User Experience Data Research Articles

Rural broadband: Gaps, maps and challenges

This paper examines challenges to evidence-based decision-making in the design and implementation of rural broadband investment programs. Our focus is on Canada, and the apparent need for further intra-rural broadband research and better data and mapping for informing public investment decisions, but similar challenges are evident in the international literature. Based on proprietary telecommunication provider datasets, the Canadian Radio-television and Telecommunication Commission (CRTC) estimates that broadband services with advertised speeds that meet its basic universal service targets (50 Mbps download and 10 Mbps upload) are available to 87.4 percent of households in Canada. In rural areas however, services that meet CRTC’s speed targets are available to 45.6 percent of households. Moreover, effective speeds and service quality levels that suppliers deliver and users experience tend to fall well below the government’s aspirational targets. In response to demand for better broadband, a variety of initiatives are directing public investment to the deployment of regional and rural broadband networks, which are typically owned and operated by private companies. There remains a serious lack of relevant data and its effective use in creating rural broadband strategies and managing public investment projects. Evidence from the literature suggest that this affects the degree and quality of geo-spatial and econometric analysis that results in a limited empirical basis to allocate scarce public investments, aggregate demand of consumers/communities, and assess the outcomes of rural broadband initiatives ex post. This paper provides a historical overview of rural broadband development in Canada and questions if the body of knowledge to inform public investment initiatives has grown sufficiently to ensure their effectiveness and sustainability. With a regional case from southwestern Ontario, Canada, we discuss the findings of the literature review, characterize the broadband data challenge, and discuss the importance of proprietary provider data cross-referenced with Internet user experience data.

Project OPUS: Development and evaluation of an electronic platform for pain management education of medical undergraduates in resource-limited settings.

Pain is a very frequent symptom that is reported by patients when they present to health professionals but remains undertreated or untreated, particularly in low-resource settings including Nigeria. Lack of training in pain management remains the most significant obstacle to pain treatment alongside an inadequate emphasis on pain education in undergraduate medical curricula, negatively impacting on subsequent care of patients. This study aimed to determine the effect of a 12-week structured e-Learning course on the knowledge of pain management among Nigerian undergraduate medical students. Prospective, multisite, pre-post study conducted across five medical colleges in Nigeria. Structured modules covering aspects of pain management were delivered on an e-Learning platform. Pre- and post-test self-assessments were carried out in the 12-week duration of the study. User experience questionnaires and qualitative interviews were conducted via instant messaging to evaluate user experiences of the platform. User experience data was analysed using the UEQ Data Analysis Tool and Framework Analysis. A total of 216 of 659 eligible students completed all sections of the e-Learning course. Participant mean age was 23.52 years, with a slight female predominance (55.3%). Across all participants, an increase in median pre- and post-test scores occurred, from 40 to 60 (Z = 11.3, p<0.001, effect size = 1.3), suggestive of increased knowledge acquisition relating to pain management. Participants suggested e-Learning is a valuable approach to delivering pain education alongside identifying factors to address in future iterations. e-Learning approaches to pain management education can enhance traditional learning methods and may increase students' knowledge. Future iterations of e-Learning approaches will need to consider facilitating the download of data and content for the platform to increase user uptake and engagement. The platform was piloted as an optional adjunct to existing curricula. Future efforts to advocate and support integration of e-Learning for pain education should be two-fold; both to include pain education in the curricula of medical colleges across Nigeria and the use of e-Learning approaches to enhance teaching where feasible.

A user-centric design approach for smart product-service systems using virtual reality: A case study

Virtual reality (VR) has been applied in many different sectors, including manufacturing and engineering industries as well as in the healthcare industry where VR-equipped health products can provide better prevention, rehabilitation, and palliative care in a user-friendly environment. The smart product-service system (PSS) aims to achieve better user experience and higher user satisfaction. Limited research has been conducted on the benefits of leveraging advanced VR systems in a sustainable smart PSS via analysis of human factors. Moreover, existing VR research lacks the systematic methods that fully consider user performance and experience in a smart manner. This study aims to outline a conceptual approach for user-centric development of value-added smart PSSs based on VR, and to develop a case study with a smart VR rowing machine to illustrate the proposed approach and to verify its feasibility and effectiveness. After the VR platform is created, user-generated and VR system-generated data are collected and processed. The value-added services of VR-assisted user experience and real-time data feedback can be achieved. The results of this ergonomic experiment were determined by jointly considering the user-generated and VR system-generated data. They showed that the developed smart VR rowing machine significantly enhanced the user experience. The value-added services of VR-assisted user experience and real-time data feedback have been achieved. Theoretically, the proposed conceptual framework for a VR-assisted, user-centric, smart PSS provides an approach of specific data-driven and value-added services compared to traditional methods since it simultaneously considers user-generated and VR system-generated data. In the practical smart PSS design of VR products, this paper contributes to the design methodology of VR products and value-added services to obtain more accurate and objective user experience. It is hoped that this study can offer insightful guidance to enterprises that are involved in the process of creating the value-added design and service based on VR.

