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The purpose of this Dissertation in Practice was to analyze the organizational factors affecting technology integration within the context of literacy instruction at a single school site that was preparing to implement a 1:1 mobile device initiative in all K-5 classrooms the following academic year. This was achieved through conducting an organizational analysis using a multi-frame model developed by Bolman and Deal (2008). This study used a convergent parallel mixed methods research design consisting of teacher and administrator interviews, a quantitative and qualitative survey, and classroom observational data. One main evaluation question was designed to frame this organizational analysis: What organizational factors support and impede technology integration within the context of literacy instruction? To answer the main evaluation question, the evaluator collected data to answer six evaluation sub-questions. The evaluation sub-questions were developed to ensure that data was being collected among Bolman and Deal's (2008) four frames. In the context of integrating technology into literacy instruction, the data collected in this study suggest that the organizational strategies and issues within the human resource frame are impacting, and are impacted by, the organization's political, structural, and symbolic practices. The teachers' lack of opportunities to develop the requisite knowledge, experience, and skills needed to integrate technology into literacy instruction seem to have impacted the teachers' level of technology integration as well as their levels of concern. Data from this organizational analysis indicated that the lack of time was a major obstacle in learning how to integrate mobile devices into literacy instruction. The school's current team-based organizational model, while supporting other aspects of their education practices, may create structural and political barriers to effectively implement the 1:1 mobile device initiative. Observations and interviews suggested that the school values technology to support basic literacy skills, but not the transformative role of technology on literacy in today's society. Using all four frames of the Bolman and Deal's (2008) model allows an organization to look beyond one frame, such as developing human resources through professional development, when working towards implementing a school-wide initiative effectively. Although tailored professional development is necessary for teachers to learn how to integrate technology into literacy instruction, the professional development will not be effective without greater stability in the instructional staff, and focused political and structural solutions that will support the instructional staff's professional learning and implementation.

Distance education is the fastest growing educational modality because of advances information technology has made over the past 25 years. Adult learners have become the fastest growing population in distance education. Adult learners, through technical tools and devices they use on the job, have become more digitally literate and mobile, making the ability to access class work on the go a necessity. Mobile learning or m-learning (learning that uses wireless, portable, mobile computing, and communication devices) is becoming an extension of distance learning, providing a channel for students to learn, communicate, and access educational material outside the traditional classroom environment. For adult learners, this modality allows them to take advantage of accessing material using mobile devices they use for job related activities. Despite the portability and readiness to information mobile devices provide its users, cognitive and physical ergonomic issues may impact learner performance. These issues may stem from information overload and physical discomfort from extended use of the mobile device which may negatively affect the overall success and satisfaction of m-learning environments. The purpose of this study was to examine the relationship between physical ergonomic discomfort, subjective workload, physiological response, and the impact on student performance while using mobile technology to read course material. Activity Theory was used as the theoretical foundation that guided the study. Eighty-four research participants, all over the age of 25, read a passage using one of two distance education modalities: desktop computer or mobile device. While reading the passage, one of three task load levels was imposed on participants: none, low or high. Each participant endured three trials, repeating the same task for each trial. After each trial, participants completed an achievement test and the NASA-TLX assessment. The results from this study provided evidence that mobile learning technologies with increased levels of task load introduced physical ergonomic discomfort and affected perceptions of mental workload in participants. The study also provided evidence that mobile learning technologies with increased levels of task load affected the performance (reading and learning) of participants. Study results provided insight into capabilities and limitations of students in their use of mobile devices for educational purposes. The limitations identified need to be further examined to aid in building successful m-learning environments with the goal of mobile device usage not affecting student performance.

