till MoSync. Rapporten visar upp arbetets gång och problem som uppstod under utvecklingen av applikationen såväl som slutresultatet. Förstudien visade att det fanns många andra verktyg som inriktade sig på stöd för flera plattformar. Ramverk som togs upp var jQuery Mobile, PhoneGap och Marmalade där det sistnämnda var det verktyg som var mest likt MoSync. MoSync visade sig vara ett ramverk där alla företagets krav på funktioner kunde uppfyllas förutom en designförenkling. Några nackdelar var att det var något buggigt och att communityt var litet. / This is a thesis that is done on behalf of Meal Planning Concepts AB. The goal was to developa native multi-platform application for smartphones and tablets that would work on Android and iOS, and share database with their current web system. The functionality would be based on that found on their website. The application was developed in MoSync which is a framework that is capable of multiplatform development. The purpose with the thesis was also to evaluate MoSync during the project and present other similar tools and how they behave compared to MoSync. The report showcases the work and problems encountered during the development of the application as well as the end result. The pilot study showed that there were many othertools that focused on support for multiple platforms. Frameworks raised were jQuery Mobile, PhoneGap and Marmalade where the latter was the tool that was the most similar to MoSync. MoSync proved to be a framework in which all the company's requirements for functionality could be met except for a design simplification. Some drawbacks were that it was slightly buggy and that the community was small.

Context. With the pervasive nature of mobile phones, many mobile health (mHealth) apps are released in market. It is of supreme importance to consolidate compliance right in the development of app. There are many policies and regulations formed in various countries that fundamentally protect patient information. Further, there are stringent actions taken for not complying with the regulations. This being the case, how do app developers from start-up to small scale companies find solutions to the problem? It is necessary to study the situation from developer’s perspective to create innovation and sustain. Objectives. In this study, we identify tools, techniques, methods or process used by developers to create a compliant app. This study also throws light on challenges being faced by the developers. Finally, a guideline is devised for the app developers to facilitate in development of a compliant app. Methods. A case study is performed with two data collection methods namely interviews and survey questionnaire to strengthen the findings. With not much of literature support, interview study helped in gaining perspective of developers instrumental in creation of survey instrument. Results. Different tools, techniques, methods, processes used by developers were identified. Alongside, challenges were also listed based on the importance level. Further, a guideline was drafted that serves as recommendation for the app developers in development of complaint mobile health app. The guideline devised is at a higher level that can help developers focus on key aspects with regards to development of a complaint mHealth app.   Conclusions. Author concludes that app developers mainly use project management tools available. There is a need for specific tools, techniques to be developed for the developers such that it becomes easy for app developers to develop compliant mHealth app. In fact, there must be effective guidelines drafted in the clearest possible way that can be used by developers without any ambiguity. This research acts as an exploratory study aimed at identifying the current practice of developers. More research is needed in this field to solve the developers’ problem.

Master of Science / Department of Computer Science / Mitchell L. Neilsen / It’s difficult to keep track of sleep patterns, medicine and water intake. Having sufficient sleep every day is very important as not getting enough sleep can lead to difficulties remembering things, concentrating and other problems. This application provides tools to track the sleeping pattern of the user based on the inputs given. When the user picks a date, a weekly graph is generated to see how the user’s sleep cycle looks. It also displays the average hours the user slept each day and the sleep pattern type below the graph. Medicine reminder is another tool which reduces the risk of skipping medicines. As many people tend to complicate the severity level of the disease by forgetting to take the required medicine, this app can help them to prevent such problems. It reminds them to take their medicine at the entered times until the end of the course duration. People often tend to forget to drink enough water. Staying hydrated is very important for our body to function properly and flush out toxins. For this purpose, this app features a water reminder to remind the user to drink water every hour until the daily limit is reached. This is done by calculating the amount of water that should be consumed every day based on the user’s details like age, weight, physical activity and gender. Apart from these, to stay fit and healthy one should do some physical activity every day which helps to activate their body. The instructions and videos of some exercises, information on health tips, and natural remedies to some common health problems that can be cured without any medication are provided in the app. This would be a very convenient application for those who are very busy with their work life and have difficult time tracking their sleep, medicine times and staying hydrated at work.