Mental health nurses should influence what data are gathered for service users

Data and mental health nursing One of the many cultural impacts of the COVID-19 pandemic has been a global fascination with data, and its meaning. Data has been used to clarify and, at times, to obfuscate the complexities of the global spread of the virus. Whether used for good or ill, data has rarely been studied so avidly by so many. COVID19’s impact on healthcare has also made this a time of major change in clinical services, a time when good data is absolutely essential to support future service planning. Daniel Keys Moran points out “You can have data without information, but you cannot have information without data.” Currently collected data rarely seems to impact on clinical nursing practice, but when it is translated into useful information it can do so, for example service user experience and staffing levels data. Technology offers new forms of data, although its use is still rare in mental health services. Analysis of thousands of clinical records may identify behavioural patterns predictive of health outcomes, whilst bio-data, from personal monitors and other electronic systems, may identify early signs of individual physical and mental deterioration or help prevent incidents such as falls or self-harm. Such developments also carry risks which need careful management, such as a diminution of personal interactions between staff and service users. Privacy and self-determination may be compromised by routine electronic observation of service users, applied to all regardless of need. Recent events demonstrate the power of data and nursing insights should influence decisions as to what data is needed, and how it can be used. For nurses to contribute in this way also requires them to receive suitable education in interpreting, challenging and using data effectively. Nursing skills need to reflect the changing world in which we practice.

Polypharmacy in elderly migrants: perspectives of chronically ill migrants on E-Health-Applications

Abstract Background Polypharmacy occurs frequently among the elderly and is associated with an increased risk of falls and medication-related adverse events. Especially people with migration backgrounds may receive inappropriate medication due to language barriers or experiences of discrimination in healthcare. This study aimed to assess barriers to drug therapy in elderly migrants and to generate user experience data for the development of an e-health application. Methods 10 interviews, respectively, with chronically ill individuals of Turkish descent and with family caregivers. The 20 interviews were analyzed qualitatively by means of structuring content analysis. Results Medication is connected to uncertainty for respondents and most are affected by polypharmacy. Medication is not always taken regularly, especially among respondents living transnationally. Adherence depends on trust and the quality of doctor-patient relationships. The number of medications required and their side effects are a source of dissatisfaction, but elderly migrants develop a variety of coping strategies. Smartphone use is common among respondents and they are open to using an application for medication prescription and intake management. Conclusions Interprofessional care teams are needed in order to reduce uncertainty regarding medication management, to improve health literacy and to strengthen alliances between stakeholders. Additionally, collaboration between diversity-sensitive nursing care specialists and physicians is needed to provide accessible information, thus improving continuity of intake and adherence. E-health applications have the potential to improve medication management and information exchange between all stakeholders, thus facilitating correct medication use. Key messages Diversity-sensitive care can improve drug therapy for elderly migrants by removing language, information and trust barriers. Elderly migrants are open to web-applications for medication management.