Eye-tracking technology is used within various fields of research such as medicine, computer vision and psychology among others. Despite the many application areas and a growing interest, most eye-trackers rely on dedicated and expensive hardware to track eye movements on large monitors such as desktop displays. Eye-tracking on mobile devices using their built-in camera would be beneficial on a large scale since additional, expensive, equipment would not be needed. Because of the many smartphone users, the technology would be more available. This study aimed to explore the possibilities of using a smartphone camera and augmented reality (AR) for eye-tracking, as well as evaluate the accuracy and precision such a system could obtain. The methods used for gaze estimation were a ray-plane intersection and a system-controlled calibration using linear scaling and translation to adjust the future gaze positions. The mobile device eye-tracker was evaluated in terms of accuracy and precision by two validations using a point pattern to collect gaze data on fixations detected by the system. The result showed an accuracy and precision below optimal compared to previous studies on mobile eye- trackers and eye-trackers that use infra-red light to track the eye-movements. Several factors could have affected the result such as the environments in which the evaluations were held, eye-blinks during data collection or the implementation of the eye-tracking system including the method for calibration. Future work is recommended to evaluate the system in a controlled lab environment, including a larger number of participants and examine if the accuracy is mainly affected by external factors or if it is affected by the implementation of the system. Because of the many benefits of mobile device eye- tracking, future work within the area is encouraged. It would be interesting to investigate the ability to use a mobile device eye-tracker with unrestricted head- and hands movement for further use-cases and a more natural experience. / Teknik för ögonspårning används inom olika forskningsområden såsom medicin, datorsyn och psykologi. Trots många användningsområden och ett växande intresse förlitar sig de flesta ögonspårare på dyr hårdvara för att spåra ögonrörelser på stora bildskärmar. Ögonspårning på mobila enheter med hjälp av inbyggd kamera skulle vara fördelaktigt i stor skala eftersom ytterligare, dyr utrustning inte skulle behövas. Med tanke på de många mobiltelefonanvändare skulle tekniken vara mer tillgänglig. Denna studie syftade till att undersöka möjligheterna att använda en mobiltelefons kamera och förstärkt verklighet (AR) för ögonspårning, samt utvärdera noggrannheten och precisionen som ett sådant system skulle kunna uppnå. Metoderna som användes för att estimera blickens position var en strålplanskorsning och en systemstyrd kalibrering med linjär skalning och förskjutning för att justera framtida blickpositioner. Den mobila enhetens ögonspårare utvärderades i termer av noggrannhet och precision genom två valideringar med hjälp av ett punktmönster för att samla in blickdata från fixeringar som upptäcks av systemet. Resultatet visade en noggrannhet och precision under optimal jämfört med tidigare studier på mobila ögonspårare och ögonspårare som använder infrarött ljus. Flera faktorer kan ha påverkat resultatet, till exempel de miljöer i vilka utvärderingarna gjordes, blinkningar under datainsamlingen eller implementeringen av systemet inklusive val av kalibreringsmetod. Framtida arbete rekommenderas att utvärdera systemet i en kontrollerad laboratoriemiljö med ett större antal deltagare för att undersöka ifall noggrannheten huvudsakligen påverkas av externa faktorer eller av implementeringen av systemet. På grund av de många fördelarna med ögonspårning på mobila enheter uppmuntras framtida arbete inom området.

An estimated 20% of Swedish schoolchildren suffer from some form of reading difficulty such as dyslexia. Late diagnosis of dyslexia leads to consequences for both the individual and society. To identify such reading difficulties, over 50 different forms of reading assessments are being used in schools around Sweden. By using eye-tracking technology, one could minimize the time for these assessments and make them less prone to external biases. In this study such a solution is evaluated with regards to usability. Using widely available technology, mobile devices with built-in front-facing cameras, a reading assessment with integrated eye-tracking was developed. The aim of this study was to evaluate the usability of the solution and find areas to be improved. This was done through allowing 14 participants to use the application and answer a usability survey based on the System Usability Scale (SUS). The results showed an average SUS-score of 87.0, equivalent to a grade of A+, which reflected the positive responses in the open questions of the survey. The main area of improvement found was the speed of the calibration process, as this solution was found too slow. To further improve this solution, head and hand movement must be taken into consideration by the eye-tracker to allow free hand-held usage with less supervision. Further improvements such as larger screens and added machine learning are also suggested. Conclusively the results of this study show promise if such improvements are accomplished. / Uppskattningsvis lider 20% av svenska skolbarn av någon form av lässvårighet, däribland dyslexi. En sen diagnos av dyslexi leder till konsekvenser för både individen och samhället. För att identifiera sådana läsproblem används över 50 olika läsförståelsetest i skolor runt om i Sverige. Genom att använda ögonspårning (eye-tracking) kan man minimera tiden för dessa bedömningar och göra dem mindre benägna att påverkas av yttre faktorer. I denna studie utvärderas en sådan lösning med avseende på användbarhet. Med hjälp av allmänt tillgänglig teknik, mobila enheter med inbyggda framåtvända kameror, utvecklades en läsanalys med integrerad ögonspårning. Syftet med denna studie var att utvärdera användbarheten av denna lösning och hitta områden som skulle kunna förbättras. Detta gjordes genom att låta 14 deltagare använda applikationen och svara på en användbarhetsenkät baserad på System Usability Scale (SUS). Resultaten visade en genomsnittlig SUS-poäng på 87,0, vilket motsvarar betyget A +, samt återspeglade de positiva svaren i enkäten i undersökningen. Det främsta förbättringsområdet som hittades var kalibreringsprocessens hastighet, eftersom denna ansågs vara för långsam. För att ytterligare förbättra denna lösning måste huvud- och handrörelser tas i beaktande av eye-trackern för att möjliggöra fri handhållen användning med mindre översyn. Ytterligare förbättringar såsom större skärmar och tillagd maskininlärning föreslås också. Sammanfattningsvis visar resultaten av denna studie lovande framtidsutsikter för den utvecklade lösningen om sådana förbättringar tillämpas.