The two major smartphone platforms (Android and iOS) have more than two mil- lion mobile applications (apps) available from their respective app stores, and each store has seen more than 50 billion apps downloaded. Although apps provide desired functionality by accessing users’ personal information, they also access personal information for other purposes (e.g., advertising or profiling) that users may or may not desire. Users can exercise control over how apps access their personal information through permission managers. However, a permission manager alone might not be sufficient to help users manage their app privacy because: (1) privacy is typically a secondary task and thus users might not be motivated enough to take advantage of the permission manager’s functionality, and (2) even when using the permission manager, users often make suboptimal privacy decisions due to hurdles in decision making such as incomplete information, bounded rationality, and cognitive and behavioral biases. To address these two challenges, the theoretical framework of this dissertation is the concept of nudges: “soft paternalistic” behavioral interventions that do not restrict choice but account for decision making hurdles. Specifically, I designed app privacy nudges that primarily address the incomplete information hurdle. The nudges aim to help users make better privacy decisions by (1) increasing users’ awareness of privacy risks associated with apps, and (2) temporarily making privacy the primary task to motivate users to review and adjust their app settings. I evaluated app privacy nudges in three user studies. All three studies showed that app privacy nudges are indeed a promising approach to help users manage their privacy. App privacy nudges increased users’ awareness of privacy risks associated with apps on their phones, switched users’ attention to privacy management, and motivated users to review their app privacy settings. Additionally, the second study suggested that not all app privacy nudge contents equally help users manage their privacy. Rather, more effective nudge contents informed users of: (1) contexts in which their personal information has been accessed, (2) purposes for apps’ accessing their personal information, and (3) potential implications of secondary usage of users’ personal information. The third study showed that user engagement with nudges decreases as users receive repeated nudges. Nonetheless, the results of the third experiment also showed that users are more likely to engage with repeated nudges (1) if users have engaged with previous nudges, (2) if repeated nudges contain new in- formation (e.g., additional apps, not shown in earlier nudges, that accessed sensitive resources), or (3) if the nudge contents of repeated nudges resonate with users. The results of this dissertation suggest that mobile operating system providers should enrich their systems with app privacy nudges to assist users in managing their privacy. Additionally, the lessons learned in this dissertation may inform designing privacy nudges in emerging areas such as the Internet of Things.

I dagens digitaliserade samhälle krävs det att pedagogerna besitter digital kompetens då förskolan ska lägga grunden för att barnen kan verka i det moderna samhället. Intresset för att undersöka surfplattans roll i verksamheterna uppkom när vi kom i kontakt med förskolor som inte använder surfplattan i verksamheten och som inte heller har kunskaperna som krävs för att göra det. Det är ett faktum att allt yngre barn använder sig av digitala lärresurser och det har visat sig att surfplattan har en förmåga att väcka barns intresse, skapa en nyfikenhet och hålla dem motiverade. Vi har i denna studie valt att undersöka pedagogernas utsagor kring vilken roll surfplattan har som undervisningsverktyg i barns lärande. För att undersöka syftet använde vi oss av två metoder, intervju och inventering. Anledningen till att vi valde att göra intervjuer var för att vi ville undersöka pedagogernas uppfattning kring användandet av surfplattan. Inventeringar av surfplattor gjorde vi för att se hur innehållet såg ut och hur man kunde navigera sig. Vi kan konstatera att barnen får ett lustfyllt lärande genom att förskolorna använder surfplattan i verksamheten. Surfplattan ska däremot endast användas som ett komplement till annan pedagogisk undervisning. Det går att göra det mesta på en surfplatta däremot ska allt barnen gör kunna kopplas till förskolans läroplan. Innehållet i apparna på surfplattan har stor betydelse för barnets utveckling och lärande, innehållet bör därför vara noggrant granskat. Surfplattan bjuder in till att barnen samarbetar och utvecklar sin agens genom att bland annat fatta beslut och lösa problem. Även om barnen sitter själva vid surfplattan ska pedagogerna ge dem stöttning. Surfplattan används av både vuxna och barn i förskolan dock visar resultatet att pedagogernas okunskap och tidsbrist i verksamheten bidrar till att surfplattan inte används i en så stor utsträckning som pedagogerna önskar. Studien är baserad på didaktik och de didaktiska valen vad, hur och varför, dessa frågor genomsyrar hela arbetet.