Cold-start Point-of-interest Recommendation through Crowdsourcing

Recommender system is a popular tool that aims to provide personalized suggestions to user about items, products, services, and so on. Recommender system has effectively been used in online social networks, especially the location-based social networks for providing suggestions for interesting places known as POIs (points-of-interest). Popular recommender systems explore historical data to learn users’ preferences and, subsequently, they recommend locations to an active user. This strategy faces a major problem when a new POI or business evolves in a city. New business has no historical user experience data. Thus, a recommender system fails to gather enough knowledge about the new businesses, resulting in ignoring them during recommendations. This scenario is popularly known as a cold-start POI problem. Users never get recommendations of the new businesses in a city even though they can be relevant to a user. Also, from a business owner’s perspective, such a recommendation strategy does not help its reachability among users. Therefore, it is important for a recommender system to remain updated with new businesses in a city and ensure that all relevant POIs are recommended to a user irrespective of their lifetime. A POI recommendation approach is proposed in this work that can effectively handle the new businesses, or the cold-start POI problem, in a city. We crowdsource descriptions of cold-start POIs from various online social networks. The reviews of users are exploited here to learn the inherent features at the existing POIs and the new crowdsourced POIs. Finally, the proposed approach recommends top- K POIs consisting of the existing and new POIs. We perform experiments on the real-world Yelp dataset, which is one of the largest available data resources containing details on a wide range of businesses, users, and reviews. The proposed approach is compared with four existing POI recommendation approaches. The obtained results show that our approach outperforms others in handling cold-start POIs.

Speech and web-based technology to enhance education for pupils with visual impairment

This paper describes a new web-based system specially adapted to the education of Czech pupils with visual impairment. The system integrates speech and language technologies with a web framework in lower secondary education, especially in mathematics and physics subjects. A new interface utilized the text-to-speech (TTS) synthesis for online automatic reading of educational texts. The interface provides several TTS voices, synthesized data caching, and automatic processing of formulas in mathematics and physics. The system was designed to enable teachers create and manage teaching materials. It also enables the pupils to view and listen to the read forms of these documents online. A school for pupils with visual impairment participated in the development and implementation of the system. After one year of using the system daily, the user experience and evaluation data were collected. The results indicate a positive reception and frequent use of the system as well as a preference over classical educational materials.

On Maximizing Energy and Spectral Efficiencies Using Small Cells in 5G and Beyond Networks.

Addressing high capacity at low power as a key design goal envisages achieving high spectral efficiency (SE) and energy efficiency (EE) for the next-generation mobile networks. Because most data are generated in indoor environments, an ultra-dense deployment of small cells (SCs), particularly within multistory buildings in urban areas, is revealed as an effective technique to improve SE and EE by numerous studies. In this paper, we present a framework exploiting the four most interconnected-domain, including, power, time, frequency, and space, in the perspectives of SE and EE. Unlike existing literature, the framework takes advantage of higher degrees of freedom to maximize SE and EE using in-building SCs for 5G and beyond mobile networks. We derive average capacity, SE, and EE metrics, along with defining the condition for optimality of SE and EE and developing an algorithm for the framework. An extensive system-level evaluation is performed to show the impact of each domain on SE and EE. It is shown that employing multiband enabled SC base stations (SBSs) to increase operating spectrum in frequency-domain, reusing spectrum to SBSs more than once per building in spatial-domain, switching on and off each in-building SBS based on traffic availability to reduce SBS power consumption in power-domain, and using eICIC to avoid co-channel interference due to sharing spectrum with SBSs in time-domain can achieve massive SE and EE. Finally, we show that the proposed framework can satisfy SE, EE, as well as user experience data rate requirements for 5G and beyond mobile networks.

Smart tourism: State of the art and literature review for the last six years

Abstract In the modern era, the tourism sector has grown to be one of the dominant sectors globally while technology continues to evolve. These facts have given birth to the “Smart Tourism” concept which can be characterized as a progression from traditional tourism. In order to realize an actual Smart Tourism experience, the proper services need to be delivered to the right user at the right time with the best possible way. During the last six years, there has been a significant amount of research in the Smart Tourism field which, to the best of our knowledge, have not yet been presented in a thorough literature review. In this paper, after carefully reviewing a wide number of papers, we have managed to identify the most commonly used approaches and basic concepts in the Smart Tourism sector and present them in detail along with the papers that focus on them. In this study, “key concepts” include: Privacy Preserving, Context Awareness, Cultural Heritage, Recommender Systems, Social Media, Internet of Things, User Experience, Real Time, User Modeling, Augmented Reality and Big Data. At the same time, major Smart Tourism challenges are presented so as to lay the foundations for future researches in the field.

A Narrative Review of Methods for Applying User Experience in the Design and Assessment of Mental Health Smartphone Interventions.