The cellphone turned 40 years old in 2013, and its evolution has been phenomenal in these 40 years. Its name has evolved from "cellphone" to "mobile phone" and "smartphone" to "mobile device."] Its transformation has been multi-dimensional in size, functionality, application, and the like. This transformation has allowed the mobile device to be utilized for casual use, personal use, and enterprise use. Usage is further driven by the availability of an enormous number of useful applications for easy download from application (App) markets. Casual download of a seemingly useful application from an untrusted source can cause immense security risks to personal data and any official data resident in the mobile device. Intruding malicious code can also enter the enterprise networks and create serious security challenges. Thus, a mobile device architecture that supports secure multi-persona operation is strongly needed. The architecture should be able to prevent system intrusions and should be able to perform regular integrity checking and auditing. Since Android has the largest user base among mobile device operating systems (OS), the architecture presented here is implemented for Android. This thesis describes how an architecture named the "Android Hypovisor" has been developed and implemented successfully as part of this project work. The key contributions of the project work are: 1. Enhancement of kernel security 2. Incorporation of an embedded Linux distribution layer that supports Glibc/shared libraries so that open-source tools can be added easily 3. Integration of integrity checking and auditing tools (Intrusion Detection and Prevention System; IDPS) 4. Integration of container infrastructure to support multiple OS instances. 5. Analysis shows that the hypovisor increases memory usages by 40-50 MB. As the proposed OS is stripped down to support the embedded hypovisor, power consumption is only minimally increased. This thesis describes how the implemented architecture secures mobile devices through high-performance, light-weight, subsystem isolation with integrity checking and auditing capabilities. / Master of Science

Problem: Although modern people are more aware than ever about the environment and responsible sourcing of raw materials, a gap exists between consumers’ preferences on eco-friendly products and their actual purchasing behaviour. Companies operating in the electronic mobile device industry have been unable to bridge this value-action gap and relatively little research has been conducted on this industry.   Topic & Purpose: This paper aims to investigate and discover the preferences and purchasing behaviour of young Swedish consumers operating in the electronic mobile device industry. This paper will focus on purchasing intentions, willingness to pay, and identify which consumption values have the highest effects on these consumers’ intent to purchase eco-friendly mobile devices.   Method: A descriptive strategy and a deductive approach were applied in order to understand the impact of consumption values, CSR, brand image, and product information on young Swedish consumers. Eight hypotheses were developed to test the influence of each of these factors. The empirical study was was based on a quantitative approach and the data collection was made through an online survey and face-to-face interviews targeted towards young Swedish consumers between the ages of 18 and 28. The data analysis was conducted by using the SPSS program in order to gain numerical values which could be used to analyse the validity of each hypothesis.   Conclusion: This study discovered two out of five consumption values to have a clearly higher impact on young Swedish consumers’ purchasing intentions towards eco-friendly mobile devices. These values were emotional and conditional value, indicating that environmental awareness and situational factors have the highest influence on shaping the consumption values of these consumers. In addition, brand image was seen to be an influential factor for these consumers, as opposed to CSR, or product information. Based on these findings, suggestions for further research were presented.