As the population ages, prediction of falls risk is becoming an increasingly important research area. Due to built-in inertial sensors and ubiquity, smartphones provide an at- tractive data collection and computing platform for falls risk prediction and continuous gait monitoring. One challenge in continuous gait monitoring is that signi cant signal variability exists between individuals with a high falls risk and those with low-risk. This variability increases the di cultly in building a universal system which segments and labels changes in signal state. This paper presents a method which uses unsu- pervised learning techniques to automatically segment a gait signal by computing the dissimilarity between two consecutive windows of data, applying an adaptive threshold algorithm to detect changes in signal state, and using a rule-based gait recognition al- gorithm to label the data. Using inertial data,the segmentation algorithm is compared against manually segmented data and is capable of achieving recognition rates greater than 71.8%.

The main objective is to implement integration application for contacts and communication that will meet the Cloud-ready specification, therefore is ready for deployment in a cloud computing environment. The thesis summarizes the recommendations of scientific papers, case studies and documentation from cloud providers for cloud-ready application. It also summarizes the methodology Twelve-Factor app, which brings together a set of recommendations for cloud applications. The second objective is to define specification of application to be implemented on the basis of identified persona and its problems will be transformed to specification and requirements. It is followed by design of the architecture to meet the principles for the run in the cloud environment. The fourth partial objective is to evaluate recovered principles, procedures and actual implementation. The main contribution of this work is implemented in an application that is able to integrate contacts and communication. Another contribution of this work is to summarize and validate basic recommendations on cloud ready application and methodology Twelve-factor app.

abstract: Background: Unmanaged stress is a major contributing factor to the development of disease in both men and women. Middle-aged adults (40-64) have some of the highest stress of all age groups and the use of meditation may provide relief for conditions such as stress. A smartphone application (app) may help limit the magnitude of the perceived challenges of meditation. The purpose of this study is to determine the feasibility of a consumer-based meditation app (i.e., Calm) to reduce stress in middle-aged adults who self-report elevated stress. The preliminary effects of Calm on stress and health outcomes related to stress were explored as well as the preliminary effects of Calm on mindfulness and coping behaviors for stress were explored. Methods: Adults were recruited to a 4-week app-based health and well-being study. Participants were randomized into either a mindfulness meditation (i.e. Calm) group or a health education (POD) control group. Participants were asked to participate at least 10 minutes per day. Assessments were conducted for stress, anxiety, depression, mindfulness, physical activity, eating habits, and coping behaviors at pre- and post-intervention and voluntary phone interviews were held post-intervention. App usage data were collected subjectively through weekly participation logs and through objective app usage data provided by Calm. Results: Eighty-three participants were enrolled into the study and 60 completed the intervention and were analyzed. Feasibility and demand benchmarks were met with 96% of participants satisfied with the intervention and 93% found it enjoyable, appropriate, and useful. There was a 70% adherence (minutes/week) to the meditation intervention. Recruitment of men into the intervention group was 38.1% and retention of men was 81.3%. Significant changes were not observed in stress, anxiety, depression, or mindfulness, physical activity, eating habits, and coping behaviors. Conclusion: The findings of this study support the feasibility of a 4-week, mobile app-based mindfulness meditation intervention (i.e. Calm) in middle-aged adults. These finding do not demonstrate preliminary efficacy of Calm to reduce stress, anxiety, and depression or improvement of mindfulness, physical activity, eating habits, or coping behaviors among middle-aged adults who report elevated stress. These results can be applied for improved design of future studies. / Dissertation/Thesis / Masters Thesis Behavioral Health 2020

Managing groundwater resources requires computer modeling software, which in turn brings its own costs in education and usage fees. Although many groundwater modeling programs can be obtained at relatively inexpensive rates the hidden costs of software training remain high in general. What has been done is to make both the software and training available online for free, but this method delegates all responsibility to the users for both accessing the software in addition to learning how to use it properly. In this research the accessibility of groundwater models has been improved upon by creating a web app of an open source software called TimML. I divided up the task of building a general purpose groundwater modeling web app into three different apps with increasing sophistication. The first app I developed simulates construction dewatering using the Dupuit assumptions. The second app also simulates construction dewatering and uses the same basic graphical user interface I developed for the first app while implementing TimML as the backend processor. The culminating app, TimML-Cloud, builds on the user interface created in the first two apps and exposes more of the modeling capacity of TimML. By making TimML a cloud app, people with internet access have greater accessibility to an analytic element groundwater model than before. Because TimML is more accessible than before, people can more readily implement TimML as a decision-making tool in water resource management.