User experience (UX) plays a key role in uptake and usage of mental health smartphone interventions, yet remains underinvestigated. This review aimed to characterize and compare UX evaluation approaches that have been applied in this specific context, and to identify implications for research and practice. A narrative review was conducted of UX-themed studies published in PubMed, PsycINFO, and Scopus up to February 2019. Eligible studies reported on data reflecting users' interactions with a smartphone intervention for any mental health condition. Studies were categorized into "situated" versus "construct-based" methods according to whether or not an established UX construct was used to acquire and analyze data. Situated approaches used bespoke UX metrics, including quantitative measures of usage and performance, as well as grounded interview data. Construct-based approaches such as assessments of usability and acceptability were based on conceptual frameworks, with methodologically stronger versions featuring construct definitions, validated measurement tools, and an ability to compare data across studies. Constructs and measures were sometimes combined to form bespoke construct-based approaches. Both situated and construct-based UX data may provide benefits during design and implementation of a mental health smartphone intervention by helping to clarify the needs of users and the impact of new features. Notable however was the omission of UX methods, such as split testing. Future research should consider these unaddressed methods, aim to improve the rigor of UX assessment, integrate their use alongside clinical outcomes, and explore UX assessment of more complex, adaptive interventions.

Impact of digital patient monitoring (DPM) on quality of clinical care of cancer immunotherapy (CIT)-treated patients (pts) with advanced/metastatic non-small cell lung cancer (a/mNSCLC)

Impact of digital patient monitoring (DPM) on quality of clinical care of cancer immunotherapy (CIT)-treated patients (pts) with advanced/metastatic non-small cell lung cancer (a/mNSCLC)

The Level of Satisfaction and Comfort While Using Cock-Up Splints

The aim of this study was based on client-center to analyze user experience and quantitative data from user satisfaction and comfort. User satisfaction can reflect the individual needs of the client. Comfort feeling affects wearing motivation and the outcome measurement of assistive device, and even the quality of rehabilitation.

How Data Gaps (re)Make Rural Broadband Gaps

This paper examines challenges to evidence-based decision-making in the design and implementation of rural broadband investment programs. Our focus is on Canada, but similar challenges are evident in the international literature. Based on proprietary telecommunication provider datasets, the Canadian Radio-television and Telecommunication Commission (CRTC) estimates that broadband services with advertised speeds that meet its basic universal service targets (50 Mbps download and 10 Mbps upload) are available to 84 percent of households in Canada. In rural areas however, services that meet CRTC’s speed targets are available to 37 percent of households.Moreover, effective speeds and service quality levels that suppliers deliver and users experience tend to fall well below the government’s aspirational targets. In response to demand for better broadband, a variety of initiatives are directing public investment to the deployment of regional and rural broadband networks, which are typically owned and operated by private companies. There remains a serious lack of relevant data and its effective use in rural broadband strategies and project management. Evidence from the literature suggest that this affects the degree and quality of geo-spatial and econometric analysis resulting in a limited empirical basis to allocate scarce public investments, engage consumers/communities, and assess the outcomes of rural broadband initiatives ex post. While investments in rural connectivity have vastly increased in recent years in Canada, this paper questions if the body of knowledge to inform these initiatives has grown sufficiently to ensure their effectiveness and sustainability. With examples from southern Ontario, Canada, we examine the relevant literature, characterize the broadband data challenge and discuss the importance of proprietary provider data cross-referenced with user experience data.

Reflections and refractions on Sakai/Moodle learning management system in developing countries: A case of Ghanaian universities’ demand and supply perspective analyses

Technological advancement has revolutionized teaching and learning in the twenty-first century. However, the full benefits are yet to be realized and clearly understood due to user experience data paucity, especially in developing countries. This study delves into the issue from both the demand and supply perspectives. The demand-side analysis interrogated students’ perceptions of the tonic and toxic facets of using the Sakai/Moodle learning management system, while supply-side analysis explored the perceived roles of university lecturers and university authorities in embedding this new culture in Ghana. Using a mixed-methods approach, two universities in Ghana were selected to serve as focal organizations. Long interviews with graduate students provided the qualitative data, while a survey of under-graduate students yielded the quantitative data. Triangulation revealed that despite nascent challenges, students found LMS to be useful in learning, and that lecturers and school authorities played pivotal roles in routinizing learning management systems (LMS) in Ghana. Mode of study, students’ gender, age and perceptions of the advantages and disadvantages of using ICT for teaching and learning as well as the role of lecturers and university authorities in enhancing the quality and sustainable use of LMS for teaching and learning in Ghana were found. The findings suggest that universities stand to benefit from the adoption and use of educational technologies for teaching and learning. Universities ought to consider the varied cognitions, affect and perspectives of students on teaching and learning technologies, when designing relevant policies that support the employment of ICT-enabled educational practice.