We investigate the security and usability of Human-Interactive Security Protocols (HISPs); specifically, how digests of 4 or more digits can be compared between two or more sys- tems as conveniently as possible while ensuring that issues such as user complacency do not compromise security. We address the research question: given different association scenarios and modes of authentication in HISPs, how can we improve on existing, or design new, empirical channels that suit human and contextual needs to achieve acceptable effective security? We review the literature of HISPs, proposed empirical channels,and usability studies of HISPs; we follow by presenting the methodology of the research reported in this thesis. We then make a number of contributions discussing the effectiveness of empirical channels and address the design, analysis, and evaluation of these channels. In Chapter 4 we present a user study of pairwise device associations and discuss the factors affecting effective security of empirical channels in single-user scenarios. In Chapter 5 we present a user study of group device associations and discuss the factors affecting effective security of empirical channels in multi-user scenarios. In Chapter 7 we present a framework designed for researchers and system designers to reason about empirical channels in HISPs. The framework is grounded in experimental data, related research, and validated by experts. In Chapter 8 we present a methodology for analysing and evaluating the security and usability of HISPs. We validate the methodology by applying it in laboratory experiments of HISPs. Finally, in Chapter 6 we present a set of principles for designing secure and usable empirical channels. We demonstrate the effectiveness of these principles by proposing new empirical channels.

This thesis explores the creation and setup of a prototype that allows users of the device to interact within an indoor real world environment and a virtual environment simultaneously using high-tech common technology. The prototype is comprised of a small mobile device such as a cellular mobile phone, Raspberry Pi computer, a battery powered handheld Pico projector, and software developed for the Android OS. The software can easily be ported to other mobile and non-mobile operating systems. The mobile device must contain accelerometer, magnetometer, and gyroscope embedded sensors as well as 802.11 wireless network chip. The prototype software implements an indoor positioning system to track the current location and orientation of the prototype device in real time. It also displays a virtual world projection upon the surfaces of the real world in relation to the prototype’s physical location and orientation. Three different orientation estimation methods were tested and compared in this thesis. Accelerometer and magnetometer based method, gyroscope based method, and a combined method using a technique called sensor fusion were implemented. A multilateration approach was used for location estimation. Location estimates were calculated from the measured received signal strength of multiple 802.11 wireless network access points. The location of all wireless access points were known and fixed. Received signal strength data was converted to meters using a log distance propagation model, and tests were conducted to compare actual distance with converted distance. Tests were also conducted to compare multilateration estimates from unfiltered or raw RSS and filtered RSS data using a Kalman filter.

The main objective of this thesis is to provide a smooth video playout on the mobile device over wireless networks. The parameters that specify the wireless channel include: bandwidth variation, frame losses, and outage time. These parameters may affect the quality of the video negatively, and the mobile users may notice sudden stops during the playout video, i.e., the picture is momentarily frozen, followed by a jump from one scene to a different one. This thesis focuses on eliminating frozen pictures and reducing the amount of video data that need to be transmitted. In order to eliminate frozen scenes on the mobile screen, we propose three different techniques. In the first technique, the video frames are split into sub-frames; these sub-frames are streamed over different channels. In the second technique the sub-frames will be “crossed” and sent together with other sub-frames that are from different positions in the streaming video sequence. If some sub-frames are lost during the transmission a reconstruction mechanism will be applied on the mobile device to recreate the missing sub-frames. In the third technique, we propose a Time Interleaving Robust Streaming (TIRS) technique to stream the video frames in different order. The benefit of that is to avoid losing a sequence of neighbouring frames. A missing frame from the streaming video will be reconstructed based on the surrounding frames on the mobile device. In order to reduce the amount of video data that are streamed over limited bandwidth channels, we propose two different techniques. These two techniques are based on identifying and extracting a high motion region of the video frames. We call this the Region Of Interest (ROI); the other parts of the video frames are called the non-Region Of Interest (non-ROI). The ROI is transmitted with high quality, whereas the non-ROI is interpolated from a number of references frames. In the first technique the ROI is a fixed size region; we considered four different types of ROI and three different scenarios. The scenarios are based on the position of the reference frames in the streaming frame sequence. In the second technique the ROI is identified based on the motion in the video frames, therefore the size, position, and shape of the ROI will be different from one video to another according to the video characteristic. The videos are coded using ffmpeg to study the effect of the proposed techniques on the encoding size. Subjective and objective metrics are used to measure the quality level of the reconstructed videos that are obtained from the proposed techniques. Mean Opinion Score (MOS) measurements are used as a subjective metric based on human opinions, while for objective metric the Structural Similarity (SSIM) index is used to compare the similarity between the original frames and the reconstructed frames.