EHealth Interventions for Early Infant Diagnosis: Mothers’ Satisfaction with the HIV Infant Tracking System in Kenya

The HIV Infant Tracking System (HITSystem) is an eHealth intervention to improve early infant diagnosis (EID) through alerts to providers and text messages to mothers. This study explored mothers' experiences receiving standard and HITSystem-enhanced EID services to assess perceived intervention benefits, acceptability, and opportunities for improvement. This qualitative study was embedded within a cluster-randomized control trial to evaluate the HITSystem at six Kenyan government hospitals (3 intervention, 3 control). We conducted semi-structured interviews with 137 mothers attending EID follow-up visits. Compared to control sites, participants at HITSystem sites described enhanced EID quality; HITSystem-generated texts informed them of result availability and retesting needs, provided cues-to-action for clinic attendance, and engendered opportunities for patient support. They described improved EID efficiency through shorter waiting periods for results and fewer hospital visits. Participants reported high satisfaction with EID and acceptability of text messages; however, modifications to ensure text delivery, increase repeat testing reminders, include low literacy content options, and provide encouraging messages were suggested. These user experience data suggest improvements in EID at HITSystem sites when compared with control sites.

Using Computer Games to Support Mental Health Interventions: Naturalistic Deployment Study.

BackgroundRecent research has highlighted naturalistic uptake as a key barrier to maximizing the impact of mental health technologies. Although there is increasing evidence regarding the efficacy of digital interventions for mental health, as demonstrated through randomized controlled trials, there is also evidence that technologies do not succeed as expected when deployed in real-world settings.ObjectiveThis paper describes the naturalistic deployment of Pesky gNATs, a computer game designed to support cognitive behavioral therapy (CBT) for children experiencing anxiety or low mood. The objective of this deployment study was to identify how therapists use Pesky gNATs in real-world settings and to discover positive and negative factors. On the basis of this, we aimed to derive generalizable recommendations for the development of mental health technologies that can have greater impact in real-world settings.MethodsPesky gNATs has been made available through a not-for-profit organization. After 18 months of use, we collected usage and user experience data from therapists who used the game. Data were collected through an online survey and semistructured interviews addressing the expectations and experiences of both therapists and young people. Thematic analysis was used to identify key themes in the interview and survey data.ResultsA total of 21 therapists, who used Pesky gNATs with 95 young people, completed the online survey. Furthermore, 5 therapists participated in the follow-up interview. Confirming previous assessments, data suggest that the game can be helpful in delivering therapy and that young people generally liked the approach. Therapists shared diverse opinions regarding the young people for whom they deemed the game appropriate. The following 3 themes were identified: (1) stages of use, (2) impact on the delivery of therapy, and (3) customization. We discuss therapists’ reflections on the game with regard to their work practices and consider the question of customization, including the delicate balance of adaptable interaction versus the need for fidelity to a therapeutic model.ConclusionsThis study provides further evidence that therapeutic games can support the delivery of CBT for young people in real-world settings. It also shows that deployment studies can provide a valuable means of understanding how technologies integrate with the overall mental health ecosystem and become a part of therapists' toolbox. Variability in use should be expected in real-world settings. Effective training, support for therapist autonomy, careful consideration of different approaches to customization, the reporting of deployment data, and support for communities of practice can play an important role in supporting variable, but effective, use.

An Empirical Study on User Experience Evaluation and Identification of Critical UX Issues

We introduce an approach that supports researchers and practitioners to determine the quality of first-time user experience (FTUX) and long-term user experience (LTUX), as well as to identify critical issues with these two types of UX. The product we chose to study is a mobile fitness application. Mobile apps tend to have a much shorter service life than most other products; thus, the developers/designers need to pay great attention to both first-time and long-term user experience. This study is based on a multi-method approach. We employed the AttrakDiff questionnaire to assess users’ first impressions of the app, and the UX Curve method to evaluate how users’ experience of the app has changed over time. Besides the quantitative data, which helped to determine the quality of user experience, we also collected qualitative data during two interviews with participants, and focused on the issues that predominantly deteriorated user experience. A four-coordinate plane tool was designed later in the data analysis process that combined the two kinds of user experience data at the same time, which led to a qualitative positioning of the user experience status of a certain product. The model was further successfully adopted in the identification of user experience issues of an online fitness application.

What Is Being Used and Who Is Using It: Barriers to the Adoption of Smartphone Patient Experience Surveys.

BackgroundSmartphones are positioned to transform the way health care services gather patient experience data through advanced mobile survey apps which we refer to as smart surveys. In comparison with traditional methods of survey data capture, smartphone sensing survey apps have the capacity to elicit multidimensional, in situ user experience data in real time with unprecedented detail, responsiveness, and accuracy.ObjectiveThis study aimed to explore the context and circumstances under which patients are willing to use their smartphones to share data on their service experiences.MethodsWe conducted in-person, semistructured interviews (N=24) with smartphone owners to capture their experiences, perceptions, and attitudes toward smart surveys.ResultsAnalysis examining perceived risk revealed a few barriers to use; however, major potential barriers to adoption were the identity of recipients, reliability of the communication channel, and potential for loss of agency. The results demonstrate that the classical dimensions of perceived risk raised minimal concerns for the use of smartphones to collect patient service experience feedback. However, trust in the doctor-patient relationship, the reliability of the communication channel, the altruistic motivation to contribute to health service quality for others, and the risk of losing information agency were identified as determinants in the patients’ adoption of smart surveys.ConclusionsOn the basis of these findings, we provide recommendations for the design of smart surveys in practice and suggest a need for privacy design tools for voluntary, health-related technologies.

Development of a Plain Language Decision Support Tool for Cancer Clinical Trials: Blending Health Literacy, Academic Research, and Minority Patient Perspectives.

Despite the promise of clinical trials for improving cancer care, less than 5% of all cancer patients participate. Racial/ethnic minorities continue to be underrepresented in cancer clinical trials (CCTs). To address this gap, we developed a plain language, web-based decision support tool (CHOICES DST) in English and Spanish to support decision-making about CCTs among Blacks and Hispanics. In phase 1 (information collection), we conducted qualitative interviews with 45 cancer patients, completed a thorough literature review, and reviewed results from a telephone survey of 1100 cancer patients. In phase 2 (content generation), we created the first iteration of the CHOICES DST. In phase 3 (usability testing), we gathered user experience and acceptability data from a small sample of cancer survivors (n = 9). The Knowledge, Empowerment, and Values Clarification (KEV) model of decision-making was developed based on data from phase 1. The KEV model and other phase 1 data allowed us to create the CHOICES DST platform. Usability testing of the CHOICES DST showed highly favorable responses from users, satisfaction with content, ease of navigation, and a desire to use the tool. Qualitative results identified addressable points that would benefit from content and navigation-related alterations. The final version of the CHOICES DST was well received and understood by Black and Hispanic participants, and adheres to the mandates for plain language communication. This research provides preliminary data that CHOICES DST holds promise for improving knowledge of CCTs and potentially improving informed decision-making about participation in trials.

Ін’єктивний метод отримання даних користувацького досвіду в ігрових симуляторах комп’ютерних мереж

In the paper the ways of organizing the simulator’s work of computer networks are described, as well as methods and approaches for harvesting user experience. The application of this technology for entertainment and educational purposes is described. The main goals of collecting user data in gaming simulators of computer networks, which are used in particular in the competitions and contests for programming and application of IT technologies, are defined. Attention is drawn to the issue of collecting user experience data in applications that use a remote terminal connection using third-party software. Features of application of software interfaces of technologies which functionality can be used as a basis for method development are reviewed: technologies of containerization of the user environment of the operating system LXC and User Mode Linux, technology of packet interception based on the NetFilter network firewall and Open vSwitch virtual switch. Attention is also paid to isolating user processes and traffic from the host operating system environment, as well as the risks that may arise in the absence of measures and technologies of the sandbox software isolation. In the paper described the sequence of software implementation of the injective method, as well as the features of its use in the production environment. Attention is paid to logging changes to log files and real-time user activity logging. The features of the method are described in each of two variants of the basic containerization technology: LXC and User Mode Linux. The ways of increasing the security and reliability of the method itself when it is integrated with User Mode Linux virtualization technology are presented. Also ways of improving this approach by using additional Linux kernel modules are provided.